Agenda packet — San Marcos City Council, May 26, 2026 (part 6 of 10)

Executive Summary
This report evaluates potential local and regional air quality impacts associated with the proposed Santa Fe Flores Townhomes Project (project), located in the city of San Marcos at 2966, 2972, and 2982 S outh Santa Fe Avenue adjacent to North Las Flores Drive. The 2.6-acre (net) project site comprises assessor parcel numbers (APNs) 217-161-18 and 217-161-19, as well as 0.37 acres of APN 217-161-17. The project would require a General Plan Amendment and Rezone to allow the development of 46 multi-family residential townhome units. The project also proposes approximately 0.12 acres of off -site improvements, including the construction of a new shared driveway extending into the southern portion of APN 217 -161-17, upgrades to the existing liquor store parking lot, and landscaping within the 8-foot-wide irrevocable offer of dedication area along the project frontage. The liquor store, Gourmet Liquor, locat ed on the southern portion of APN 217-161-17 is not part of the project and would remain.

The primary goal of the San Diego Air Pollution Control District’s Regional Air Quality Strategy (RAQS) is to reduce ozone precursor emissions. Projects that propose development that is consistent with the growth anticipated by the San Diego Association of Governments’ growth projections and the City of San Marcos ( City) General Plan would not conflict with the RAQS. In the event that a project would propose development that is less dense than anticipated by the growth projections, the project would likewise be consistent with the RAQS. As calculated in this analysis, project emissions would be less than operational emissions associated with an industrial, commercial, and convenience market project that is consistent with the land use assumptions used in the RAQS.

Therefore, the project would not result in an increase in emissions that are not already accounted for in the RAQS. Thus, it can be concluded that the project would not obstruct or conflict with the implementation of the RAQS.

Additionally, as calculated in this analysis, project construction emissions would not exceed the applicable screening level emissions thresholds. These thresholds are designed to provide limits below which project emissions would not significantly change regional air quality. Therefore, as project emissions would be well below these limits, project construction would not result in a cumulatively considerable net increase in emissions of ozone (O 3), particulate matter with an
aerodynamic diameter of 10 microns or less ( PM10), or particulate matter with an aerodynamic diameter of 2.5 microns or less ( PM2.5), and impacts would be less than significant . Additionally, construction emissions would be temporary, intermittent, and would cease at the end of project construction.

Long-term emissions of regional air pollutants occur from operational sources. Based on emissions estimates, project operational emissions would not exceed the applicable regional emissions thresholds. Therefore, as project operational emissions would be below these limits, project operation would not result in a cumulatively considerable net increase in emissions of ozone, PM 10, or PM2.5, and impacts would be less than significant.

Sensitive land uses include schools and schoolyards, parks and playgrounds, daycare centers, nursing homes, hospitals, and residential communities. The nearest sensitive receptors are the residential uses located 300 feet to the northeast, 100 feet to the southeast, 160 feet to the south, and 115 feet to the southwest. The project is not anticipated to result in a carbon monoxide ( CO) hot spot at 1196
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project area intersections. Construction of the project and associated infrastructure would result in short-term diesel exhaust emissions from on -site, heavy-duty equipment. However, given the temporary nature of construction activities and implementation of Best Available Control Technology for Toxics measures, the project would not result in the exposure of sensitive receptors to substantial pollutant concentrations during construction.

The project does not include heavy industrial or agricultural uses that are typically associated with objectionable odors. The project would involve the use of diesel-powered equipment during construction. Diesel exhaust may occasionally be noticeable at a djacent properties; however, construction activities would be temporary, and the odors would dissipate quickly in an outdoor environment. Therefore, this impact would be less than significant.

1.0 Introduction
The purpose of this report is to assess potential short -term and long-term local and regional air quality impacts resulting from development of the proposed Santa Fe Flores Townhomes Project (project).

Air pollution affects all southern Californians. Effects can include increased respiratory infections, increased discomfort, missed days from work and school, and increased mortality. Polluted air also damages agriculture and our natural environment.

The state of California is divided geographically into 15 air basins for managing the air resources of the state on a regional basis. Areas within each air basin are considered to share the same air masses and, therefore, are expected to have similar ambient air quality. The project site is located within the San Diego Air Basin (SDAB). The SDAB is currently classified as a federal non -attainment area for ozone, and a state non- attainment area for particulate matter with an aerodynamic diameter of 10 microns or less (PM
10), particulate matter with an aerodynamic diameter of 2.5 microns or less (PM2.5), and ozone (O3).

Air quality impacts can result from the construction and operation of the project. Construction impacts are short term and result from fugitive dust, equipment exhaust, and indirect effects associated with construction workers and deliveries. Operational impacts can occur on two levels:
regional impacts resulting from growth -inducing development, or local hot -spot effects stemming from sensitive receivers being placed close to highly congested roadways. In the case of this project, operational impacts would be primarily due to emissions to the basin from mobile sources associated with vehicular travel along the roadways within the project area.

The analysis of impacts is based on federal and state Ambient Air Quality Standards and is assessed in accordance with the guidelines, policies, and standards established by the City of San Marcos (City) and the San Diego Air Pollution Control District (SDAPCD). Project compatibility with the adopted air quality plan for the area is also assessed. Measures are recommended, as required, to reduce potentially significant impacts.
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2.0 Project Description
The 2.6-acre (net) project site is located in the city of San Marcos at 2966, 2972, and 2982 S outh Santa Fe Avenue adjacent to North Las Flores Drive on assessor parcel numbers (APNs) 217-161-18 and 217-161-19, as well as 0.37 acres of APN 217 -161-17. The project also proposes approximately

0.12 acres of off-site improvements, including the construction of a new shared driveway extending into the southern portion of APN 217 -161-17, upgrades to the existing liquor store parking lot, and landscaping within the 8-foot-wide irrevocable offer of dedication area along the project frontage.

Figure 1 shows the regional location. Figure 2 shows an aerial photograph of the project site and vicinity.

On February 28, 2023, the City Council adopted a Mitigated Negative Declaration (MND; ND22-008; State Clearinghouse Number 2022090486), approved a General Plan Amendment (GPA ; GPA21-0008), and approved a Multi-Family Site Development Plan (MFSDP21-0002) for the Santa Fe Flores, LP Project (approved project). The requested Rezone (R21 -0004) required a second reading prior to approval on March 14, 2023. The approved project evaluated the impacts associated with a GPA to change the land use from Commercial (C) and Light Industrial (L-I) to Medium Density Residential 2 (MDR2) and a zone change from Commercial (C) and Light Industrial (L -I) to Multi - Family Residential (R -3-10) to allow for the construction of 50 multi-family residential townhome units, in conjunction with a Density Bonus, on a 2.23-acre site consisting of two parcels, APNs 217- 161-18 and 217-161-19.

Subsequent to MND approval, the applicant modified the site plan and added 0.37 acres of APN 217-161-17 through a lot line adjustment to be processed. The project would require a GPA from Medium Density Residential 2 (MDR2) to Medium High Density Residential (MHDR) for APNs 217 - 161-18 and 217-161-19, and a GPA from Commercial (C) to Medium High Density Residential (MHDR) for 0.37 acres of the northern portion of APN 217-161-17. Additionally, the project would rezone APNs 217-161-18 and 217-161-19 from Multi-Family Residential 3 (R-3-10) to Multi-Family Residential (R-3- 6) and 0.37 acres of the northern portion of APN 217-161-17 from Commercial (C) to Multi-Family Residential (R-3-6). The project would develop 46 multi-family residential townhome units in seven buildings that would be three stories and 35 feet 4 inches in height. Vehicle parking would include 92 spaces within attached garages and 15 guest spaces. The liquor store would not be part of the project and would remain. Project grading would include 23,300 cubic yards of cut and 3,200 cubic yards of fill resulting in the export of 20,100 cubic yards of soil. Figure 3 shows the proposed site plan.

3.0 Regulatory Framework

3.1 Federal Regulations
Ambient Air Quality Standards (AAQS) represent the maximum levels of background pollution considered safe, with an adequate margin of safety, to protect public health and welfare. The federal Clean Air Act (CAA) was enacted in 1970 and amended in 1977 and 1990 (42 United States Code [USC] 7401) for the purposes of protecting and enhancing the quality of the nation’s air resources to benefit public health, welfare, and productivity. In 1971, in order to achieve the purposes of 1198
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Usmc Air
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Camp Pendleton
Marine Co Base
Cleveland National
Forest
Temecula
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Encinitas
Oceanside
Poway
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Vista
Carlsbad
Santee
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Hidden
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Section 109 of the CAA [42 USC 7409], the U.S. Environmental Protection Agency (U.S. EPA) developed primary and secondary National Ambient Air Quality Standards (NAAQS).

Six criteria pollutants of primary concern have been designated: ozone, carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), lead (Pb), and respirable particulate matter (PM 10 and PM2.5).

The primary NAAQS “. . . in the judgment of the Administrator, based on such criteria and allowing an adequate margin of safety, are requisite to protect the public health . . .” and the secondary standards “. . . protect the public welfare from any kno wn or anticipated adverse effects associated with the presence of such air pollutant in the ambient air” (42 USC 7409[b][2]). The primary NAAQS were established, with a margin of safety, considering long-term exposure for the most sensitive groups in the general population (i.e., children, senior citizens, and people with breathing difficulties).

The NAAQS are presented in Table 1 (California Air Resources Board [CARB] 2024).

An air basin is designated as either attainment or non -attainment for a particular pollutant. Once a non-attainment area has achieved the AAQS for a particular pollutant, it is re-designated as an attainment area for that pollutant. To be redesignated, the area must meet air quality standards for three consecutive years. After re-designation to attainment, the area is known as a maintenance area and must develop a 10-year plan for continuing to meet and maintain air quality standards, as well as satisfy other requirements of the federal CAA. The SDAB is a non-attainment area for the federal ozone standard.

3.2 State Regulations

3.2.1 Criteria Pollutants
The CARB has developed the California Ambient Air Quality Standards ( CAAQS) and generally has set more stringent limits on the criteria pollutants than the NAAQS (see Table 1). In addition to the federal criteria pollutants, the CAAQS also specify standards for visibility-reducing particles, sulfates, hydrogen sulfide, and vinyl chloride (see Table 1).

Similar to the federal CAA, the state classifies as either “attainment” or “non -attainment” areas for each pollutant based on the comparison of measured data with the CAAQS. The SDAB is a nonattainment area for the state ozone standards, the state PM 10 standard, and the state PM 2.5 standard.

3.2.2 Toxic Air Contaminants
The public’s exposure to toxic air contaminants (TACs) is a significant public health issue in California.

Diesel-exhaust particulate matter emissions have been established as TACs. In 1983, the California Legislature enacted a program to identify the health effects of TACs and to reduce exposure to these contaminants to protect the public health (Assembly Bill [AB] 1807: Health and Safety Code Sections 39650–39674). The California Legislature established a two -step process to address the potential health effects from TACs. The first step is the risk assessment (or identification) phase. The second step is the risk management (or control) phase of the process. 1202
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Table 1
Ambient Air Quality Standards
Pollutant Averaging Time
California Standards1 National Standards2
Concentration3 Method4 Primary3,5 Secondary3,6 Method7
Ozone8
1 Hour 0.09 ppm
(180 µg/m3) Ultraviolet
Photometry
– Same as
Primary
Standard
Ultraviolet
Photometry
8 Hour 0.07 ppm
(137 µg/m3)

0.070 ppm
(137 µg/m3)
Respirable
Particulate
Matter
(PM10)9
24 Hour 50 µg/m3
Gravimetric or
Beta Attenuation
150 µg/m3 Same as
Primary
Standard
Inertial Separation
and Gravimetric
Analysis
Annual
Arithmetic Mean 20 µg/m
3 –
Fine
Particulate
Matter
(PM2.5)9
24 Hour No Separate State Standard 35 µg/m3
Same as
Primary
Standard
Inertial Separation
and Gravimetric
Analysis Annual
Arithmetic Mean 12 µg/m3 Gravimetric or
Beta Attenuation 9 µg/m3 15 µg/m3
Carbon
Monoxide
(CO)
1 Hour 20 ppm
(23 mg/m3) Non-dispersive
Infrared
Photometry
35 ppm
(40 mg/m3) –
Non-dispersive
Infrared
Photometry
8 Hour 9.0 ppm
(10 mg/m3)
9 ppm
(10 mg/m3) –
8 Hour
(Lake Tahoe)
6 ppm
(7 mg/m3) – –
Nitrogen
Dioxide
(NO2)10
1 Hour 0.18 ppm
(339 µg/m3) Gas Phase Chemi-
luminescence
100 ppb
(188 µg/m3) –
Gas Phase Chemi-
luminescence Annual
Arithmetic Mean

0.030 ppm
(57 µg/m
3)

0.053 ppm
(100 µg/m3)
Same as
Primary
Standard
Sulfur
Dioxide
(SO
2)11
1 Hour 0.25 ppm
(655 µg/m3)
Ultraviolet
Fluorescence
75 ppb
(196 µg/m3) –
Ultraviolet
Fluorescence;
Spectro-
photometry
(Pararosaniline
Method)
3 Hour – – 0.5 ppm
(1,300 µg/m3)
24 Hour 0.04 ppm
(105 µg/m3)

0.14 ppm
(for certain
areas)11
–
Annual
Arithmetic Mean –

0.030 ppm
(for certain
areas)11
–
Lead12,13
30 Day Average 1.5 µg/m3
Atomic
Absorption
– –
High Volume
Sampler and
Atomic
Absorption
Calendar Quarter – 1.5 µg/m3 (for
certain areas)12 Same as
Primary
Standard
Rolling
3-Month
Average
– 0.15 µg/m3
Visibility
Reducing
Particles14
8 Hour See footnote 14
Beta Attenuation
and Transmittance
through Filter
Tape
No National Standards Sulfates 24 Hour 25 µg/m3 Ion Chroma- tography
Hydrogen
Sulfide 1 Hour 0.03 ppm
(42 µg/m3)
Ultraviolet
Fluorescence
Vinyl
Chloride12 24 Hour 0.01 ppm
(26 µg/m3)
Gas Chroma-
tography
See footnotes on next page.
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Table 1
Ambient Air Quality Standards
ppm = parts per million; ppb = parts per billion; µg/m3 = micrograms per cubic meter; – = not applicable. 1 California standards for ozone, carbon monoxide (except 8 -hour Lake Tahoe), sulfur dioxide (1 and 24 hour), nitrogen dioxide, particulate matter (PM10, PM2.5, and visibility reducing particles), are values that are not to be exceeded. All others are not to be equaled or exceeded. California ambient air quality standards are listed in the Table of Standards in Section 70200 of Title 17 of th e California Code of Regulations.
2 National standards (other than ozone, particulate matter, and those based on annual arithmetic mean) are not to be exceeded m ore than once a year. The ozone standard is attained when the fourth highest 8 -hour concentration measured at each site in a year, averaged over three years, is equal to or less than the standard. For PM10, the 24-hour standard is attained when the expected number of days per calendar year with a 24-hour average concentration above 150 µg/m3 is equal to or less than one. For PM2.5, the 24-hour standard is attained when 98 percent of the daily concentrations, averaged over three years, are equal to or less than the standard.

Contact the U.S. EPA for further clarification and current national policies. 3 Concentration expressed first in units in which it was promulgated. Equivalent units given in parentheses are based upon a re ference temperature of 25°C and a reference pressure of 760 torr. Most measurements of air quality are to be corrected to a referen ce temperature of 25°C and a reference pressure of 760 torr; ppm in this table refers to ppm by volume, or micromoles of polluta nt per mole of gas.
4 Any equivalent measurement method which can be shown to the satisfaction of the Air Resources Board to give equivalent results at or near the level of the air quality standard may be used. 5 National Primary Standards: The levels of air quality necessary, with an adequate margin of safety to protect the public health. 6 National Secondary Standards: The levels of air quality necessary to protect the public welfare from any known or anticipated adverse effects of a pollutant.
7 Reference method as described by the U.S. EPA. An “equivalent method” of measurement may be used but must have a “consistent relationship to the reference method” and must be approved by the U.S. EPA. 8 On October 1, 2015, the national 8-hour ozone primary and secondary standards were lowered from 0.075 to 0.070 ppm. 9 On February 7, 2024, the national annual PM2.5 primary standard was lowered from 12.0 µg/m3 to 9.0 µg/m3. The existing national 24- hour PM2.5 standards (primary and secondary) were retained at 35 µg/m 3, as was the annual secondary standards of 15 µg/m 3. The existing 24 -hour PM 10 standards (primary and secondary) of 150 µg/m 3 also were retained. The form of the annual primary and secondary standards is the annual mean, averaged over 3 years. 10 To attain the 1-hour national standard, the 3-year average of the annual 98th percentile of the 1-hour daily maximum concentrations at each site must not exceed 100 ppb. Note that the national standards are in units of ppb. California standards are in units of ppm.

To directly compare the national standards to the California standards the units can be converted from ppb to ppm. In this case, the national standard of 100 ppb is identical to 0.100 ppm. 11 On June 2, 2010, a new 1 -hour SO2 standard was established and the existing 24 -hour and annual primary standards were revoked.

To attain the 1-hour national standard, the 3-year average of the annual 99th percentile of the 1-hour daily maximum concentrations at each site must not exceed 75 ppb. The 1971 SO 2 national standards (24-hour and annual) remain in effect until one year after an area is designated for the 2010 standard, except that in areas designated non -attainment for the 1971 standards, the 1971 standards remain in effect until implementation plans to attain or maintain the 2010 standards are approved.

Note that the 1 -hour national standard is in units of ppb. California standards are in units of ppm. To directly compare the 1 -hour national standard to the California standard the units can be converted to ppm. In this case, the national standard of 75 ppb is identical to 0.075 ppm.
12 The Air Resources Board has identified lead and vinyl chloride as ‘toxic air contaminants’ with no threshold level of exposur e for adverse health effects determined. These actions allow for the implementation of control measures at levels below the ambient concentrations specified for these pollutants.
13 The national standard for lead was revised on October 15, 2008 to a rolling 3-month average. The 1978 lead standard (1.5 μg/m3 as a quarterly average) remains in effect until one year after an area is designated for the 2008 standard, except that in areas d esignated non-attainment for the 1978 standard, the 1978 standard remains in effect until implementation plans to attain or m aintain the 2008 standard are approved.
14 In 1989, the ARB converted both the general statewide 10 -mile visibility standard and the Lake Tahoe 30 -mile visibility standard to instrumental equivalents, which are “extinction of 0.23 per kilometer” and “extinction of 0.07 per kilometer” for the statewide and Lake Tahoe Air Basin standards, respectively.

SOURCE: CARB 2024.

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The California air toxics Program establishes the process for the identification and control of TACs and includes provisions to make the public aware of significant toxic exposures and for reducing risk.

Additionally, the Air Toxics "Hot Spots" Information and Assessment Act (AB 2588, 1987, Connelly Bill) was enacted in 1987 and requires stationary sources to report the types and quantities of certain substances routinely released into the air.

The goals of the Air Toxics "Hot Spots" Act are to collect emission data, to identify facilities having localized impacts, to ascertain health risks, to notify nearby residents of significant risks, and to reduce those significant risks to acceptable levels.

The Children’s Environmental Health Protection Act, California Senate Bill 25 (Chapter 731, Escutia, Statutes of 1999), focuses on children’s exposure to air pollutants. The act requires CARB to review its air quality standards from a children’s health perspective, evaluate the statewide air monitoring network, and develop any additional air toxic control measures needed to protect children’s health.

Locally, toxic air pollutants are regulated through the SDAPCD’s Regulation XII. Of particular concern statewide are diesel -exhaust particulate matter emissions. Diesel-exhaust particulate matter was established as a TAC in 1998 and is estimated to represent a majority of the cancer risk from TACs statewide (based on the statewide average). Diesel exhaust is a complex mixture of gases, vapors, and fine particles. This complexity makes the evaluation of health effects of diesel exhaust a complex scientific issue. Some of the chemicals in diesel exhaust, such as benzene and formaldehyde, have been previously identified as TACs by the CARB and are listed as carcinogens either under the state's Proposition 65 or under the federal Hazardous Air Pollutants program.

Following the identification of diesel particulate matter (DPM) as a TAC in 1998, CARB has worked on developing strategies and regulations aimed at reducing the risk from DPM. The overall strategy for achieving these reductions is found in the Risk Reduction Plan to Reduce Particulate Matter Emissions from Diesel-Fueled Engines and Vehicles (CARB 2000). To monitor the effectiveness of the efforts to reduce DPM, CARB has supported field campaigns that measure real-world emissions from heavy-duty vehicles, and results indicate that regulations aimed at reducing emissions of DPM have been successful.

In April 2005, CARB published the Air Quality and Land Use Handbook: A Community Health Perspective (CARB 2005). The handbook makes recommendations directed at protecting sensitive land uses from air pollutant emissions while balancing a myriad of other land use issues (e.g., housing, transportation needs, economics). It notes that the handbook is not regulatory or binding on local agencies and recognizes that application takes a qualitative approach. As reflected in the CARB Handbook, there is currently no adopted standard for the significance of health effects from mobile sources. Therefore, the CARB has provided guidelines for the siting of land uses near heavily traveled roadways. Of pertinence to this study, the CARB guidelines indicate that siting new sensitive land uses within 500 feet of a freeway or urban roads with 100,000 or more vehicles per day should be avoided when possible.

However, transit-oriented, infill, and compact development characterizes many communities located near heavily traveled roadways. This type of development pattern has many benefits, including reducing traffic. To address these issues, in April 2017, CARB published the Technical Advisory:

Strategies to Reduce Air Pollution Exposure Near High Volume Roadways (Technical Advisory; CARB 2017). The Technical Advisory acknowledges the benefits of transit-oriented infill development, which 1205
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often occurs adjacent to high -volume roadways, and identifies strategies to reduce exposure, including practices and technologies that reduce traffic emissions, increase dispersion of traffic pollution, and remove pollution from the air. Strategies that reduce traffic emissions include speed reduction mechanisms (e.g., reduced speed limits, speed bumps, roundabouts) and traffic signal management. Strategies that increase the dispersion of traffic emissions include land use designs that promote airflow and pollutant dispersion along street corridors, solid barriers (such as sound walls), and vegetation. Strategies that remove pollution from the air include indoor high efficiency filtration.

As an ongoing process, CARB will continue to establish new programs and regulations for the control of diesel particulate and other air-toxics emissions as appropriate. The continued development and implementation of these programs and policies will ensure that the public’s exposure to DPM will continue to decline.

3.2.3 State Implementation Plan
The State Implementation Plan (SIP) is a collection of documents that set forth the state’s strategies for achieving the NAAQS. In California, the SIP is a compilation of new and previously submitted plans, programs (air quality management plans, monitoring, modeling, permitting, etc.), district rules, state regulations, and federal controls. The CARB is the lead agency for all purposes related to the SIP under state law. Local air districts and other agencies, such as the Department of Pesticide Regulation and the Bureau of Automotive Repair, prepare SIP elements and submit them to CARB for review and approval. The CARB then forwards SIP revisions to the U.S. EPA for approval and publication in the Federal Register. All the items included in the California SIP are listed in the Code of Federal Regulations (CFR) at 40 CFR 52.220.

The SDAPCD is responsible for preparing and implementing the portion of the SIP applicable to the SDAB. The SIP plans for San Diego County specifically include the Redesignation Request and Maintenance Plan for the 1997 National Ozone Standard for San Diego County (SDAPCD 2012), the 2004 Revision to the California State Implementation Plan for Carbon Monoxide– Updated Maintenance Plan for Ten Federal Planning Areas (CARB 2004) , and the 2020 Plan for Attaining the National Ambient Air Quality Standard for Ozone in San Diego County (SDAPCD 2020).

3.2.4 The California Environmental Quality Act
Section 15125(d) of the California Environmental Quality Act (CEQA) Guidelines requires discussion of any inconsistencies between the project and applicable general plans and regional plans, including the applicable air quality attainment or maintenance plan (or SIP).

3.3 San Diego Air Pollution Control District

3.3.1 Regional Air Quality Strategy
The SDAPCD is the agency that regulates air quality in the SDAB. The SDAPCD prepared the Regional Air Quality Strategy (RAQS) in response to the requirements set forth in the California CAA AB 2595 1206
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(SDAPCD 1992) and the federal CAA. Motor vehicles are San Diego County’s leading source of air pollution (SDAPCD 2022 ). In addition to these sources, other mobile sources include construction equipment, trains, and airplanes. Reducing mobile source emissions requires the technological improvement of existing mobile sources and the examination of future mobile sources, such as those associated with new or modification projects ( e.g., retrofitting older vehicles with cleaner emission technologies). In addition to mobile sources, stationary sources also contribute to air pollution in the SDAB. Stationary sources include gasoline stations, power plants, dry cleaners, and other commercial and industrial uses. Stationary sources of air pollution are regulated by the local air pollution control or management district, in this case the SDAPCD.

The SDAPCD is responsible for preparing and implementing the RAQS. As part of the RAQS, the SDAPCD developed Transportation Control Measures (TCMs) for the air quality plan prepared by the San Diego Association of Governments (SANDAG) in accordance with AB 2595 and adopted by SANDAG on March 27, 1992, as Resolution Number 92-49 and Addendum. The RAQS and TCM set forth the steps needed to accomplish attainment of NAAQS and CAAQS. The most recent update of the RAQS and TCM occurred in 2022 (SDAPCD 2022).

3.3.2 Rules and Regulations
The SDAPCD has also established a set of rules and regulations initially adopted on January 1, 1969, and periodically reviewed and updated. The following rules and regulations are applicable to the project:
• SDAPCD Regulation IV: Prohibitions; Rule 50: Visible Emissions. Prohibits discharge into the atmosphere from any single source of emissions whatsoever any air contaminant for a period or periods aggregating more than three minutes in any period of 60 consecutive minutes that is darker in shade than that designated as Number 1 on the Ringelmann Chart, as published by the United States Bureau of Mines, or of such opacity as to obscure an observer’s view to a degree greater than does smoke of a shade designated as Number 1 on the Ringelmann Chart.
• SDAPCD Regulation IV: Prohibitions; Rule 51: Nuisance. Prohibits the discharge, from any source, of such quantities of air contaminants or other materials that cause or have a tendency to cause injury, detriment, nuisance, annoyance to people and/or the public, or damage to any business or property.
• SDAPCD Regulation IV: Prohibitions; Rule 55: Fugitive Dust. Regulates fugitive dust emissions from any commercial construction or demolition activity capable of generating fugitive dust emissions, including active operations, open storage piles, and inactive disturbed areas, as well as track-out and carry-out onto paved roads beyond a project site. • SDAPCD Regulation IV: Prohibitions; Rule 67.0.1: Architectural Coatings. Requires manufacturers, distributors, and end users of architectural and industrial maintenance coatings to reduce volatile organic compounds (VOC) emissions from the use of these coatings, primarily by placing limits on the VOC content of various coating categories. 1207
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• SDAPCD Regulation XII: Toxic Air Contaminates; Rule 1200: Toxic Air Contaminants – New Source Review. Requires new or modified stationary source units with the potential to emit TACs above rule threshold levels to either demonstrate that they will not increase the maximum incremental cancer risk above one in one million at every receptor location, or demonstrate that toxics best available control technology will be employed if maximum incremental cancer risk is equal to or less than 10 in one million, or demonstrate compliance with SDAPCD’s protocol for those sources with an increase in maximum incremental cancer risk at any receptor location of greater than 10 in one million but less than 100 in one million. • SDAPCD Regulation XII: Toxic Air Contaminates; Rule 1210: Toxic Air Contaminant Public Health Risks – Public Notification and Risk Reduction. Requires each stationary source that is required to prepare a public risk assessment to provide written public notice of risks at or above the following levels: maximum incremental cancer risks equal to or greater than 10 in one million, or cancer burden equal to or greater than 1.0, or total acute non -cancer health hazard index equal to or greater than 1.0, or total chronic non-cancer health hazard index equal to or greater than 1.0.

4.0 Environmental Setting

4.1 Geographic Setting
The project is located in the city of San Marcos, about eight miles east of the Pacific Ocean. The eastern portion of the SDAB is surrounded by mountains to the north, east, and south. These mountains tend to restrict airflow and concentrate pollutants in the valleys and low-lying areas below.

4.2 Climate
The project area, like the rest of San Diego County, has a Mediterranean climate characterized by warm, dry summers and mild winters. The mean annual temperature for the project area is 63 degrees Fahrenheit (°F). The average annual precipitation is 10 inches, falling primarily from November to April. Winter low temperatures in the project area average about 47°F, and summer high temperatures average about 75°F (National Oceanic and Atmospheric Administration 2024).

The dominant meteorological feature affecting the region is the Pacific High Pressure Zone, which produces the prevailing westerly to northwesterly winds. These winds tend to blow pollutants away from the coast toward the inland areas. Consequently, air quality near the coast is generally better than that which occurs at the base of the coastal mountain range.

Fluctuations in the strength and pattern of winds from the Pacific High Pressure Zone interacting with the daily local cycle produce periodic temperature inversions that influence the dispersal or containment of air pollutants in the SDAB. Beneath the inversion layer pollutants become “trapped” as their ability to disperse diminishes. The mixing depth is the area under the inversion layer.

Generally, the morning inversion layer is lower than the afternoon inversion layer. The greater the change between the morning and afternoon mixing depths, the greater the ability of the atmosphere to disperse pollutants.
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Throughout the year, the height of the temperature inversion in the afternoon varies between approximately 1,500 and 2,500 feet above mean sea level. In winter, the morning inversion layer is about 800 feet above mean sea level. In summer, the morning inversion layer is about 1,100 feet above mean sea level. Therefore, air quality generally tends to be better in the winter than in the summer.

The prevailing westerly wind pattern is sometimes interrupted by regional “Santa Ana” conditions. A Santa Ana occurs when a strong high pressure develops over the Nevada-Utah area and overcomes the prevailing westerly coastal winds, sending strong, steady, hot, dry northeasterly winds over the mountains and out to sea.

Strong Santa Anas tend to blow pollutants out over the ocean, producing clear days. However, at the onset or during breakdown of these conditions, or if the Santa Ana is weak, local air quality may be adversely affected. In these cases, emissions from the South Coast Air Basin to the north are blown out over the ocean, and low pressure over Baja California draws this pollutant -laden air mass southward. As the high pressure weakens, prevailing northwesterly winds reassert themselves and send this cloud of contamination ashore in the SDAB. When this event does occur, the combination of transported and locally produced contaminants produce the worst air quality measurements recorded in the basin.

4.3 Existing Air Quality
Air quality at a particular location is a function of the kinds, amounts, and dispersal rates of pollutants being emitted into the air locally and throughout the basin. The major factors affecting pollutant dispersion are wind speed and direction, the vert ical dispersion of pollutants (which is affected by inversions), and the local topography.

Air quality is commonly expressed as the number of days in which air pollution levels exceed state standards set by the CARB or federal standards set by the U.S. EPA. The SDAPCD currently maintains nine air quality monitoring stations located throughout the greater San Diego metropolitan region.

Air pollutant concentrations and meteorological information are continuously recorded at these stations. Measurements are then used by scientists to help forecast daily air pollution levels.

The Camp Pendleton monitoring station, located at 21441 West B Street , approximately 12 miles northwest of the project site, is the nearest station to the project site. The Camp Pendleton monitoring station measures ozone (O
3), nitrogen dioxide ( NO2), and PM 2.5. The closest station of the project site that has more complete PM2.5 data is the San Diego –Kearny Villa Road monitoring station located at 6125A Kearny Villa Road, approximately 22 miles south of the project site. The San Diego–Kearny Villa Road monitoring station measures ozone, NO 2, and PM 2.5. Table 2 provides a summary of measurements collected at the Camp Pendleton and Kearny Villa Road monitoring station for the years 2020 through 2024, which is the most recent available data. 1209
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Table 2
Summary of Air Quality Measurements Recorded at the Camp Pendleton and Kearny Villa Road Monitoring Stations Pollutant/Standard 2020 2021 2022 2023 2024

CAMP PENDLETON MONITORING STATION
Ozone
Federal Max 8-hr (ppm) 0.074 0.059 0.067 0.077 0.065
Days 2015 Federal 8-hour Standard Exceeded (0.07 ppm) 3 0 0 1 0 Days 2008 Federal 8-hour Standard Exceeded (0.075 ppm) 0 0 0 1 0 State Max 8-hr (ppm) 0.074 0.059 0.067 0.077 0.065
Days State 8-hour Standard Exceeded (0.07 ppm) 3 0 0 1 0 Max. 1-hour (ppm) 0.094 0.074 0.076 0.090 0.074
Days State 1-hour Standard Exceeded (0.09 ppm) 0 0 0 0 0 Nitrogen Dioxide
Max 1-hour (ppm) 0.058 0.059 0.0504 0.0632 0.0454
Days State 1-hour Standard Exceeded (0.18 ppm) 0 0 0 0 0 Days Federal 1-hour Standard Exceeded (0.100 ppb) 0 0 0 0 0 Annual Average (ppm) 0.006 -- 0.005 0.005 0.004
PM2.5*
Federal Max. Daily (µg/m3) -- -- 17.0 26.5 25.8
Measured Days Federal 24-hour Standard Exceeded (35 µg/m3) -- -- 0 0 0 Calculated Days Federal 24-hour Standard Exceeded (35 µg/m3) -- -- -- 0.0 0.0 Federal Annual Average (µg/m3) -- -- -- 7.8 7.6
State Max. Daily (µg/m3) 61.1 20.7 17.7 -- --
State Annual Average (µg/m3) 9.5 -- -- -- --
SAN DIEGO – KEARNY VILLA ROAD MONITORING STATION
Ozone
Federal Max 8-hr (ppm) 0.102 0.071 0.083 0.079 0.080
Days 2015 Federal 8-hour Standard Exceeded (0.07 ppm) 10 1 2 3 3 Days 2008 Federal 8-hour Standard Exceeded (0.075 ppm) 6 0 1 1 1 State Max 8-hr (ppm) 0.102 0.072 0.083 0.080 0.081
Days State 8-hour Standard Exceeded (0.07 ppm) 12 2 2 3 3 Max. 1-hour (ppm) 0.123 0.095 0.095 0.091 0.112
Days State 1-hour Standard Exceeded (0.09 ppm) 2 1 1 0 2 Nitrogen Dioxide
Max 1-hour (ppm) 0.052 0.060 0.0512 0.0384 0.0421
Days State 1-hour Standard Exceeded (0.18 ppm) 0 0 0 0 0 Days Federal 1-hour Standard Exceeded (0.100 ppb) 0 0 0 0 0 Annual Average (ppm) 0.007 0.007 0.008 0.006 0.005
PM2.5*
Federal Max. Daily (µg/m3) 57.5 20.9 13.9 24.5 21.1
Measured Days Federal 24-hour Standard Exceeded (35 µg/m3) 2 0 0 0 0 Calculated Days Federal 24-hour Standard Exceeded (35 µg/m3) 5.8 0.0 0.0 0.0 0.0 Federal Annual Average (µg/m3) 8.7 7.6 6.8 7.0 8.0
State Max. Daily (µg/m3) -- -- -- -- --
State Annual Average (µg/m3) -- -- -- -- --
SOURCE: CARB 2025.
ppm = parts per million; µg/m3 = micrograms per cubic meter; -- = Not available. * Calculated days value. Calculated days are the estimated number of days that a measurement would have been greater than the level of the standard had measurements been collected every day. The number of days above the standard is not necessarily the number of violations of the standard for the year.

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4.3.1 Ozone
Nitrogen oxides (NO X) and hydrocarbons (reactive organic gases [ROG]) are known as the chief “precursors” of ozone. These compounds react in the presence of sunlight to produce ozone, which is the primary air pollution problem in the SDAB. Because sunlight plays such an important role in its formation, ozone pollution—or smog—is mainly a concern during the daytime in summer months.

The SDAB is currently designated a federal and state non-attainment area for ozone. During the past three decades, San Diego had experienced a decline in the number of days with unhealthy levels of ozone despite the region’s growth in population and vehicle miles traveled (SDAPCD 2022).

About half of smog-forming emissions come from automobiles. Population growth in San Diego has resulted in a large increase in the number of automobiles expelling ozone-forming pollutants while operating on area roadways. In addition, the occasional transp ort of smog-filled air from the South Coast Air Basin only adds to the SDAB’s ozone problem. Stricter automobile emission controls, including more efficient automobile engines, have played a large role in why ozone levels have steadily decreased.

The adverse health effects associated with exposure to ozone pertain primarily to the respiratory system. Scientific evidence indicates that ambient levels of ozone affect not only sensitive receptors, such as asthma sufferers and children, but healthy adults as well. Exposure to ozone has been found to significantly alter lung functions by increasing respiratory rates and pulmonary resistance, decreasing tidal volumes (the amount of air inhaled and exhaled), and impairing respiratory mechanics. Symptomatic responses include throat dryness, chest tightness, headache, and nausea.

4.3.2 Carbon Monoxide
The SDAB is classified as a state attainment area and as a federal maintenance area for CO. Until 2003, no violations of the state standard for CO had been recorded in the SDAB since 1991, and no violations of the national standard had been recorded in the SDAB since 1989. The violations that took place in 2003 were likely the result of massive wildfires that occurred throughout the county.

No violations of the state or federal CO standards have occurred since 2003.

Small-scale, localized concentrations of CO above the state and national standards have the potential to occur at intersections with stagnation points such as those that occur on major highways and heavily traveled and congested roadways. Localized high co ncentrations of CO are referred to as “CO hot spots” and are a concern at congested intersections, where automobile engines burn fuel less efficiently and their exhaust contains more CO.

Adverse health effects associated with high concentrations of CO include the reduction of t he oxygen-carrying capacity of the blood, which can cause headaches, nausea, dizziness, and fatigue; impair central nervous system function; and induce angina (chest pain) in persons with serious heart disease. CO exposure is especially harmful to individuals who suffer from cardiovascular and respiratory diseases. Very high levels of CO can be fatal. 1211
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4.3.3 Nitrogen Dioxide
Nitrogen dioxide is a brownish, highly reactive gas that is present in all urban environments. The major human -made sources of NO 2 are combustion devices, such as boilers, gas turbines, and mobile and stationary reciprocating internal combustion engines. The national and state standards for NO2 are being met in the SDAB . Inhalation is the most common route of exposure to NO 2.

Because NO 2 has relatively low solubility in water, the principal site of toxicity is in the lower respiratory tract. The severity of the adverse health effects depends primarily on the concentration inhaled rather than the duration of exposure. An individual may experience a variety of acute symptoms, including coughing, difficulty with breathing, vomiting, headache, and eye irritation during or shortly after exposure. After a period of approximately 4 to 12 hours, an exposed individual may experience chemical pneumonitis or pulmonary edema with breathing abnormalities, cough, cyanosis, chest pain, and rapid heartbeat.

4.3.4 Sulfur Dioxide
Sulfur dioxide is a combustion product, with the primary source being power plants and heavy industries that use coal or oil as fuel. SO
2 is also a product of diesel engine combustion. The national and state standards for SO2 are being met in the SDAB. The health effects of SO2 include lung disease and breathing problems for people with asthma. SO2 in the atmosphere contributes to the formation of acid rain.

4.3.5 Particulate Matter
Particulate matter is a complex mixture of microscopic solid or liquid particles including chemicals, soot, and dust. Anthropogenic sources of direct particulate emissions include crushing or grinding operations, dust stirred up by vehicle traffic, and combustion sources such as motor vehicles, power plants, wood burning, forest fires, agricultural burning and industrial processes. Additionally, indirect emissions may be formed when aerosols react with compounds found in the atmosphere.

Health studies have shown a significant association between exposure to particulate matter and premature death in people with heart or lung diseases. Other important effects include aggravation of respiratory and cardiovascular disease, lung disease, decreased lung function, asthma attacks, and certain cardiovascular problems such as heart attacks and irregular heartbeat (U.S. EPA 2025).

As its properties vary based on the size of suspended particles, particulate matter is generally categorized as PM10 or PM2.5.

4.3.5.1 PM10
PM10, occasionally referred to as “inhalable coarse particles,” has an aerodynamic diameter of about one-seventh of the diameter of a human hair. High concentrations of PM 10 are often found near roadways, construction, mining, or agricultural operations. 1212
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4.3.5.2 PM2.5
PM2.5, occasionally referred to as “inhalable fine particles ,” has an aerodynamic diameter of about one-thirtieth of the diameter of a human hair. PM 2.5 is the main cause of haze in many parts of the United States. Federal standards applicable to PM2.5 were first adopted in 1997.

4.3.6 Lead
Lead is a metal found naturally in the environment as well as in manufactured products. At high levels of exposure, lead can have detrimental effects on the central nervous system. The major sources of lead emissions have historically been mobile and indus trial sources. As a result of the phase out of leaded gasoline, metal processing is currently the primary source of lead emissions. The previous standards for lead are being met in the SDAB.

4.3.7 Other Criteria Pollutants
The SDAB is in attainment of the state standards for vinyl chloride, hydrogen sulfide, sulfates, and visibility-reducing particulates.

5.0 Thresholds of Significance
Thresholds used to evaluate potential impacts to air quality are based on applicable criteria in the CEQA Guidelines Appendix G. The project would have a significant air quality impact if it would:

1. Obstruct or conflict with the implementation of the RAQS.

2. Result in a cumulatively considerable net increase of any criteria pollutant for which the project region is non-attainment under an applicable federal or state ambient air quality standard.

3. Expose sensitive receptors to substantial pollutant concentrations.

4. Result in other emissions such as those leading to odors adversely affecting a substantial number of people.

The City has not adopted air quality significance thresholds. The SDAPCD also does not provide specific numeric thresholds for determining the significance of air quality impacts under CEQA.

However, the SDAPCD does specify Air Quality Impact Analysis trigger levels for new or modified stationary sources (SDAPCD Rules 20.1, 20.2, and 20.3). The SDAPCD does not consider these trigger levels to represent adverse air quality impacts, rather, if these trigger levels are exceeded by a project, the SDAPCD require s an air quality analysis to determine if a significant air quality impact would occur. While, these trigger levels do not generally apply to mobile sources or general land development projects, for comparative purposes these levels are used to evaluate th e increased emissions that would be discharged to the SDAB if the project were approved. The air quality impact screening levels used in this analysis are shown in Table 3. 1213
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Table 3
Air Quality Impact Screening Levels
Pollutant
Emission Rate
Pounds/Hour Pounds/Day Tons/Year
NOX 25 250 40
SOX 25 250 40
CO 100 550 100
PM10 -- 100 15
Lead -- 3.2 0.6
VOC, ROG1 -- 250 --
PM2.5 -- 67 10
SOURCE: SDAPCD, Rules 20.1, 20.2, 20.3.
1ROG threshold based on federal General Conformity de minimus levels for ozone precursors.

6.0 Air Quality Assessment
Construction impacts are short term and result from fugitive dust, equipment exhaust, and indirect effects associated with construction workers and deliveries. Operational impacts can occur on two levels: regional or local. In the case of this project, operational impacts are primarily due to emissions from mobile sources associated with vehicular travel along the roadways within the project area.

Construction and operation air emissions were calculated using California Emissions Estimator Model (CalEEMod) 2022.1.33 (California Air Pollution Control Officers Association 2022). The CalEEMod program is a tool used to estimate air emissions resulting from land development projects based on California-specific emission factors. The model estimates mass emissions from two basics sources: construction sources and operational sources (i.e., area, energy, and mobile sources).

Inputs to CalEEMod include such items as the air basin containing the project, land uses, trip generation rates, trip lengths, vehicle fleet mix ( i.e., percentage of autos, medium truck, etc.), trip destination (i.e., percent of trips from home to work, etc.), duration of construction phases, construction equipment usage, grading areas, season, and ambient temperature, as well as other parameters. The CalEEMod output files contained in Attachment 1 indicate the specific outputs for each model run. Emissions of NOX, CO, SOX, PM10, PM2.5, and ROG are calculated. Emission factors are not available for lead, and consequently, lead emissions are not calculated. The SDAB is currently in attainment of the federal and state lead standards. Furthermore, fuel used in construction equipment and most other vehicles is not leaded.

6.1 Construction Emissions
Construction-related activities are temporary, short -term sources of air emissions. Sources of construction-related air emissions include the following:
• fugitive dust from grading activities;
• construction equipment exhaust;
• construction-related trips by workers, delivery trucks, and material-hauling trucks; and • construction-related power consumption.
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Construction-related pollutants result from dust raised during grading, emissions from construction vehicles, and chemicals used during construction. Fugitive dust emissions vary greatly during construction and are dependent on the amount and type of activ ity, silt content of the soil, and the weather. Vehicles moving over paved and unpaved surfaces, demolition, excavation, earth movement, grading, and wind erosion from exposed surfaces are all sources of fugitive dust.

Construction operations are subject t o the requirements established in Regulation 4, Rules 52, 54, and 55 of the SDAPCD’s rules and regulations.

Heavy-duty construction equipment is usually diesel powered. In general, emissions from dieselpowered equipment contain more NO X, SOX, and particulate matter than gasoline -powered engines. However, diesel-powered engines generally produce less CO and less ROG than gasoline-powered engines. Standard construction equipment includes tractors/loaders/backhoes, rubber-tired dozers, excavators, graders, cranes, forklifts, rollers, paving equipment, generator sets, welders, cement and mortar mixers, and air compressors.

Primary inputs are the numbers of each piece of equipment and the length of each construction stage. Specific construction phasing and equipment parameters are not available at this time.

However, CalEEMod can estimate the required construction equipment when project -specific information is unavailable. The estimates are based on surveys , performed by the South Coast Air Quality Management District and the Sacramento Metropolitan Air Quality Management District, of typical construction projects which provide a basis for scaling equipment needs and schedule with a project’s size. Air emission estimates in CalEEMod are based on the duration of construction phases; construction equipment type, quantity, and usage; grading area; season; and ambient temperature, among other parameters. Construction emissions were modeled assuming construction would begin in January 2026 and last for approximately one year. This is based on CalEEMod default construction duration for all phases except for grading, which is anticipat ed to last for one month . Assuming construction would begin in January 2026 is conservative, as continued implementation of regulations for off -road equipment, the primary construction emission source, would reduce emissions from these sources over time. Project grading would include 23,300 cubic yards of cut and 3,200 cubic yards of fill resulting in the export of 20,100 cubic yards of soil.

Table 4 shows the total projected construction maximum daily emission levels for each criteria pollutant. The CalEEMod output files for construction emissions are contained in Attachment 1.

Table 4
Summary of Maximum Construction Emissions
(pounds per day)
Construction
Pollutant
ROG NOX CO SOX PM10 PM2.5
Site Preparation 1 10 11 <1 1 <1
Grading 2 23 18 <1 6 3
Building Construction 1 10 13 <1 1 <1
Paving 1 6 9 <1 <1 <1
Architectural Coatings 63 1 1 <1 <1 <1
Maximum Daily Emissions 63 23 18 <1 6 3
Significance Threshold 250 250 550 250 100 67

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Standard dust control measures would be implemented as a part of project construction in accordance with SDAPCD rules and regulations. Fugitive dust emissions were calculated using CalEEMod default values and did not take into account the required dust con trol measures. Thus, the emissions shown in Table 4 are conservative.

For assessing the significance of the air quality emissions resulting during construction of the project, the construction emissions were compared to the screening thresholds shown in Table 4. As shown in Table 4, maximum daily construction emissions associated with the project are projected to be less than the applicable thresholds for all criteria pollutants. Construction related air quality impacts would be less than significant.

6.2 Operation Emissions
Mobile source emissions would originate from traffic generated by the project. Energy source emissions result from the combustion of natural gas. Area source emissions would result from the use of consumer products, architectural coatings, and landscaping activities.

6.2.1 Mobile Source Emissions
Mobile source operational emissions are based on the trip rate and trip length. The project would generate eight trips per unit for a total of 368 average daily trips ( Linscott, Law and Greenspan , Engineers 2026). Default trip distances and default vehicle emission factors for the soonest operational year of 2027 were used.

6.2.2 Energy Source Emissions
Energy sources of emissions include natural gas used in space and water heating. Emissions are generated from the combustion of natural gas used in space and water heating. Emissions are based on the Residential Appliance Saturation Survey which is a comprehensive energy u se assessment that includes the end use for various climate zones in California. As required by the County’s Climate Action Plan, the project would not include natural gas appliances. Energy-source emissions were modeled using CalEEMod default assumptions.

6.2.3 Area Source Emissions
Area source emissions associated with the project include consumer products, architectural coatings, and landscaping equipment. Hearths (fireplaces) and woodstoves are also a source of area emissions; however, the project would not include hearths or woods toves. Consumer products are chemically formulated products used by household and institutional consumers, including, but not limited to, detergents, cleaning compounds, polishes, floor finishes, disinfectants, sanitizers, and aerosol paints but not including other paint products, furniture coatings, or architectural coatings. Emissions due to consumer products are calculated using total building area and product emission factors.

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coating emission factors, and a reapplication rate of 10 percent of area per year. Landscaping maintenance includes fuel combustion emission from equipment such as lawn mowers, rototillers, shredders/grinders, blowers, trimmers, chain saws, and hedge trimmers as well as air compressors, generators, and pumps. Emission calculations take into account building area, equipment emission factors, and the number of operational days (summer days).

6.2.4 Total Operational Emissions
Table 5 provides a summary of the operational emissions generated by the project. CalEEMod output files for project operation are contained in Attachment 1. As shown, project-generated emissions are projected to be less than the screening level thresholds for all criteria pollutants.

Table 5
Summary of Project Operational Emissions
(pounds per day)
Source
Pollutant
ROG NOX CO SOX PM10 PM2.5
Mobile Sources 1 1 9 <1 2 <1
Area Sources 3 <1 3 <1 <1 <1
Energy Sources <1 <1 <1 <1 <1 <1
Total 4 1 11 <1 2 <1
Significance Threshold 250 250 550 250 100 67
NOTE: Totals may vary due to independent rounding.

6.3 Impact Analysis

1. Would the project obstruct or conflict with the implementation of the San Diego RAQS? The RAQS is the applicable regional air quality plan that sets forth the SDAPCD’s strategies for achieving the NAAQS and CAAQS. The SDAB is designated non-attainment for the federal and state ozone standards. Accordingly, the RAQS was developed to identify feasible emission control measures and provide expeditious progress toward attaining the standards for ozone. The two pollutants addressed in the RAQS are ROG and NO
X, which are precursors to the formation of ozone.

Projected increases in motor vehicle usage, population, and growth create challenges in controlling emissions and by extension to maintaining and improving air quality. The RAQS was most recently updated in 2022.

The growth projections used by the SDAPCD to develop the RAQS emissions budgets are based on the population, vehicle trends, and land use plans developed in general plans and used by SANDAG in the development of the regional transportation plans and sustainable communities strategy. As such, projects that propose development that is consistent with the growth anticipated by SANDAG’s growth projections and/or the general plan would not conflict with the RAQS. In the event that a project would propose development that is less dense than anticipated by the growth projections, the project would likewise be consistent with the RAQS. In the event a project proposes development that is greater than anticipated in the growth projections, further analysis would be wa rranted to 1217
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determine if the project would exceed the growth projections used in the RAQS for the specific subregional area.

As discussed in Section 2.0, the approved project included a GPA to change the land uses of APNs 217-161-18 and 217-161 -19 from Commercial (C) and Light Industrial (L-I) to Medium Density Residential 2 (MDR2). The approved MND found that even with this GPA, the approved project would not conflict with implementation of the 2016 RAQS. The 2022 RAQS was adopted in March 2023 after approval of the MND; therefore, the land uses considered in the 2022 RAQS are Commercial (C) and Light Industrial (L-I). As analyz ed in the MND, these land use designations would allow for the construction of approximately 38,000 square feet of light industrial development and 24,000 square feet of commercial development based on the floor area ratios established in Title 20–Zoning of the City’s Municipal Code. Additionally, the project also includes 0.37 acres of APN 217-161-1700 which would be redesignated from Commercial (C) to Medium High Density Residential (MHDR).

The additional parcel is currently developed with a 2,200-square-foot liquor store that would remain in operation.

In order to determine if emissions associated with the project are accounted for in the growth projections assumed in the 2022 RAQS, emissions due to operation of a project consistent with the land use and zoning designations assumed in the 2022 RAQS (prio r to MND adoption) were calculated and compared to emissions associated with operation of the project. Emissions were calculated for 38,000 square feet of light industrial development, 24,000 square feet of commercial development, and the existing 2,200 square foot convenience market. Emissions were modeled using the CalEEMod default trip generations rates. Table 6 summarizes the emissions associated with industrial, commercial, and convenience market land uses along with the emissions associated with the project. The CalEEMod output files for the project are contained in Attachment 1, and the CalEEMod output files for the industrial and commercial project are contained in Attachment 2.

Table 6
Commercial and Industrial Land Use Operational Emissions (pounds per day)
Source
Pollutant
ROG NOX CO SOX PM10 PM2.5

PROJECT EMISSIONS
Mobile Sources 1 1 9 <1 2 <1
Area Sources 3 <1 3 <1 <1 <1
Energy Sources <1 <1 <1 <1 <1 <1
Total 4 1 11 <1 2 <1

INDUSTRIAL, COMMERCIAL, AND CONVENIENCE MARKET EMISSIONS Mobile Sources 14 11 106 <1 23 6
Area Sources 2 <1 3 <1 <1 <1
Energy Sources <1 <1 <1 <1 <1 <1
Total 16 11 109 <1 23 6
NOTE: Totals may vary due to independent rounding.

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in the 2022 RAQS . Therefore, the project would not result in an increase in emissions that are not already accounted for in the 2022 RAQS.

Additionally, shown in Tables 4 and 5, project emissions would not exceed the screening level thresholds. Therefore, the project would not result in an increase in emissions that are not already accounted for in the RAQS. The project would not obstruct or conflict with implementation of the RAQS, and impacts would be less than significant.

2. Would the project result in a cumulatively considerable net increase of any criteria pollutant for which the project region is non-attainment under an applicable federal or state ambient air quality standard?
The region is classified as an attainment area for all criterion pollutants except ozone, PM 10, and PM2.5. The SDAB is a non-attainment area for the 8-hour federal and state ozone standards. Ozone is not emitted directly, but is a result of atmospheric activity on precursors. NOX and ROG are known as the chief “precursors” of ozone. These compounds react in the presence of sunlight to produce ozone. PM

2.5 includes fine particles that are found in smoke and haze and are emitted from all types of combustion a ctivities (motor vehicles, power plants, wood burning, etc.) and certain industrial processes. PM10 includes both fine and coarse dust particles, and sources include crushing or grinding operations and dust from paved or unpaved roads.

As shown in Table 4, project construction would not exceed the applicable regional emissions thresholds. These thresholds are designed to provide limits below which project emissions would not significantly change regional air quality. Therefore, as project construction emissions would be below these limits, project construction would not result in a cumulatively considerable net increase in emissions of ozone, PM
10, or PM2.5, and impacts would be less than significant.

Long-term emissions of regional air pollutants occur from operational sources. As shown in Table 5, project operation would not exceed the applicable regional emissions thresholds. Therefore, as operational emissions would be below these limits, the project would not result in a cumulatively considerable net increase in emissions of ozone, PM 10, or PM 2.5, and impacts would be less than significant.

3. Would the project expose sensitive receptors to substantial pollutant concentrations? Sensitive land uses include schools and schoolyards, parks and playgrounds, daycare centers, nursing homes, hospitals, and residential communities. The nearest sensitive receptors are the residential uses located 300 feet to the northeast, 100 feet to the southeast, 160 feet to the south, and 115 feet to the southwest.

Carbon Monoxide Hot Spots
Localized CO concentration is a direct function of motor vehicle activity at signalized intersections (e.g., idling time and traffic flow conditions), particularly during peak commute hours and meteorological conditions. The SDAB is a CO maintenance area u nder the federal CAA. This means that SDAB was previously a non-attainment area and is currently implementing a 10 -year plan for continuing to meet and maintain air quality standards.
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Due to increased requirements for cleaner vehicles, equipment, and fuels, CO levels in the state have dropped substantially. All air basins are attainment or maintenance areas for CO. Therefore, more recent screening procedures based on more current methodologies have been developed. The Bay Area Air Quality Management District developed a screening threshold in their 2022 CEQA Guidelines (Bay Area Air Quality Management District 2022). These screening criteria are considered applicable in the SDAB because the San Francisco Bay Air Basin and the SDAB have the same CO maintenance designations, and the vehicle classifications in the regions are similar. If the following screening criteria are met, operation of a project would result in less than significant impacts related to CO:
• The project is consistent with an applicable congestion management program established by the County of San Diego congestion management agency for designated roads or highways, the regional transportation plan, and local congestion management agency plans.
• Project-generated traffic would not increase traffic volumes at affected intersections to more than 44,000 vehicles per hour.
• Project-generated traffic would not increase traffic volumes at affected intersections to more than 24,000 vehicles per hour where vertical and/or horizontal mixing is substantially limited (e.g., tunnel, parking garage, bridge underpass, natural or urban street canyon, below-grade roadway).

As discussed, the project would generate 368 daily trips. Based on the Local Transportation Analysis (Linscott, Law and Greenspan, Engineers 2026), peak hour turning volumes at the study area intersections would be well less than 44,000 vehicles per hour. Additionally, all signalized intersections are projected to operate at an acceptable level of service . Therefore, the project is not anticipated to result in a CO hot spot.

Diesel Particulate Matter – Construction
Construction of the project and associated infrastructure would result in short -term diesel exhaust emissions from on -site heavy -duty equipment. Construction of the project would result in the generation of diesel-exhaust DPM emissions from the use of off-road diesel equipment required for site grading and excavation, paving, and other construction activities and on-road diesel equipment used to bring materials to and from the project site.

Generation of DPM from construction projects typically occurs in a single area for a short period.

Construction is anticipated to last for approximately one year . The dose to which the receptors are exposed is the primary factor used to determine health risk. Dose is a function of the concentration of a substance or substances in the environment and the extent of exposure that person has with the substance. Dose is positively correlated with time, meaning that a longer exposure period would result in a high er exposure level for the Maximally Exposed Individual. The risks estimated for a Maximally Exposed Individual are higher if a fixed exposure occurs over a longer period of time.

According to the Office of Environmental Health Hazard Assessment, health risk assessments, which determine the exposure of sensitive receptors to toxic emissions, should be based on a 30 -year exposure period; however, such assessments should be limited to the period/duration of activities 1220
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associated with the project ( Office of Environmental Health Hazard Assessment 2015). Thus, if the duration of proposed construction activities near any specific sensitive receptor were one year, the exposure would be 3 percent of the total 30-year exposure period used for health risk calculation.

Further, the project would implement construction best management practices and would be conducted in accordance with CARB regulations. Specifically, the project would implement the following Best Available Control Technology for Toxics measures during construction:
• The construction fleet shall use any combination of diesel catalytic converters, diesel oxidation catalysts, diesel particulate filters and/or utilize CARB/U.S. EPA Engine Certification Tier 3 or better, or other equivalent methods approved by the CARB. • The engine size of construction equipment shall be the minimum size suitable for the required job.
• Construction equipment shall be properly tuned and maintained in accordance with the manufacturer’s specifications.
• Per CARB’s Airborne Toxic Control Measures 13 (California Code of Regulations Chapter 10 Section 2485), the applicant shall not allow idling time to exceed 5 minutes unless more time is required per engine manufacturers’ specifications or for safety reasons.

Therefore, DPM generated by project construction is not expected to create conditions where the probability is greater than 10 in 1 million of contracting cancer for the Maximally Exposed Individual or to generate ground-level concentrations of noncarcinog enic TACs that exceed a Hazard Index greater than 1 for the Maximally Exposed Individual. Additionally, with ongoing implementation of U.S. EPA and CARB requirements for cleaner fuels; off -road diesel engine retrofits; and new, low-emission diesel engine types, the DPM emissions of individual equipment would be substantially reduced. Therefore, project construction would not expose sensitive receptors to substantial pollutant concentration.

Stationary Sources
CARB provides guidance on siting land uses near major emitters or facilities of concern. These facilities include distribution centers, chrome platers, dry cleaners using perchloroethylene, and large gas stations. CARB siting constraints are summarized in Table 7.

The project would not include any of the sources included in Table 7. The project would not construct a stationary source of toxic emissions.
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Table 7
CARB Land Use Siting Constraints
Source Category
Recommended Buffer Distances
(feet)
Distribution centers
(that accommodate more than 100 trucks per day, more than 40 trucks with operating transport refrigeration units per day, or where transport refrigeration unit operations exceed 300 hours per week) 1,000
Chrome platers 1,000
Dry cleaners using perchloroethylene (1 machine) 300
Dry cleaners using perchloroethylene (2 machines) 500
Dry cleaners using perchloroethylene (3 or more machines) Requires consultation with APCD Large gas station (3.6 million gallons or more per year) 300 Other gas stations 50
SOURCE: CARB 2005.

4. Would the project result in other emissions such as those leading to odors adversely affecting a substantial number of people?
The project does not include heavy industrial or agricultural uses that are typically associated with odor complaints. During construction, diesel equipment may generate some nuisance odors.

However, exposure to odors associated with project construction would be short term and temporary in nature. Impacts associated with odors would be less than significant.

7.0 Conclusions
The primary goal of the RAQS is to reduce ozone precursor emissions. The project would require a GPA to Medium High Density Residential (MHDR) ; however, as calculated in this analysis, project emissions would be less than operational emissions associated with an industrial, commercial, and convenience market project that is consistent with the land use assumptions used in the 2022 RAQS.

As shown in Table 4, project construction emissions would not exceed the applicable regional emissions thresholds. These thresholds are designed to provide limits below which project emissions would not significantly change regional air quality. Therefore, as project construction emissions would be below these limits, project construction would not result in a cumulatively considerable net increase in emissions of ozone, PM
10, or PM 2.5, and impacts would be less than significant.

Additionally, construction emissions would be temporary, intermittent, and would cease at the end of project construction.

Long-term emissions of regional air pollutants occur from operational sources. As shown in Table 5, project operational emissions would not exceed the applicable regional emissions thresholds.

Therefore, as project operational emissions would be below these limits, project operation would not 1222
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result in a cumulatively considerable net increase in emissions of ozone, PM10, or PM2.5, and impacts would be less than significant.

Construction of the project and associated infrastructure would result in short -term diesel exhaust emissions from on-site heavy-duty equipment. However, given the temporary nature of construction activities and implementation of Best Available Control Technology for Toxics measures, the project would not result in the exposure of sensitive receptors to substantial pollutant concentrations during construction.

The project does not include heavy industrial or agricultural uses that are typically associated with objectionable odors. The project would involve the use of diesel-powered construction equipment.

Diesel exhaust may be noticeable temporarily at adjacent properties; however, construction activities would be temporary. Therefore, odor impacts would be less than significant.

8.0 References Cited
Bay Area Air Quality Management District
2022 California Environmental Quality Act Air Quality Guidelines.

California Air Pollution Control Officers Association
2022 California Emissions Estimator model (CalEEMod). User’s Guide Version 2022.1.

California Air Resources Board (CARB)
2000 Risk Reduction Plan to Reduce Particulate Matter Emissions from Diesel- Fueled Engines and Vehicles. California Air Resources Board. Stationary Source Division, Mobile Source Control Division. October.

2004 2004 Revisions to the California State Implementation Plan for Carbon Monoxide. Updated Maintenance Plan for Ten Federal Planning Areas. Adopted July 22, 2004.

2005 Air Quality and Land Use Handbook: A Community Health Perspective. California Air Resources Board. April.

2017 Technical Advisory: Strategies to Reduce Air Pollution Exposure Near High -Volume Roadways. April 2017.

2024 Ambient Air Quality Standards. California Air Resources Board. Updated July 16, 2024.

2025 California Air Quality Data Statistics. Top 4 Summary and Hourly Listing. http://www.arb.ca.gov/adam/welcome.html. Accessed on November 20, 2025.

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Linscott, Law and Greenspan, Engineers, Inc.
2026 Local Transportation Analysis for the Santa Fe Flores Project. LLG Ref. 3-24-3940. January.

National Oceanic and Atmospheric Administration
2024 Climate Database – SC ACIS Version 2. http://scacis.rcc -acis.org/. Updated October 10, 2024.

Office of Environmental Health Hazard Assessment
2015 Air Toxics Hot Spots Program Guidance Manual for the Preparation of Risk Assessments (Guidance Manual), February.

San Diego Air Pollution Control District (SDAPCD)
1992 1991/1992 Regional Air Quality Strategies. Air Pollution Control District. June.

2012 Redesignation Request and Maintenance Plan for the 1997 National Ozone Standard for San Diego County. Adopted December 5, 2012.

2020 2020 Plan for Attaining the National Ambient Air Quality Standard for Ozone in San Diego County. October 2020.

2022 2022 Regional Air Quality Strategy.

U.S. Environmental Protection Agency (U.S. EPA)
2025 Criteria Air Pollutants, Particulate Matter (PM) Pollution. https://www.epa.gov/pm- pollution. Accessed March 26, 2025.

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ATTACHMENTS

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ATTACHMENT 1
CalEEMod Output – Project Emissions

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South Santa Fe Townhomes Detailed Report
Table of Contents

1. Basic Project Information

1.1. Basic Project Information

1.2. Land Use Types

1.3. User-Selected Emission Reduction Measures by Emissions Sector

2. Emissions Summary

2.1. Construction Emissions Compared Against Thresholds

2.2. Construction Emissions by Y ear, Unmitigated

2.4. Operations Emissions Compared Against Thresholds

2.5. Operations Emissions by Sector, Unmitigated

3. Construction Emissions Details

3.1. Site Preparation (2026) - Unmitigated

3.3. Grading (2026) - Unmitigated

3.5. Building Construction (2026) - Unmitigated

3.7. Paving (2026) - Unmitigated

3.9. Architectural Coating (2026) - Unmitigated
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3.11. Architectural Coating (2027) - Unmitigated

4. Operations Emissions Details

4.1. Mobile Emissions by Land Use

4.1.1. Unmitigated

4.2. Energy

4.2.1. Electricity Emissions By Land Use - Unmitigated

4.2.3. Natural Gas Emissions By Land Use - Unmitigated

4.3. Area Emissions by Source

4.3.1. Unmitigated

4.4. Water Emissions by Land Use

4.4.1. Unmitigated

4.5. Waste Emissions by Land Use

4.5.1. Unmitigated

4.6. Refrigerant Emissions by Land Use

4.6.1. Unmitigated

4.7. Offroad Emissions By Equipment Type

4.7.1. Unmitigated

4.8. Stationary Emissions By Equipment Type
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4.8.1. Unmitigated

4.9. User Defined Emissions By Equipment Type

4.9.1. Unmitigated

4.10. Soil Carbon Accumulation By Vegetation Type

4.10.1. Soil Carbon Accumulation By Vegetation Type - Unmitigated

4.10.2. Above and Belowground Carbon Accumulation by Land Use Type - Unmitigated

4.10.3. Avoided and Sequestered Emissions by Species - Unmitigated

5. Activity Data

5.1. Construction Schedule

5.2. Off-Road Equipment

5.2.1. Unmitigated

5.3. Construction Vehicles

5.3.1. Unmitigated

5.4. Vehicles

5.4.1. Construction Vehicle Control Strategies

5.5. Architectural Coatings

5.6. Dust Mitigation

5.6.1. Construction Earthmoving Activities
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5.6.2. Construction Earthmoving Control Strategies

5.7. Construction Paving

5.8. Construction Electricity Consumption and Emissions Factors

5.9. Operational Mobile Sources

5.9.1. Unmitigated

5.10. Operational Area Sources

5.10.1. Hearths

5.10.2. Architectural Coatings

5.10.3. Landscape Equipment

5.11. Operational Energy Consumption

5.11.1. Unmitigated

5.12. Operational Water and Wastewater Consumption

5.12.1. Unmitigated

5.13. Operational Waste Generation

5.13.1. Unmitigated

5.14. Operational Refrigeration and Air Conditioning Equipment

5.14.1. Unmitigated

5.15. Operational Off-Road Equipment
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5.15.1. Unmitigated

5.16. Stationary Sources

5.16.1. Emergency Generators and Fire Pumps

5.16.2. Process Boilers

5.17. User Defined

5.18. Vegetation

5.18.1. Land Use Change

5.18.1.1. Unmitigated

5.18.1. Biomass Cover Type

5.18.1.1. Unmitigated

5.18.2. Sequestration

5.18.2.1. Unmitigated

6. Climate Risk Detailed Report

6.1. Climate Risk Summary

6.2. Initial Climate Risk Scores

6.3. Adjusted Climate Risk Scores

6.4. Climate Risk Reduction Measures

7. Health and Equity Details
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7.1. CalEnviroScreen 4.0 Scores

7.2. Healthy Places Index Scores

7.3. Overall Health & Equity Scores

7.4. Health & Equity Measures

7.5. Evaluation Scorecard

7.6. Health & Equity Custom Measures

8. User Changes to Default Data

8.1. Justifications
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1. Basic Project Information

1.1. Basic Project Information
Data Field Value
Project Name South Santa Fe Townhomes
Construction Start Date 1/1/2026
Operational Y ear 2027
Lead Agency City of San Marcos
Land Use Scale Project/site
Analysis Level for Defaults County
Windspeed (m/s) 2.2
Precipitation (days) 19
Location 2982 S Santa Fe Ave, San Marcos, CA 92069, USA County San Diego
City San Marcos
Air District San Diego County APCD
Air Basin San Diego
TAZ 6276
EDFZ 12
Electric Utility San Diego Gas & Electric
Gas Utility San Diego Gas & Electric
App Version 2022.1.1.35

1.2. Land Use Types
Land Use Subtype Size Unit Lot Acreage Building Area (sq ft) Landscape Area (sq ft)
Special Landscape
Area (sq ft)
Population Description
Apartments Mid
Rise
46 Dwelling Unit 2.7 100,000 38,759 — 128 —
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1.3. User-Selected Emission Reduction Measures by Emissions Sector No measures selected

2. Emissions Summary

2.1. Construction Emissions Compared Against Thresholds Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Un/Mit. TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 1.6 1.3 10 13 0.02 0.36 0.31 0.67 0.33 0.07 0.41 — 2,630 2,630 0.11 0.05 1.4 2,647 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 63 63 23 18 0.07 0.72 4.8 5.5 0.62 1.9 2.5 — 9,911 9,911 0.47 1.2 0.41 10,283 Average
Daily
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 1.6 1.4 8.0 9.4 0.02 0.28 0.51 0.79 0.25 0.17 0.42 — 2,290 2,290 0.10 0.11 0.81 2,325 Annual
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 0.30 0.26 1.5 1.7 < 0.005 0.05 0.09 0.14 0.05 0.03 0.08 — 379 379 0.02 0.02 0.13 385 Exceeds
(Daily
Max)
— — — — — — — — — — — — — — — — — —
Threshol
d
— 250 250 550 250 — — 100 — — 67 — — — — — — —
Unmit. — No No No No — — No — — No — — — — — — —
Exceeds
(Average
Daily)
— — — — — — — — — — — — — — — — — —
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———————67——100——250550250250—Threshol
d
Unmit. — No No No No — — No — — No — — — — — — —

2.2. Construction Emissions by Y ear, Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Y ear TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily -
Summer
(Max)
— — — — — — — — — — — — — — — — — —
2026 1.6 1.3 10 13 0.02 0.36 0.31 0.67 0.33 0.07 0.41 — 2,630 2,630 0.11 0.05 1.4 2,647 Daily -
Winter
(Max)
— — — — — — — — — — — — — — — — — —
2026 63 63 23 18 0.07 0.72 4.8 5.5 0.62 1.9 2.5 — 9,911 9,911 0.47 1.2 0.41 10,283 2027 63 63 0.85 1.4 < 0.005 0.02 0.06 0.08 0.02 0.01 0.03 — 191 191 0.01 < 0.005 0.01 192 Average
Daily
— — — — — — — — — — — — — — — — — —
2026 1.6 1.4 8.0 9.4 0.02 0.28 0.51 0.79 0.25 0.17 0.42 — 2,290 2,290 0.10 0.11 0.81 2,325 2027 0.98 0.98 0.01 0.02 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 — 3.0 3.0 < 0.005 < 0.005 < 0.005 3.0 Annual — — — — — — — — — — — — — — — — — —
2026 0.30 0.26 1.5 1.7 < 0.005 0.05 0.09 0.14 0.05 0.03 0.08 — 379 379 0.02 0.02 0.13 385 2027 0.18 0.18 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 — 0.50 0.50 < 0.005 < 0.005 < 0.005 0.50

2.4. Operations Emissions Compared Against Thresholds
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Un/Mit. TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 4.0 3.9 0.93 11 0.02 0.02 1.8 1.8 0.02 0.46 0.48 21 2,212 2,233 2.3 0.09 7.0 2,3241235 South Santa Fe Townhomes Detailed Report, 12/10/2025
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Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 3.8 3.6 0.99 8.3 0.02 0.02 1.8 1.8 0.02 0.46 0.48 21 2,113 2,135 2.3 0.10 0.88 2,221 Average
Daily
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 3.8 3.7 0.94 9.2 0.02 0.02 1.7 1.7 0.02 0.43 0.45 21 2,032 2,054 2.3 0.09 3.3 2,141 Annual
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 0.69 0.67 0.17 1.7 < 0.005 < 0.005 0.31 0.31 < 0.005 0.08 0.08 3.5 336 340 0.38 0.02 0.55 355 Exceeds
(Daily
Max)
— — — — — — — — — — — — — — — — — —
Threshol
d
— 250 250 550 250 — — 100 — — 67 — — — — — — —
Unmit. — No No No No — — No — — No — — — — — — —
Exceeds
(Average
Daily)
— — — — — — — — — — — — — — — — — —
Threshol
d
— 250 250 550 250 — — 100 — — 67 — — — — — — —
Unmit. — No No No No — — No — — No — — — — — — —
Exceeds
(Annual)
— — — — — — — — — — — — — — — — — —
Threshol
d
— — — — — — — — — — — — — — — — — 500
Unmit. — — — — — — — — — — — — — — — — — No

2.5. Operations Emissions by Sector, Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Sector TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e 1236
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——————————————————Daily,
Summer
(Max)
Mobile 1.5 1.4 0.82 8.7 0.02 0.02 1.8 1.8 0.01 0.46 0.47 — 2,079 2,079 0.10 0.08 6.3 2,113 Area 2.6 2.5 0.02 2.6 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 0.00 7.0 7.0 < 0.005 < 0.005 — 7.0 Energy 0.01 < 0.005 0.08 0.03 < 0.005 0.01 — 0.01 0.01 — 0.01 — 124 124 0.02 < 0.005 — 125 Water — — — — — — — — — — — 3.1 1.8 4.9 0.32 0.01 — 15
Waste — — — — — — — — — — — 18 0.00 18 1.8 0.00 — 64
Refrig. — — — — — — — — — — — — — — — — 0.72 0.72
Total 4.0 3.9 0.93 11 0.02 0.02 1.8 1.8 0.02 0.46 0.48 21 2,212 2,233 2.3 0.09 7.0 2,324 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Mobile 1.4 1.3 0.91 8.3 0.02 0.02 1.8 1.8 0.01 0.46 0.47 — 1,988 1,988 0.11 0.09 0.16 2,017 Area 2.3 2.3 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 Energy 0.01 < 0.005 0.08 0.03 < 0.005 0.01 — 0.01 0.01 — 0.01 — 124 124 0.02 < 0.005 — 125 Water — — — — — — — — — — — 3.1 1.8 4.9 0.32 0.01 — 15
Waste — — — — — — — — — — — 18 0.00 18 1.8 0.00 — 64
Refrig. — — — — — — — — — — — — — — — — 0.72 0.72
Total 3.8 3.6 0.99 8.3 0.02 0.02 1.8 1.8 0.02 0.46 0.48 21 2,113 2,135 2.3 0.10 0.88 2,221 Average
Daily
— — — — — — — — — — — — — — — — — —
Mobile 1.3 1.2 0.85 7.8 0.02 0.01 1.7 1.7 0.01 0.43 0.44 — 1,904 1,904 0.10 0.08 2.6 1,933 Area 2.4 2.4 0.01 1.3 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 0.00 3.4 3.4 < 0.005 < 0.005 — 3.5 Energy 0.01 < 0.005 0.08 0.03 < 0.005 0.01 — 0.01 0.01 — 0.01 — 124 124 0.02 < 0.005 — 125 Water — — — — — — — — — — — 3.1 1.8 4.9 0.32 0.01 — 15
Waste — — — — — — — — — — — 18 0.00 18 1.8 0.00 — 64
Refrig. — — — — — — — — — — — — — — — — 0.72 0.72
Total 3.8 3.7 0.94 9.2 0.02 0.02 1.7 1.7 0.02 0.43 0.45 21 2,032 2,054 2.3 0.09 3.3 2,141 Annual — — — — — — — — — — — — — — — — — —
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Mobile 0.25 0.23 0.15 1.4 < 0.005 < 0.005 0.31 0.31 < 0.005 0.08 0.08 — 315 315 0.02 0.01 0.43 320 Area 0.44 0.44 < 0.005 0.24 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 0.00 0.57 0.57 < 0.005 < 0.005 — 0.57 Energy < 0.005 < 0.005 0.02 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 20 20 < 0.005 < 0.005 — 21 Water — — — — — — — — — — — 0.51 0.30 0.81 0.05 < 0.005 — 2.5 Waste — — — — — — — — — — — 3.0 0.00 3.0 0.30 0.00 — 11 Refrig. — — — — — — — — — — — — — — — — 0.12 0.12
Total 0.69 0.67 0.17 1.7 < 0.005 < 0.005 0.31 0.31 < 0.005 0.08 0.08 3.5 336 340 0.38 0.02 0.55 355

3. Construction Emissions Details

3.1. Site Preparation (2026) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Onsite — — — — — — — — — — — — — — — — — —
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

1.3 1.1 9.8 11 0.03 0.42 — 0.42 0.39 — 0.39 — 2,716 2,716 0.11 0.02 — 2,725 Dust
From
Material
Movement
— — — — — — 0.62 0.62 — 0.07 0.07 — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Average
Daily
— — — — — — — — — — — — — — — — — —
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Off-Roa
Equipment

0.01 0.01 0.08 0.09 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 22 22 < 0.005 < 0.005 — 22 Dust
From
Material
Movement
— — — — — — 0.01 0.01 — < 0.005 < 0.005 — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Annual — — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent
< 0.005 < 0.005 0.01 0.02 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 3.7 3.7 < 0.005 < 0.005 — 3.7 Dust
From
Material
Movement
— — — — — — < 0.005 < 0.005 — < 0.005 < 0.005 — — — — — — — Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Offsite — — — — — — — — — — — — — — — — — —
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Worker 0.03 0.03 0.02 0.29 0.00 0.00 0.06 0.06 0.00 0.01 0.01 — 66 66 < 0.005 < 0.005 0.01 67 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Average
Daily
— — — — — — — — — — — — — — — — — —
Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.55 0.55 < 0.005 < 0.005 < 0.005 0.55 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Annual — — — — — — — — — — — — — — — — — —1239
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Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.09 0.09 < 0.005 < 0.005 < 0.005 0.09 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00

3.3. Grading (2026) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Onsite — — — — — — — — — — — — — — — — — —
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

1.7 1.4 13 14 0.02 0.58 — 0.58 0.53 — 0.53 — 2,455 2,455 0.10 0.02 — 2,463 Dust
From
Material
Movement
— — — — — — 2.8 2.8 — 1.3 1.3 — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Average
Daily
— — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

0.11 0.09 0.85 0.92 < 0.005 0.04 — 0.04 0.04 — 0.04 — 161 161 0.01 < 0.005 — 162 Dust
From
Material
Movement
— — — — — — 0.18 0.18 — 0.09 0.09 — — — — — — —
1240
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0.000.000.000.000.000.00—0.000.000.000.000.000.000.000.000.000.000.00Onsite truck
Annual — — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

0.02 0.02 0.15 0.17 < 0.005 0.01 — 0.01 0.01 — 0.01 — 27 27 < 0.005 < 0.005 — 27 Dust
From
Material
Movement
— — — — — — 0.03 0.03 — 0.02 0.02 — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Offsite — — — — — — — — — — — — — — — — — —
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Worker 0.04 0.04 0.03 0.38 0.00 0.00 0.08 0.08 0.00 0.02 0.02 — 88 88 < 0.005 < 0.005 0.01 89 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.53 0.15 9.8 3.7 0.05 0.14 1.9 2.1 0.09 0.53 0.62 — 7,368 7,368 0.37 1.2 0.40 7,730 Average
Daily
— — — — — — — — — — — — — — — — — —
Worker < 0.005 < 0.005 < 0.005 0.03 0.00 0.00 0.01 0.01 0.00 < 0.005 < 0.005 — 5.8 5.8 < 0.005 < 0.005 0.01 5.9 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.04 0.01 0.64 0.24 < 0.005 0.01 0.13 0.14 0.01 0.03 0.04 — 484 484 0.02 0.08 0.44 509 Annual — — — — — — — — — — — — — — — — — —
Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.96 0.96 < 0.005 < 0.005 < 0.005 0.98 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.01 < 0.005 0.12 0.04 < 0.005 < 0.005 0.02 0.02 < 0.005 0.01 0.01 — 80 80 < 0.005 0.01 0.07 84 1241
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3.5. Building Construction (2026) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Onsite — — — — — — — — — — — — — — — — — —
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

1.4 1.2 10 12 0.02 0.36 — 0.36 0.33 — 0.33 — 2,201 2,201 0.09 0.02 — 2,208 Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

1.4 1.2 10 12 0.02 0.36 — 0.36 0.33 — 0.33 — 2,201 2,201 0.09 0.02 — 2,208 Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Average
Daily
— — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

0.85 0.71 6.1 7.1 0.01 0.22 — 0.22 0.20 — 0.20 — 1,327 1,327 0.05 0.01 — 1,331 Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Annual — — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

0.16 0.13 1.1 1.3 < 0.005 0.04 — 0.04 0.04 — 0.04 — 220 220 0.01 < 0.005 — 220 1242
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Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Offsite — — — — — — — — — — — — — — — — — —
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Worker 0.14 0.12 0.09 1.4 0.00 0.00 0.28 0.28 0.00 0.07 0.07 — 308 308 0.01 0.01 1.1 313 Vendor 0.01 < 0.005 0.16 0.07 < 0.005 < 0.005 0.03 0.03 < 0.005 0.01 0.01 — 121 121 < 0.005 0.02 0.29 126 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Worker 0.13 0.12 0.10 1.3 0.00 0.00 0.28 0.28 0.00 0.07 0.07 — 291 291 0.02 0.01 0.03 295 Vendor 0.01 < 0.005 0.16 0.07 < 0.005 < 0.005 0.03 0.03 < 0.005 0.01 0.01 — 121 121 < 0.005 0.02 0.01 126 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Average
Daily
— — — — — — — — — — — — — — — — — —
Worker 0.08 0.07 0.06 0.77 0.00 0.00 0.17 0.17 0.00 0.04 0.04 — 177 177 0.01 0.01 0.28 179 Vendor 0.01 < 0.005 0.10 0.04 < 0.005 < 0.005 0.02 0.02 < 0.005 0.01 0.01 — 73 73 < 0.005 0.01 0.08 76 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Annual — — — — — — — — — — — — — — — — — —
Worker 0.01 0.01 0.01 0.14 0.00 0.00 0.03 0.03 0.00 0.01 0.01 — 29 29 < 0.005 < 0.005 0.05 30 Vendor < 0.005 < 0.005 0.02 0.01 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 — 12 12 < 0.005 < 0.005 0.01 13 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00

3.7. Paving (2026) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Onsite — — — — — — — — — — — — — — — — — —
1243
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——————————————————Daily,
Summer
(Max)
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

0.79 0.67 5.9 8.2 0.01 0.25 — 0.25 0.23 — 0.23 — 1,244 1,244 0.05 0.01 — 1,248 Paving 0.21 0.21 — — — — — — — — — — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Average
Daily
— — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

0.02 0.02 0.16 0.22 < 0.005 0.01 — 0.01 0.01 — 0.01 — 34 34 < 0.005 < 0.005 — 34 Paving 0.01 0.01 — — — — — — — — — — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Annual — — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent
< 0.005 < 0.005 0.03 0.04 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 5.6 5.6 < 0.005 < 0.005 — 5.7 Paving < 0.005 < 0.005 — — — — — — — — — — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Offsite — — — — — — — — — — — — — — — — — —
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
1244
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——————————————————Daily,
Winter
(Max)
Worker 0.06 0.05 0.05 0.57 0.00 0.00 0.13 0.13 0.00 0.03 0.03 — 132 132 0.01 0.01 0.01 133 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Average
Daily
— — — — — — — — — — — — — — — — — —
Worker < 0.005 < 0.005 < 0.005 0.02 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 3.6 3.6 < 0.005 < 0.005 0.01 3.7 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Annual — — — — — — — — — — — — — — — — — —
Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.60 0.60 < 0.005 < 0.005 < 0.005 0.61 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00

3.9. Architectural Coating (2026) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Onsite — — — — — — — — — — — — — — — — — —
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

0.15 0.12 0.86 1.1 < 0.005 0.02 — 0.02 0.02 — 0.02 — 134 134 0.01 < 0.005 — 134 1245
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————————————————6363Architect
ural
Coating
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Average
Daily
— — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent
< 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 1.0 1.0 < 0.005 < 0.005 — 1.0 Architect
ural
Coating
s

0.49 0.49 — — — — — — — — — — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Annual — — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent
< 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 0.17 0.17 < 0.005 < 0.005 — 0.17 Architect
ural
Coating
s

0.09 0.09 — — — — — — — — — — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Offsite — — — — — — — — — — — — — — — — — —
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Worker 0.03 0.02 0.02 0.25 0.00 0.00 0.06 0.06 0.00 0.01 0.01 — 58 58 < 0.005 < 0.005 0.01 59 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.001246 South Santa Fe Townhomes Detailed Report, 12/10/2025
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Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Average
Daily
— — — — — — — — — — — — — — — — — —
Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.46 0.46 < 0.005 < 0.005 < 0.005 0.47 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Annual — — — — — — — — — — — — — — — — — —
Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.08 0.08 < 0.005 < 0.005 < 0.005 0.08 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00

3.11. Architectural Coating (2027) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Onsite — — — — — — — — — — — — — — — — — —
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent

0.14 0.11 0.83 1.1 < 0.005 0.02 — 0.02 0.02 — 0.02 — 134 134 0.01 < 0.005 — 134 Architect
ural
Coating
s
63 63 — — — — — — — — — — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Average
Daily
— — — — — — — — — — — — — — — — — —
1247
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Off-Roa
Equipment
< 0.005 < 0.005 0.01 0.02 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 2.1 2.1 < 0.005 < 0.005 — 2.1 Architect
ural
Coating
s

0.98 0.98 — — — — — — — — — — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Annual — — — — — — — — — — — — — — — — — —
Off-Roa
d
Equipm
ent
< 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 0.35 0.35 < 0.005 < 0.005 — 0.35 Architect
ural
Coating
s

0.18 0.18 — — — — — — — — — — — — — — — —
Onsite
truck

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Offsite — — — — — — — — — — — — — — — — — —
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Worker 0.03 0.02 0.02 0.24 0.00 0.00 0.06 0.06 0.00 0.01 0.01 — 57 57 < 0.005 < 0.005 0.01 58 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Average
Daily
— — — — — — — — — — — — — — — — — —
Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.90 0.90 < 0.005 < 0.005 < 0.005 0.92 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Annual — — — — — — — — — — — — — — — — — —1248
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Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.15 0.15 < 0.005 < 0.005 < 0.005 0.15 Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00

4. Operations Emissions Details

4.1. Mobile Emissions by Land Use

4.1.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise

1.5 1.4 0.82 8.7 0.02 0.02 1.8 1.8 0.01 0.46 0.47 — 2,079 2,079 0.10 0.08 6.3 2,113 Total 1.5 1.4 0.82 8.7 0.02 0.02 1.8 1.8 0.01 0.46 0.47 — 2,079 2,079 0.10 0.08 6.3 2,113 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise

1.4 1.3 0.91 8.3 0.02 0.02 1.8 1.8 0.01 0.46 0.47 — 1,988 1,988 0.11 0.09 0.16 2,017 Total 1.4 1.3 0.91 8.3 0.02 0.02 1.8 1.8 0.01 0.46 0.47 — 1,988 1,988 0.11 0.09 0.16 2,017 Annual — — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise

0.25 0.23 0.15 1.4 < 0.005 < 0.005 0.31 0.31 < 0.005 0.08 0.08 — 315 315 0.02 0.01 0.43 320 Total 0.25 0.23 0.15 1.4 < 0.005 < 0.005 0.31 0.31 < 0.005 0.08 0.08 — 315 315 0.02 0.01 0.43 320 1249
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4.2. Energy

4.2.1. Electricity Emissions By Land Use - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise
— — — — — — — — — — — — 19 19 0.01 < 0.005 — 20
Total — — — — — — — — — — — — 19 19 0.01 < 0.005 — 20
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise
— — — — — — — — — — — — 19 19 0.01 < 0.005 — 20
Total — — — — — — — — — — — — 19 19 0.01 < 0.005 — 20
Annual — — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise
— — — — — — — — — — — — 3.2 3.2 < 0.005 < 0.005 — 3.3
Total — — — — — — — — — — — — 3.2 3.2 < 0.005 < 0.005 — 3.3

4.2.3. Natural Gas Emissions By Land Use - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
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Apartme
Mid Rise

0.01 < 0.005 0.08 0.03 < 0.005 0.01 — 0.01 0.01 — 0.01 — 104 104 0.01 < 0.005 — 105 Total 0.01 < 0.005 0.08 0.03 < 0.005 0.01 — 0.01 0.01 — 0.01 — 104 104 0.01 < 0.005 — 105 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise

0.01 < 0.005 0.08 0.03 < 0.005 0.01 — 0.01 0.01 — 0.01 — 104 104 0.01 < 0.005 — 105 Total 0.01 < 0.005 0.08 0.03 < 0.005 0.01 — 0.01 0.01 — 0.01 — 104 104 0.01 < 0.005 — 105 Annual — — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise
< 0.005 < 0.005 0.02 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 17 17 < 0.005 < 0.005 — 17 Total < 0.005 < 0.005 0.02 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 17 17 < 0.005 < 0.005 — 17

4.3. Area Emissions by Source

4.3.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Source TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Hearths 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 Consum
er
Product
s

2.1 2.1 — — — — — — — — — — — — — — — —
Architect
ural
Coating
s

0.17 0.17 — — — — — — — — — — — — — — — —
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7.0—< 0.005< 0.0057.07.0—< 0.005—< 0.005< 0.005—< 0.005< 0.0052.60.020.230.24Landsca pe
Total 2.6 2.5 0.02 2.6 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 0.00 7.0 7.0 < 0.005 < 0.005 — 7.0 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Hearths 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 Consum
er
Product
s

2.1 2.1 — — — — — — — — — — — — — — — —
Architect
ural
Coating
s

0.17 0.17 — — — — — — — — — — — — — — — —
Total 2.3 2.3 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 Annual — — — — — — — — — — — — — — — — — —
Hearths 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 Consum
er
Product
s

0.39 0.39 — — — — — — — — — — — — — — — —
Architect
ural
Coating
s

0.03 0.03 — — — — — — — — — — — — — — — —
Landsca
pe
Equipm
ent

0.02 0.02 < 0.005 0.24 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 0.57 0.57 < 0.005 < 0.005 — 0.57 Total 0.44 0.44 < 0.005 0.24 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 0.00 0.57 0.57 < 0.005 < 0.005 — 0.57

4.4. Water Emissions by Land Use

4.4.1. Unmitigated
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Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise
— — — — — — — — — — — 3.1 1.8 4.9 0.32 0.01 — 15
Total — — — — — — — — — — — 3.1 1.8 4.9 0.32 0.01 — 15
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise
— — — — — — — — — — — 3.1 1.8 4.9 0.32 0.01 — 15
Total — — — — — — — — — — — 3.1 1.8 4.9 0.32 0.01 — 15
Annual — — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise
— — — — — — — — — — — 0.51 0.30 0.81 0.05 < 0.005 — 2.5 Total — — — — — — — — — — — 0.51 0.30 0.81 0.05 < 0.005 — 2.5

4.5. Waste Emissions by Land Use

4.6. Refrigerant Emissions by Land Use

0.720.72————————————————Apartme
nts
Total — — — — — — — — — — — — — — — — 0.72 0.72
Annual — — — — — — — — — — — — — — — — — —
Apartme
nts
Mid Rise
— — — — — — — — — — — — — — — — 0.12 0.12
Total — — — — — — — — — — — — — — — — 0.12 0.12

4.7. Offroad Emissions By Equipment Type

4.7.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Equipm
ent
Type
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —

4.8. Stationary Emissions By Equipment Type

4.8.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) 1255
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CO2eRN2OCH4CO2TNBCO2BCO2PM2.5TPM2.5DPM2.5EPM10TPM10DPM10ESO2CONOxROGTOGEquipm ent
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —

4.9. User Defined Emissions By Equipment Type

4.9.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Equipm
ent
Type
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —

4.10. Soil Carbon Accumulation By Vegetation Type
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4.10.1. Soil Carbon Accumulation By Vegetation Type - Unmitigated Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Vegetati
on
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —

4.10.2. Above and Belowground Carbon Accumulation by Land Use Type - Unmitigated Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —

4.10.3. Avoided and Sequestered Emissions by Species - Unmitigated 1257
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Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Species TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Avoided — — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
Sequest
ered
— — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
Remove
d
— — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
— — — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Avoided — — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
Sequest
ered
— — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
Remove
d
— — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
— — — — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Avoided — — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
Sequest
ered
— — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
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Remove — — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
— — — — — — — — — — — — — — — — — — —

5. Activity Data

5.1. Construction Schedule
Phase Name Phase Type Start Date End Date Days Per Week Work Days per Phase Phase Description Site Preparation Site Preparation 1/1/2026 1/5/2026 5.0 3.0 — Grading Grading 1/6/2026 2/6/2026 5.0 24 —
Building Construction Building Construction 2/9/2026 12/11/2026 5.0 220 — Paving Paving 12/14/2026 12/25/2026 5.0 10.0 —
Architectural Coating Architectural Coating 12/28/2026 1/8/2027 5.0 10.0 —

5.2. Off-Road Equipment

5.2.1. Unmitigated
Phase Name Equipment Type Fuel Type Engine Tier Number per Day Hours Per Day Horsepower Load Factor Site Preparation Graders Diesel Average 1.00 8.0 148 0.41 Site Preparation Scrapers Diesel Average 1.00 8.0 423 0.48 Site Preparation Tractors/Loaders/Back
hoes
Diesel Average 1.00 7.0 84 0.37
Grading Graders Diesel Average 1.00 8.0 148 0.41
Grading Rubber Tired Dozers Diesel Average 1.00 8.0 367 0.40 Grading Tractors/Loaders/Back
hoes
Diesel Average 2.0 7.0 84 0.37
Building Construction Cranes Diesel Average 1.00 8.0 367 0.29 Building Construction Forklifts Diesel Average 2.0 7.0 82 0.20 1259
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Building Construction Generator Sets Diesel Average 1.00 8.0 14 0.74 Building Construction Tractors/Loaders/Back
hoes
Diesel Average 1.00 6.0 84 0.37
Building Construction Welders Diesel Average 3.0 8.0 46 0.45 Paving Cement and Mortar
Mixers
Diesel Average 1.00 8.0 10.0 0.56
Paving Pavers Diesel Average 1.00 8.0 81 0.42
Paving Paving Equipment Diesel Average 1.00 8.0 89 0.36 Paving Rollers Diesel Average 2.0 8.0 36 0.38
Paving Tractors/Loaders/Back
hoes
Diesel Average 1.00 8.0 84 0.37
Architectural Coating Air Compressors Diesel Average 1.00 6.0 37 0.48

5.3. Construction Vehicles

5.3.1. Unmitigated
Phase Name Trip Type One-Way Trips per Day Miles per Trip Vehicle Mix Site Preparation Worker 7.5 12 LDA,LDT1,LDT2
Site Preparation Vendor — 7.6 HHDT,MHDT
Site Preparation Hauling 0.00 20 HHDT
Site Preparation Onsite truck — — HHDT
Grading Worker 10.0 12 LDA,LDT1,LDT2
Grading Vendor — 7.6 HHDT,MHDT
Grading Hauling 105 20 HHDT
Grading Onsite truck — — HHDT
Building Construction Worker 33 12 LDA,LDT1,LDT2
Building Construction Vendor 4.9 7.6 HHDT,MHDT
Building Construction Hauling 0.00 20 HHDT
Building Construction Onsite truck — — HHDT
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Paving Worker 15 12 LDA,LDT1,LDT2
Paving Vendor — 7.6 HHDT,MHDT
Paving Hauling 0.00 20 HHDT
Paving Onsite truck — — HHDT
Architectural Coating Worker 6.6 12 LDA,LDT1,LDT2
Architectural Coating Vendor — 7.6 HHDT,MHDT
Architectural Coating Hauling 0.00 20 HHDT
Architectural Coating Onsite truck — — HHDT

5.4. Vehicles

5.4.1. Construction Vehicle Control Strategies
Non-applicable. No control strategies activated by user.

5.5. Architectural Coatings
Phase Name Residential Interior Area
Coated (sq ft)
Residential Exterior Area
Coated (sq ft)
Non-Residential Interior Area
Coated (sq ft)
Non-Residential Exterior Area
Coated (sq ft)
Parking Area Coated (sq ft)
Architectural Coating 202,500 67,500 0.00 0.00 —

5.6. Dust Mitigation

5.6.1. Construction Earthmoving Activities
Phase Name Material Imported (cy) Material Exported (cy) Acres Graded (acres) Material Demolished (sq. ft.) Acres Paved (acres) Site Preparation — — 4.5 0.00 0.00
Grading — 20,100 24 0.00 0.00
Paving 0.00 0.00 0.00 0.00 0.82

5.6.2. Construction Earthmoving Control Strategies
Control Strategies Applied Frequency (per day) PM10 Reduction PM2.5 Reduction 1261 South Santa Fe Townhomes Detailed Report, 12/10/2025
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Water Exposed Area 2 61% 61%

5.7. Construction Paving
Phase Name Land Use Area Paved (acres) % Asphalt
Paving Apartments Mid Rise 0.82 100%

5.8. Construction Electricity Consumption and Emissions Factors kWh per Y ear and Emission Factor (lb/MWh)
Y ear kWh per Y ear CO2 CH4 N2O
2026 0.00 589 0.03 < 0.005
2027 0.00 589 0.03 < 0.005

5.9. Operational Mobile Sources

5.9.1. Unmitigated
Land Use Type Trips/Weekday Trips/Saturday Trips/Sunday Trips/Y ear VMT/Weekday VMT/Saturday VMT/Sunday VMT/Y ear Apartments Mid
Rise
368 332 278 127,748 2,548 2,300 1,924 884,547

5.10. Operational Area Sources

5.10.1. Hearths
Land Use Hearth Type Unmitigated (number) Mitigated (number) Apartments Mid Rise Wood Fireplaces 0 0
Apartments Mid Rise Gas Fireplaces 0 0
Apartments Mid Rise Propane Fireplaces 0 0
Apartments Mid Rise Electric Fireplaces 0 0
Apartments Mid Rise No Fireplaces 46 46 1262
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Apartments Mid Rise Conventional Wood Stoves 0 0
Apartments Mid Rise Catalytic Wood Stoves 0 0
Apartments Mid Rise Non-Catalytic Wood Stoves 0 0
Apartments Mid Rise Pellet Wood Stoves 0 0

5.10.2. Architectural Coatings
— Residential Interior Area
Coated (sq ft)
Residential Exterior Area
Coated (sq ft)
Non-Residential Interior Area
Coated (sq ft)
Non-Residential Exterior Area
Coated (sq ft)
Parking Area Coated (sq ft)
undefined 202,500 67,500 0.00 0.00 —

5.10.3. Landscape Equipment
Season Unit Value
Snow Days day/yr 0.00
Summer Days day/yr 180

5.11. Operational Energy Consumption

5.11.1. Unmitigated
Electricity (kWh/yr) and CO2 and CH4 and N2O and Natural Gas (kBTU/yr) Land Use Electricity (kWh/yr) CO2 CH4 N2O Natural Gas (kBTU/yr) Apartments Mid Rise 155,980 45 0.0330 0.0040 325,608

5.12. Operational Water and Wastewater Consumption

5.12.1. Unmitigated
Land Use Indoor Water (gal/year) Outdoor Water (gal/year) Apartments Mid Rise 1,616,121 707,937
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5.13. Operational Waste Generation

5.13.1. Unmitigated
Land Use Waste (ton/year) Cogeneration (kWh/year)
Apartments Mid Rise 34 0.00

5.14. Operational Refrigeration and Air Conditioning Equipment

5.14.1. Unmitigated
Land Use Equipment Type Refrigerant GWP Quantity (kg) Operations Leak Rate Service Leak Rate Times Serviced Apartments Mid Rise Average room A/C &
Other residential A/C
and heat pumps
R-410A 2,088 < 0.005 2.5 2.5 10.0
Apartments Mid Rise Household
refrigerators and/or
freezers
R-134a 1,430 0.12 0.60 0.00 1.00

5.15. Operational Off-Road Equipment

5.15.1. Unmitigated

5.16. Stationary Sources

5.16.1. Emergency Generators and Fire Pumps

5.16.2. Process Boilers

5.17. User Defined

5.18. Vegetation
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5.18.1. Land Use Change

5.18.1.1. Unmitigated
Vegetation Land Use Type Vegetation Soil Type Initial Acres Final Acres

5.18.1. Biomass Cover Type

5.18.1.1. Unmitigated
Biomass Cover Type Initial Acres Final Acres

5.18.2. Sequestration

5.18.2.1. Unmitigated
Tree Type Number Electricity Saved (kWh/year) Natural Gas Saved (btu/year)

6. Climate Risk Detailed Report

6.1. Climate Risk Summary
Cal-Adapt midcentury 2040–2059 average projections for four hazards are reported below for your project location. These are under Representation Concentration Pathway (RCP) 8.5 which assumes GHG emissions will continue to rise strongly through 2050 and then plateau around 2100.

Climate Hazard Result for Project Location Unit
Temperature and Extreme Heat 11 annual days of extreme heat Extreme Precipitation 4.0 annual days with precipitation above 20 mm Sea Level Rise — meters of inundation depth
Wildfire 7.4 annual hectares burned
Temperature and Extreme Heat data are for grid cell in which your project are located. The projection is based on the 98th historical percentile of daily maximum/minimum temperatures from observed historical data (32 climate model ensemble from Cal-Adapt, 2040–2059 average under RCP 8.5). Each grid cell is 6 kilometers (km) by 6 km, or 3.7 miles (mi) by 3.7 mi.

Extreme Precipitation data are for the grid cell in which your project are located. The threshold of 20 mm is equivalent to about ¾ an inch of rain, which would be light to moderate rainfall if received over a full day or heavy rain if received over a period of 2 to 4 hours. Each grid cell is 6 kilometers (km) by 6 km, or 3.7 miles (mi) by 3.7 mi. 1265
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Sea Level Rise data are for the grid cell in which your project are located. The projections are from Radke et al. (2017), as reported in Cal-Adapt (Radke et al., 2017, CEC-500-2017-008), and consider inundation location and depth for the San Francisco Bay, the Sacramento-San Joaquin River Delta and California coast resulting different increments of sea level rise coupled with extreme storm events. Users may select from four scenarios to view the range in potential inundation depth for the grid cell. The four scenarios are: No rise, 0.5 meter, 1.0 meter, 1.41 meters Wildfire data are for the grid cell in which your project are located. The projections are from UC Davis, as reported in Cal-Adapt (2040–2059 average under RCP 8.5), and consider historical data of climate, vegetation, population density, and large (> 400 ha) fire history. Users may select from four model simulations to view the range in potential wildfire probabilities for the grid cell. The four simulations make different assumptions about expected rainfall and temperature are: Warmer/drier (HadGEM2-ES), Cooler/wetter (CNRM-CM5), Average conditions (CanESM2), Range of different rainfall and temperature possibilities (MIROC5). Each grid cell is 6 kilometers (km) by 6 km, or 3.7 miles (mi) by 3.7 mi.

The adaptive capacity of a project refers to its ability to manage and reduce vulnerabilities from projected climate hazards. Adaptive capacity is rated on a scale of 1 to 5, with a score of 5 representing the greatest ability to adapt.

The overall vulnerability scores are calculated based on the potential impacts and adaptive capacity assessments for each hazard. Scores do not include implementation of climate risk reduction measures.

6.3. Adjusted Climate Risk Scores
Climate Hazard Exposure Score Sensitivity Score Adaptive Capacity Score Vulnerability Score Temperature and Extreme Heat N/A N/A N/A N/A
Extreme Precipitation N/A N/A N/A N/A
Sea Level Rise 1 1 1 2
Wildfire 1 1 1 2
Flooding 1 1 1 2
Drought N/A N/A N/A N/A
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Snowpack Reduction N/A N/A N/A N/A
Air Quality Degradation N/A N/A N/A N/A
The sensitivity score reflects the extent to which a project would be adversely affected by exposure to a climate hazard. Exposure is rated on a scale of 1 to 5, with a score of 5 representing the greatest exposure.

The overall vulnerability scores are calculated based on the potential impacts and adaptive capacity assessments for each hazard. Scores include implementation of climate risk reduction measures.

6.4. Climate Risk Reduction Measures

7. Health and Equity Details

7.1. CalEnviroScreen 4.0 Scores
The maximum CalEnviroScreen score is 100. A high score (i.e., greater than 50) reflects a higher pollution burden compared to other census tracts in the state.

Indicator Result for Project Census Tract
Exposure Indicators —
AQ-Ozone 38
AQ-PM 28
AQ-DPM 62
Drinking Water 30
Lead Risk Housing 49
Pesticides 54
Toxic Releases 32
Traffic 41
Effect Indicators —
CleanUp Sites 62
Groundwater 38
Haz Waste Facilities/Generators 64
Impaired Water Bodies 90
Solid Waste 85 1267
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Sensitive Population —
Asthma 4.2
Cardio-vascular 13
Low Birth Weights 65
Socioeconomic Factor Indicators —
Education 83
Housing 70
Linguistic 90
Poverty 92
Unemployment 5.6

7.2. Healthy Places Index Scores
The maximum Health Places Index score is 100. A high score (i.e., greater than 50) reflects healthier community conditions compared to other census tracts in the state.

Indicator Result for Project Census Tract
Economic —
Above Poverty 23.27730014
Employed 43.12844861
Median HI 34.33850892
Education —
Bachelor's or higher 15.47542666
High school enrollment 19.24804312
Preschool enrollment 29.86013089
Transportation —
Auto Access 98.98626973
Active commuting 49.33915052
Social —
2-parent households 34.54382138
Voting 48.659053
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Neighborhood —
Alcohol availability 44.5528038
Park access 10.72757603
Retail density 39.86911331
Supermarket access 47.37585012
Tree canopy 21.32683177
Housing —
Homeownership 33.61991531
Housing habitability 43.23110484
Low-inc homeowner severe housing cost burden 29.79597074 Low-inc renter severe housing cost burden 63.30039779
Uncrowded housing 33.53009111
Health Outcomes —
Insured adults 4.157577313
Arthritis 64.8
Asthma ER Admissions 96.3
High Blood Pressure 83.5
Cancer (excluding skin) 80.0
Asthma 25.7
Coronary Heart Disease 57.7
Chronic Obstructive Pulmonary Disease 27.0
Diagnosed Diabetes 38.1
Life Expectancy at Birth 31.7
Cognitively Disabled 44.8
Physically Disabled 80.2
Heart Attack ER Admissions 96.4
Mental Health Not Good 16.4
Chronic Kidney Disease 45.1
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Obesity 26.2
Pedestrian Injuries 42.6
Physical Health Not Good 25.9
Stroke 51.7
Health Risk Behaviors —
Binge Drinking 22.7
Current Smoker 18.8
No Leisure Time for Physical Activity 21.7
Climate Change Exposures —
Wildfire Risk 0.0
SLR Inundation Area 0.0
Children 16.3
Elderly 90.0
English Speaking 5.3
Foreign-born 72.2
Outdoor Workers 23.3
Climate Change Adaptive Capacity —
Impervious Surface Cover 45.9
Traffic Density 80.5
Traffic Access 23.0
Other Indices —
Hardship 65.3
Other Decision Support —
2016 Voting 53.3

7.3. Overall Health & Equity Scores
Metric Result for Project Census Tract
CalEnviroScreen 4.0 Score for Project Location (a) 60
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Healthy Places Index Score for Project Location (b) 27
Project Located in a Designated Disadvantaged Community (Senate Bill 535) No Project Located in a Low-Income Community (Assembly Bill 1550) Y es Project Located in a Community Air Protection Program Community (Assembly Bill 617) No a: The maximum CalEnviroScreen score is 100. A high score (i.e., greater than 50) reflects a higher pollution burden compared to other census tracts in the state. b: The maximum Health Places Index score is 100. A high score (i.e., greater than 50) reflects healthier community conditions compared to other census tracts in the state.

7.4. Health & Equity Measures
No Health & Equity Measures selected.

7.5. Evaluation Scorecard
Health & Equity Evaluation Scorecard not completed.

7.6. Health & Equity Custom Measures
No Health & Equity Custom Measures created.

8. User Changes to Default Data

8.1. Justifications
Screen Justification
Land Use 46 units

2.72 acres
38,759 sf landscaping
Construction: Construction Phases No demo. Grading anticipated over one month period. All other default phasing modeled.

Construction: Paving 35,778 sf paved (0.82 acres)
Operations: Vehicle Data 8 weekday trips/unit
Weekend trips adjusted proportionately
Operations: Hearths No fireplaces or wood stoves.
1271
Air Quality Analysis
Santa Fe Flores Townhomes Project

ATTACHMENT 2
CalEEMod Output – Industrial, Commercial, and
Convenience Market Project Emissions
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South Santa Fe Townhomes - Existing Designations Detailed Report Table of Contents

1. Basic Project Information

1.1. Basic Project Information

1.2. Land Use Types

1.3. User-Selected Emission Reduction Measures by Emissions Sector

2. Emissions Summary

2.4. Operations Emissions Compared Against Thresholds

2.5. Operations Emissions by Sector, Unmitigated

4. Operations Emissions Details

4.1. Mobile Emissions by Land Use

4.1.1. Unmitigated

4.2. Energy

4.2.1. Electricity Emissions By Land Use - Unmitigated

4.2.3. Natural Gas Emissions By Land Use - Unmitigated

4.3. Area Emissions by Source

4.3.1. Unmitigated
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4.4. Water Emissions by Land Use

4.4.1. Unmitigated

4.5. Waste Emissions by Land Use

4.5.1. Unmitigated

4.6. Refrigerant Emissions by Land Use

4.6.1. Unmitigated

4.7. Offroad Emissions By Equipment Type

4.7.1. Unmitigated

4.8. Stationary Emissions By Equipment Type

4.8.1. Unmitigated

4.9. User Defined Emissions By Equipment Type

4.9.1. Unmitigated

4.10. Soil Carbon Accumulation By Vegetation Type

4.10.1. Soil Carbon Accumulation By Vegetation Type - Unmitigated

4.10.2. Above and Belowground Carbon Accumulation by Land Use Type - Unmitigated

4.10.3. Avoided and Sequestered Emissions by Species - Unmitigated

5. Activity Data

5.9. Operational Mobile Sources
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5.9.1. Unmitigated

5.10. Operational Area Sources

5.10.1. Hearths

5.10.2. Architectural Coatings

5.10.3. Landscape Equipment

5.11. Operational Energy Consumption

5.11.1. Unmitigated

5.12. Operational Water and Wastewater Consumption

5.12.1. Unmitigated

5.13. Operational Waste Generation

5.13.1. Unmitigated

5.14. Operational Refrigeration and Air Conditioning Equipment

5.14.1. Unmitigated

5.15. Operational Off-Road Equipment

5.15.1. Unmitigated

5.16. Stationary Sources

5.16.1. Emergency Generators and Fire Pumps

5.16.2. Process Boilers
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5.17. User Defined

5.18. Vegetation

5.18.1. Land Use Change

5.18.1.1. Unmitigated

5.18.1. Biomass Cover Type

5.18.1.1. Unmitigated

5.18.2. Sequestration

5.18.2.1. Unmitigated

6. Climate Risk Detailed Report

6.1. Climate Risk Summary

6.2. Initial Climate Risk Scores

6.3. Adjusted Climate Risk Scores

6.4. Climate Risk Reduction Measures

7. Health and Equity Details

7.1. CalEnviroScreen 4.0 Scores

7.2. Healthy Places Index Scores

7.3. Overall Health & Equity Scores

7.4. Health & Equity Measures
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7.5. Evaluation Scorecard

7.6. Health & Equity Custom Measures

8. User Changes to Default Data

8.1. Justifications
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1. Basic Project Information

1.1. Basic Project Information
Data Field Value
Project Name South Santa Fe Townhomes - Existing Designations Operational Y ear 2027
Lead Agency City of San Marcos
Land Use Scale Project/site
Analysis Level for Defaults County
Windspeed (m/s) 2.2
Precipitation (days) 19
Location 2982 S Santa Fe Ave, San Marcos, CA 92069, USA County San Diego
City San Marcos
Air District San Diego County APCD
Air Basin San Diego
TAZ 6276
EDFZ 12
Electric Utility San Diego Gas & Electric
Gas Utility San Diego Gas & Electric
App Version 2022.1.1.35

1.2. Land Use Types
Land Use Subtype Size Unit Lot Acreage Building Area (sq ft) Landscape Area (sq ft)
Special Landscape
Area (sq ft)
Population Description
General Light
Industry
38 1000sqft 1.5 38,000 0.00 — — —
Strip Mall 24 1000sqft 0.80 24,000 0.00 — — —
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Convenience
Market (24 hour)

2.2 1000sqft 0.63 2,200 0.00 — — —

1.3. User-Selected Emission Reduction Measures by Emissions Sector No measures selected

2. Emissions Summary

2.4. Operations Emissions Compared Against Thresholds
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Un/Mit. TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 18 16 10 109 0.26 0.23 23 23 0.22 5.9 6.1 63 27,240 27,303 7.7 1.1 547 28,356 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 17 15 11 100 0.25 0.23 23 23 0.22 5.9 6.1 63 26,046 26,109 7.7 1.1 468 27,103 Average
Daily
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 13 12 7.5 67 0.16 0.16 14 14 0.15 3.5 3.7 63 16,295 16,358 7.3 0.74 487 17,251 Annual
(Max)
— — — — — — — — — — — — — — — — — —
Unmit. 2.4 2.2 1.4 12 0.03 0.03 2.5 2.6 0.03 0.64 0.67 10 2,698 2,708 1.2 0.12 81 2,856 Exceeds
(Daily
Max)
— — — — — — — — — — — — — — — — — —
Threshol
d
— 250 250 550 250 — — 100 — — 67 — — — — — — —
Unmit. — No No No No — — No — — No — — — — — — —
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——————————————————Exceeds
(Average
Daily)
Threshol
d
— 250 250 550 250 — — 100 — — 67 — — — — — — —
Unmit. — No No No No — — No — — No — — — — — — —
Exceeds
(Annual)
— — — — — — — — — — — — — — — — — —
Threshol
d
— — — — — — — — — — — — — — — — — —
Unmit. — — — — — — — — — — — — — — — — — Y es

2.5. Operations Emissions by Sector, Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Sector TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Mobile 16 14 9.9 106 0.26 0.20 23 23 0.18 5.9 6.1 — 26,605 26,605 1.2 0.99 81 27,012 Area 2.0 1.9 0.02 2.8 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 11 11 < 0.005 < 0.005 — 12 Energy 0.05 0.02 0.45 0.38 < 0.005 0.03 — 0.03 0.03 — 0.03 — 614 614 0.10 0.01 — 619 Water — — — — — — — — — — — 21 9.0 30 2.1 0.05 — 98
Waste — — — — — — — — — — — 43 0.00 43 4.3 0.00 — 149
Refrig. — — — — — — — — — — — — — — — — 466 466
Total 18 16 10 109 0.26 0.23 23 23 0.22 5.9 6.1 63 27,240 27,303 7.7 1.1 547 28,356 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Mobile 15 14 11 99 0.25 0.20 23 23 0.18 5.9 6.1 — 25,423 25,423 1.3 1.1 2.1 25,771 Area 1.5 1.5 — — — — — — — — — — — — — — — —
Energy 0.05 0.02 0.45 0.38 < 0.005 0.03 — 0.03 0.03 — 0.03 — 614 614 0.10 0.01 — 619 1280
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Water — — — — — — — — — — — 21 9.0 30 2.1 0.05 — 98
Waste — — — — — — — — — — — 43 0.00 43 4.3 0.00 — 149
Refrig. — — — — — — — — — — — — — — — — 466 466
Total 17 15 11 100 0.25 0.23 23 23 0.22 5.9 6.1 63 26,046 26,109 7.7 1.1 468 27,103 Average
Daily
— — — — — — — — — — — — — — — — — —
Mobile 11 10 7.0 65 0.15 0.12 14 14 0.11 3.5 3.6 — 15,666 15,666 0.87 0.69 21 15,913 Area 1.7 1.7 0.01 1.4 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 5.7 5.7 < 0.005 < 0.005 — 5.7 Energy 0.05 0.02 0.45 0.38 < 0.005 0.03 — 0.03 0.03 — 0.03 — 614 614 0.10 0.01 — 619 Water — — — — — — — — — — — 21 9.0 30 2.1 0.05 — 98
Waste — — — — — — — — — — — 43 0.00 43 4.3 0.00 — 149
Refrig. — — — — — — — — — — — — — — — — 466 466
Total 13 12 7.5 67 0.16 0.16 14 14 0.15 3.5 3.7 63 16,295 16,358 7.3 0.74 487 17,251 Annual — — — — — — — — — — — — — — — — — —
Mobile 2.1 1.9 1.3 12 0.03 0.02 2.5 2.6 0.02 0.64 0.66 — 2,594 2,594 0.14 0.11 3.5 2,635 Area 0.31 0.31 < 0.005 0.25 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 0.94 0.94 < 0.005 < 0.005 — 0.94 Energy 0.01 < 0.005 0.08 0.07 < 0.005 0.01 — 0.01 0.01 — 0.01 — 102 102 0.02 < 0.005 — 103 Water — — — — — — — — — — — 3.4 1.5 4.9 0.35 0.01 — 16
Waste — — — — — — — — — — — 7.0 0.00 7.0 0.70 0.00 — 25 Refrig. — — — — — — — — — — — — — — — — 77 77
Total 2.4 2.2 1.4 12 0.03 0.03 2.5 2.6 0.03 0.64 0.67 10 2,698 2,708 1.2 0.12 81 2,856

4. Operations Emissions Details

4.1. Mobile Emissions by Land Use

4.1.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) 1281
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CO2eRN2OCH4CO2TNBCO2BCO2PM2.5TPM2.5DPM2.5EPM10TPM10DPM10ESO2CONOxROGTOGLand Use
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
General
Light
Industry

0.81 0.74 0.52 5.5 0.01 0.01 1.2 1.2 0.01 0.31 0.32 — 1,389 1,389 0.06 0.05 4.2 1,410 Strip
Mall

4.5 4.2 2.9 31 0.08 0.06 6.8 6.8 0.05 1.7 1.8 — 7,777 7,777 0.35 0.29 24 7,896 Conveni
ence
Market
(24 hour)
10 9.3 6.5 69 0.17 0.13 15 15 0.12 3.9 4.0 — 17,439 17,439 0.78 0.65 53 17,706 Total 16 14 9.9 106 0.26 0.20 23 23 0.18 5.9 6.1 — 26,605 26,605 1.2 0.99 81 27,012 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
General
Light
Industry

0.80 0.73 0.57 5.2 0.01 0.01 1.2 1.2 0.01 0.31 0.32 — 1,327 1,327 0.07 0.06 0.11 1,346 Strip
Mall

4.5 4.1 3.2 29 0.07 0.06 6.8 6.8 0.05 1.7 1.8 — 7,431 7,431 0.37 0.31 0.61 7,533 Conveni
ence
Market
(24 hour)

10.0 9.1 7.1 65 0.16 0.13 15 15 0.12 3.9 4.0 — 16,664 16,664 0.83 0.69 1.4 16,892 Total 15 14 11 99 0.25 0.20 23 23 0.18 5.9 6.1 — 25,423 25,423 1.3 1.1 2.1 25,771 Annual — — — — — — — — — — — — — — — — — —
General
Light
Industry

0.13 0.12 0.09 0.86 < 0.005 < 0.005 0.20 0.20 < 0.005 0.05 0.05 — 201 201 0.01 0.01 0.27 204 Strip
Mall

0.74 0.67 0.52 4.8 0.01 0.01 1.1 1.1 0.01 0.28 0.29 — 1,134 1,134 0.06 0.05 1.5 1,151 1282
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1,2791.70.060.081,2581,258—0.320.310.011.21.20.010.016.20.671.11.2Conveni ence
Market
(24
hour)
Total 2.1 1.9 1.3 12 0.03 0.02 2.5 2.6 0.02 0.64 0.66 — 2,594 2,594 0.14 0.11 3.5 2,635

4.2. Energy

4.2.1. Electricity Emissions By Land Use - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — — 42 42 0.03 < 0.005 — 44
Strip
Mall
— — — — — — — — — — — — 26 26 0.02 < 0.005 — 27
Conveni
ence
Market
(24 hour)
— — — — — — — — — — — — 8.3 8.3 0.01 < 0.005 — 8.7
Total — — — — — — — — — — — — 77 77 0.06 0.01 — 80
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — — 42 42 0.03 < 0.005 — 44
Strip
Mall
— — — — — — — — — — — — 26 26 0.02 < 0.005 — 27
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8.7—< 0.0050.018.38.3————————————Conveni
ence
Total — — — — — — — — — — — — 77 77 0.06 0.01 — 80
Annual — — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — — 7.0 7.0 0.01 < 0.005 — 7.3
Strip
Mall
— — — — — — — — — — — — 4.3 4.3 < 0.005 < 0.005 — 4.5
Conveni
ence
Market
(24 hour)
— — — — — — — — — — — — 1.4 1.4 < 0.005 < 0.005 — 1.4
Total — — — — — — — — — — — — 13 13 0.01 < 0.005 — 13

0.05 0.02 0.41 0.35 < 0.005 0.03 — 0.03 0.03 — 0.03 — 492 492 0.04 < 0.005 — 493 Strip
Mall
< 0.005 < 0.005 0.03 0.02 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 33 33 < 0.005 < 0.005 — 33 Conveni
ence
Market
(24 hour)
< 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 13 13 < 0.005 < 0.005 — 13 Total 0.05 0.02 0.45 0.38 < 0.005 0.03 — 0.03 0.03 — 0.03 — 538 538 0.05 < 0.005 — 539 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
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General
Light
Industry

0.05 0.02 0.41 0.35 < 0.005 0.03 — 0.03 0.03 — 0.03 — 492 492 0.04 < 0.005 — 493 Strip
Mall
< 0.005 < 0.005 0.03 0.02 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 33 33 < 0.005 < 0.005 — 33 Conveni
ence
Market
(24 hour)
< 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 13 13 < 0.005 < 0.005 — 13 Total 0.05 0.02 0.45 0.38 < 0.005 0.03 — 0.03 0.03 — 0.03 — 538 538 0.05 < 0.005 — 539 Annual — — — — — — — — — — — — — — — — — —
General
Light
Industry

0.01 < 0.005 0.08 0.06 < 0.005 0.01 — 0.01 0.01 — 0.01 — 81 81 0.01 < 0.005 — 82 Strip
Mall
< 0.005 < 0.005 0.01 < 0.005 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 5.5 5.5 < 0.005 < 0.005 — 5.5 Conveni
ence
Market
(24 hour)
< 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 2.1 2.1 < 0.005 < 0.005 — 2.1 Total 0.01 < 0.005 0.08 0.07 < 0.005 0.01 — 0.01 0.01 — 0.01 — 89 89 0.01 < 0.005 — 89

4.3. Area Emissions by Source

1.4 1.4 — — — — — — — — — — — — — — — —
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————————————————0.080.08Architect
ural
Landsca
pe
Equipm
ent

0.50 0.46 0.02 2.8 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 11 11 < 0.005 < 0.005 — 12 Total 2.0 1.9 0.02 2.8 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 11 11 < 0.005 < 0.005 — 12 Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Consum
er
Product
s

1.4 1.4 — — — — — — — — — — — — — — — —
Architect
ural
Coating
s

0.08 0.08 — — — — — — — — — — — — — — — —
Total 1.5 1.5 — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Consum
er
Product
s

0.25 0.25 — — — — — — — — — — — — — — — —
Architect
ural
Coating
s

0.01 0.01 — — — — — — — — — — — — — — — —
Landsca
pe
Equipm
ent

0.04 0.04 < 0.005 0.25 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 0.94 0.94 < 0.005 < 0.005 — 0.94 Total 0.31 0.31 < 0.005 0.25 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 0.94 0.94 < 0.005 < 0.005 — 0.94

4.4. Water Emissions by Land Use
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4.4.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — 17 7.4 24 1.7 0.04 — 80
Strip
Mall
— — — — — — — — — — — 3.4 1.5 4.9 0.35 0.01 — 16
Conveni
ence
Market
(24 hour)
— — — — — — — — — — — 0.31 0.14 0.45 0.03 < 0.005 — 1.5 Total — — — — — — — — — — — 21 9.0 30 2.1 0.05 — 98
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — 17 7.4 24 1.7 0.04 — 80
Strip
Mall
— — — — — — — — — — — 3.4 1.5 4.9 0.35 0.01 — 16
Conveni
ence
Market
(24 hour)
— — — — — — — — — — — 0.31 0.14 0.45 0.03 < 0.005 — 1.5 Total — — — — — — — — — — — 21 9.0 30 2.1 0.05 — 98
Annual — — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — 2.8 1.2 4.0 0.29 0.01 — 13
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2.7—< 0.0050.060.810.250.56———————————Strip
Mall
Conveni
ence
Market
(24 hour)
— — — — — — — — — — — 0.05 0.02 0.07 0.01 < 0.005 — 0.25 Total — — — — — — — — — — — 3.4 1.5 4.9 0.35 0.01 — 16

4.5. Waste Emissions by Land Use

4.5.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — 25 0.00 25 2.5 0.00 — 89
Strip
Mall
— — — — — — — — — — — 14 0.00 14 1.4 0.00 — 48
Conveni
ence
Market
(24 hour)
— — — — — — — — — — — 3.6 0.00 3.6 0.36 0.00 — 12
Total — — — — — — — — — — — 43 0.00 43 4.3 0.00 — 149
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — 25 0.00 25 2.5 0.00 — 89
Strip
Mall
— — — — — — — — — — — 14 0.00 14 1.4 0.00 — 48
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Conveni
Market
(24 hour)
— — — — — — — — — — — 3.6 0.00 3.6 0.36 0.00 — 12
Total — — — — — — — — — — — 43 0.00 43 4.3 0.00 — 149
Annual — — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — 4.2 0.00 4.2 0.42 0.00 — 15
Strip
Mall
— — — — — — — — — — — 2.2 0.00 2.2 0.22 0.00 — 7.9
Conveni
ence
Market
(24 hour)
— — — — — — — — — — — 0.59 0.00 0.59 0.06 0.00 — 2.1
Total — — — — — — — — — — — 7.0 0.00 7.0 0.70 0.00 — 25

4.6. Refrigerant Emissions by Land Use

4.6.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — — — — — — 9.9 9.9
Strip
Mall
— — — — — — — — — — — — — — — — 0.15 0.15
Conveni
ence
Market
(24 hour)
— — — — — — — — — — — — — — — — 456 456
Total — — — — — — — — — — — — — — — — 466 4661289
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Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — — — — — — 9.9 9.9
Strip
Mall
— — — — — — — — — — — — — — — — 0.15 0.15
Conveni
ence
Market
(24 hour)
— — — — — — — — — — — — — — — — 456 456
Total — — — — — — — — — — — — — — — — 466 466
Annual — — — — — — — — — — — — — — — — — —
General
Light
Industry
— — — — — — — — — — — — — — — — 1.6 1.6
Strip
Mall
— — — — — — — — — — — — — — — — 0.02 0.02
Conveni
ence
Market
(24 hour)
— — — — — — — — — — — — — — — — 76 76
Total — — — — — — — — — — — — — — — — 77 77

4.7. Offroad Emissions By Equipment Type

4.7.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Equipm
ent
Type
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
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Total — — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —

4.8. Stationary Emissions By Equipment Type

4.8.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Equipm
ent
Type
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —

4.9. User Defined Emissions By Equipment Type

4.9.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) 1291
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CO2eRN2OCH4CO2TNBCO2BCO2PM2.5TPM2.5DPM2.5EPM10TPM10DPM10ESO2CONOxROGTOGEquipm ent
Type
Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —

4.10. Soil Carbon Accumulation By Vegetation Type

4.10.2. Above and Belowground Carbon Accumulation by Land Use Type - Unmitigated 1292
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Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Total — — — — — — — — — — — — — — — — — —

4.10.3. Avoided and Sequestered Emissions by Species - Unmitigated Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual) Species TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e Daily,
Summer
(Max)
— — — — — — — — — — — — — — — — — —
Avoided — — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
Sequest
ered
— — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
Remove
d
— — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
— — — — — — — — — — — — — — — — — — —
Daily,
Winter
(Max)
— — — — — — — — — — — — — — — — — —
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Avoided — — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
Sequest
ered
— — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
Remove
d
— — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
— — — — — — — — — — — — — — — — — — —
Annual — — — — — — — — — — — — — — — — — —
Avoided — — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
Sequest
ered
— — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
Remove
d
— — — — — — — — — — — — — — — — — —
Subtotal — — — — — — — — — — — — — — — — — —
— — — — — — — — — — — — — — — — — — —

5. Activity Data

5.9. Operational Mobile Sources

5.9.1. Unmitigated
Land Use Type Trips/Weekday Trips/Saturday Trips/Sunday Trips/Y ear VMT/Weekday VMT/Saturday VMT/Sunday VMT/Y ear General Light
Industry
188 76 190 62,990 1,700 682 1,714 568,287
Strip Mall 1,064 1,009 490 355,493 9,596 9,103 4,424 3,207,233 1294
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3,497,14617,88721,5195,533664,9691,9832,3851,677Convenience Market (24 hour)

5.10. Operational Area Sources

5.10.1. Hearths
Land Use Hearth Type Unmitigated (number) Mitigated (number) General Light Industry Wood Fireplaces 0 0
General Light Industry Gas Fireplaces 0 0
General Light Industry Propane Fireplaces 0 0
General Light Industry Electric Fireplaces 0 0
General Light Industry No Fireplaces 0 0
General Light Industry Conventional Wood Stoves 0 0
General Light Industry Catalytic Wood Stoves 0 0
General Light Industry Non-Catalytic Wood Stoves 0 0
General Light Industry Pellet Wood Stoves 0 0
Strip Mall Wood Fireplaces 0 0
Strip Mall Gas Fireplaces 0 0
Strip Mall Propane Fireplaces 0 0
Strip Mall Electric Fireplaces 0 0
Strip Mall No Fireplaces 0 0
Strip Mall Conventional Wood Stoves 0 0
Strip Mall Catalytic Wood Stoves 0 0
Strip Mall Non-Catalytic Wood Stoves 0 0
Strip Mall Pellet Wood Stoves 0 0
Convenience Market (24 hour) Wood Fireplaces 0 0
Convenience Market (24 hour) Gas Fireplaces 0 0
Convenience Market (24 hour) Propane Fireplaces 0 0
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Convenience Market (24 hour) No Fireplaces 0 0
Convenience Market (24 hour) Conventional Wood Stoves 0 0 Convenience Market (24 hour) Catalytic Wood Stoves 0 0
Convenience Market (24 hour) Non-Catalytic Wood Stoves 0 0 Convenience Market (24 hour) Pellet Wood Stoves 0 0

5.10.3. Landscape Equipment
Season Unit Value
Snow Days day/yr 0.00
Summer Days day/yr 180

5.11. Operational Energy Consumption

5.11.1. Unmitigated
Electricity (kWh/yr) and CO2 and CH4 and N2O and Natural Gas (kBTU/yr) Land Use Electricity (kWh/yr) CO2 CH4 N2O Natural Gas (kBTU/yr) General Light Industry 340,990 45 0.0330 0.0040 1,533,842 Strip Mall 211,549 45 0.0330 0.0040 103,858
Convenience Market (24 hour) 67,509 45 0.0330 0.0040 40,066

5.12. Operational Water and Wastewater Consumption

5.12.1. Unmitigated
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Land Use Indoor Water (gal/year) Outdoor Water (gal/year) General Light Industry 8,787,500 0.00
Strip Mall 1,777,741 0.00
Convenience Market (24 hour) 162,960 0.00

5.13. Operational Waste Generation

5.13.1. Unmitigated
Land Use Waste (ton/year) Cogeneration (kWh/year)
General Light Industry 47 0.00
Strip Mall 25 0.00
Convenience Market (24 hour) 6.6 0.00

5.14. Operational Refrigeration and Air Conditioning Equipment

5.14.1. Unmitigated
Land Use Equipment Type Refrigerant GWP Quantity (kg) Operations Leak Rate Service Leak Rate Times Serviced General Light Industry Other commercial A/C
and heat pumps
R-410A 2,088 0.30 4.0 4.0 18
Strip Mall Other commercial A/C
and heat pumps
R-410A 2,088 < 0.005 4.0 4.0 18
Strip Mall Stand-alone retail
refrigerators and
freezers
R-134a 1,430 0.04 1.00 0.00 1.00
Strip Mall Walk-in refrigerators
and freezers
R-404A 3,922 < 0.005 7.5 7.5 20
Convenience Market
(24 hour)
Other commercial A/C
and heat pumps
R-410A 2,088 < 0.005 4.0 4.0 18
Convenience Market
(24 hour)
Supermarket
refrigeration and
condensing units
R-404A 3,922 27 17 17 18
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5.15. Operational Off-Road Equipment

5.15.1. Unmitigated

5.16. Stationary Sources

5.16.1. Emergency Generators and Fire Pumps

5.16.2. Process Boilers

5.17. User Defined

5.18. Vegetation

5.18.1. Land Use Change

5.18.1.1. Unmitigated
Vegetation Land Use Type Vegetation Soil Type Initial Acres Final Acres

5.18.1. Biomass Cover Type

5.18.1.1. Unmitigated
Biomass Cover Type Initial Acres Final Acres

5.18.2. Sequestration

5.18.2.1. Unmitigated
Tree Type Number Electricity Saved (kWh/year) Natural Gas Saved (btu/year)

6. Climate Risk Detailed Report
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Sea Level Rise data are for the grid cell in which your project are located. The projections are from Radke et al. (2017), as reported in Cal-Adapt (Radke et al., 2017, CEC-500-2017-008), and consider inundation location and depth for the San Francisco Bay, the Sacramento-San Joaquin River Delta and California coast resulting different increments of sea level rise coupled with extreme storm events. Users may select from four scenarios to view the range in potential inundation depth for the grid cell. The four scenarios are: No rise, 0.5 meter, 1.0 meter, 1.41 meters Wildfire data are for the grid cell in which your project are located. The projections are from UC Davis, as reported in Cal-Adapt (2040–2059 average under RCP 8.5), and consider historical data of climate, vegetation, population density, and large (> 400 ha) fire history. Users may select from four model simulations to view the range in potential wildfire probabilities for the grid cell. The four simulations make different assumptions about expected rainfall and temperature are: Warmer/drier (HadGEM2-ES), Cooler/wetter (CNRM-CM5), Average conditions (CanESM2), Range of different rainfall and temperature possibilities (MIROC5). Each grid cell is 6 kilometers (km) by 6 km, or 3.7 miles (mi) by 3.7 mi.

6.2. Initial Climate Risk Scores
Climate Hazard Exposure Score Sensitivity Score Adaptive Capacity Score Vulnerability Score Temperature and Extreme Heat N/A N/A N/A N/A
Extreme Precipitation N/A N/A N/A N/A
Sea Level Rise 1 0 0 N/A
Wildfire 1 0 0 N/A
Flooding 0 0 0 N/A
Drought N/A N/A N/A N/A
Snowpack Reduction N/A N/A N/A N/A
Air Quality Degradation N/A N/A N/A N/A
The sensitivity score reflects the extent to which a project would be adversely affected by exposure to a climate hazard. Exposure is rated on a scale of 1 to 5, with a score of 5 representing the greatest exposure.
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The adaptive capacity of a project refers to its ability to manage and reduce vulnerabilities from projected climate hazards. Adaptive capacity is rated on a scale of 1 to 5, with a score of 5 representing the greatest ability to adapt.

6.3. Adjusted Climate Risk Scores
Climate Hazard Exposure Score Sensitivity Score Adaptive Capacity Score Vulnerability Score Temperature and Extreme Heat N/A N/A N/A N/A
Extreme Precipitation N/A N/A N/A N/A
Sea Level Rise 1 1 1 2
Wildfire 1 1 1 2
Flooding 1 1 1 2
Drought N/A N/A N/A N/A
Snowpack Reduction N/A N/A N/A N/A
Air Quality Degradation N/A N/A N/A N/A
The sensitivity score reflects the extent to which a project would be adversely affected by exposure to a climate hazard. Exposure is rated on a scale of 1 to 5, with a score of 5 representing the greatest exposure.

The overall vulnerability scores are calculated based on the potential impacts and adaptive capacity assessments for each hazard. Scores include implementation of climate risk reduction measures.

6.4. Climate Risk Reduction Measures

7. Health and Equity Details

7.1. CalEnviroScreen 4.0 Scores
The maximum CalEnviroScreen score is 100. A high score (i.e., greater than 50) reflects a higher pollution burden compared to other census tracts in the state.

Indicator Result for Project Census Tract
Exposure Indicators —
AQ-Ozone 38
AQ-PM 28
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AQ-DPM 62
Drinking Water 30
Lead Risk Housing 49
Pesticides 54
Toxic Releases 32
Traffic 41
Effect Indicators —
CleanUp Sites 62
Groundwater 38
Haz Waste Facilities/Generators 64
Impaired Water Bodies 90
Solid Waste 85
Sensitive Population —
Asthma 4.2
Cardio-vascular 13
Low Birth Weights 65
Socioeconomic Factor Indicators —
Education 83
Housing 70
Linguistic 90
Poverty 92
Unemployment 5.6

Indicator Result for Project Census Tract
Economic —
Above Poverty 23.27730014
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Employed 43.12844861
Median HI 34.33850892
Education —
Bachelor's or higher 15.47542666
High school enrollment 19.24804312
Preschool enrollment 29.86013089
Transportation —
Auto Access 98.98626973
Active commuting 49.33915052
Social —
2-parent households 34.54382138
Voting 48.659053
Neighborhood —
Alcohol availability 44.5528038
Park access 10.72757603
Retail density 39.86911331
Supermarket access 47.37585012
Tree canopy 21.32683177
Housing —
Homeownership 33.61991531
Housing habitability 43.23110484
Low-inc homeowner severe housing cost burden 29.79597074 Low-inc renter severe housing cost burden 63.30039779
Uncrowded housing 33.53009111
Health Outcomes —
Insured adults 4.157577313
Arthritis 64.8
Asthma ER Admissions 96.3
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High Blood Pressure 83.5
Cancer (excluding skin) 80.0
Asthma 25.7
Coronary Heart Disease 57.7
Chronic Obstructive Pulmonary Disease 27.0
Diagnosed Diabetes 38.1
Life Expectancy at Birth 31.7
Cognitively Disabled 44.8
Physically Disabled 80.2
Heart Attack ER Admissions 96.4
Mental Health Not Good 16.4
Chronic Kidney Disease 45.1
Obesity 26.2
Pedestrian Injuries 42.6
Physical Health Not Good 25.9
Stroke 51.7
Health Risk Behaviors —
Binge Drinking 22.7
Current Smoker 18.8
No Leisure Time for Physical Activity 21.7
Climate Change Exposures —
Wildfire Risk 0.0
SLR Inundation Area 0.0
Children 16.3
Elderly 90.0
English Speaking 5.3
Foreign-born 72.2
Outdoor Workers 23.3
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Climate Change Adaptive Capacity —
Impervious Surface Cover 45.9
Traffic Density 80.5
Traffic Access 23.0
Other Indices —
Hardship 65.3
Other Decision Support —
2016 Voting 53.3

7.3. Overall Health & Equity Scores
Metric Result for Project Census Tract
CalEnviroScreen 4.0 Score for Project Location (a) 60
Healthy Places Index Score for Project Location (b) 27
Project Located in a Designated Disadvantaged Community (Senate Bill 535) No Project Located in a Low-Income Community (Assembly Bill 1550) Y es Project Located in a Community Air Protection Program Community (Assembly Bill 617) No a: The maximum CalEnviroScreen score is 100. A high score (i.e., greater than 50) reflects a higher pollution burden compared to other census tracts in the state. b: The maximum Health Places Index score is 100. A high score (i.e., greater than 50) reflects healthier community conditions compared to other census tracts in the state.

7.4. Health & Equity Measures
No Health & Equity Measures selected.

7.5. Evaluation Scorecard
Health & Equity Evaluation Scorecard not completed.

7.6. Health & Equity Custom Measures
No Health & Equity Custom Measures created.

8. User Changes to Default Data
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8.1. Justifications
Screen Justification
Land Use Land uses assumed in the 2022 RAQS
1305

ATTACHMENT D.3

LOCAL TRANSPORTATION ANALYSIS
1306

LOCAL TRANSPORTATION ANALYSIS

SANTA FE FLORES TOWNHOMES PROJECT
San Marcos, California
February 2026
LLG Ref
. 3-24-3940
Prepared by: Under the Supervision of:

Amelia Giacalone John Boarman, P.E.

Senior Transportation Planner Principal
&
Zahira Chayeb
Transportation Engineer II
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EXECUTIVE SUMMARY
Linscott, Law & Greenspan, Engineers (LLG) has prepared the following Local Transportation Analysis (LTA) to determine and evaluate the potential effects to the local roadway system due to the proposed Santa Fe Flores Townhomes project (proposed Project). The Project is located in the city of San Marcos at 2966, 2972 and 2982 South Santa Fe Avenue adjacent to North Las Flores Drive on assessor parcel numbers 217-161-1800, 217-161-1900 and a portion of 217-161-1700. The

2.6-acre Project site is undeveloped and is currently designated Commercial and Light Industrial in the City General Plan and zoned as Commercial and Light Industrial. The P roject would be located on a previously graded site and require a General Plan amendment and Rezone to Multifamily Residential to allow the development of 46 multi-family residential units.

The Project is calculated to generate a total of 368 ADT with 29 AM peak hour trips (6 inbound / 23 outbound) and 37 PM peak hour trips (26 inbound and 11 outbound).

While Level of Service (LOS) analysis is not used to determine CEQA significance, t he intersection and segment analysis provided in this study shows that the Project will not have a ny substantial effects at the study area intersections and street segments. Additionally, The LTA shows that the Project will add a small amount of traffic to the intersection of S. Santa Fe Avenue / Smilax Road, which operates below City standards. However, the Project contributes only 0.58% (20 trips) of the total combined AM and PM peak hour traffic to this intersection under Near- Term conditions. The existing traffic conditions at this location are already substandar d. The provision of a traffic signal would result in acceptable LOS D o r better operations. A traffic signal is planned at th e S. Santa Fe Avenue / Smilax Road intersection as part o f the City’s Capital Improvement Project (C IP) 88179 (IP 4750).
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LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx ii

TABLE OF CONTENTS

SECTION PAGE

1.0 Introduction ................................................................................................................................ 1

2.0 Project Description .................................................................................................................... 2

3.0 Existing Conditions .................................................................................................................... 6

3.1 Existing Street Network ...................................................................................................... 6

3.2 Existing Traffic Volumes .................................................................................................... 7

4.0 Local Transportation Analysis Approach and Methodology .............................................. 10

4.1 Study Scenarios ................................................................................................................. 10

4.2 Methodology ..................................................................................................................... 10

4.2.1 Intersections .......................................................................................................... 10

4.2.2 Street Segments ..................................................................................................... 10

4.3 Level of Service Standards ............................................................................................... 10

5.0 Analysis of Existing Conditions .............................................................................................. 12

5.1 Peak Hour Intersection Levels of Service ......................................................................... 12

5.2 Daily Street Segment Levels of Service ........................................................................... 12

6.0 Near-Term (Interim Year 2027) Conditions ......................................................................... 15

6.1 Network Conditions .......................................................................................................... 15

6.2 Near-Term (Interim Year 2027) Traffic Volumes ............................................................ 15

7.0 Trip Generation/Distribution/Assignment ............................................................................ 17

7.1 Trip Generation ................................................................................................................. 17

7.1.1 Trip Rates .............................................................................................................. 17

7.1.2 Project Trips .......................................................................................................... 17

7.2 Trip Distribution and Assignment .................................................................................... 17

8.0 Analysis of Near-Term Scenarios ........................................................................................... 22

8.1 Near-Term Without Project .............................................................................................. 22

8.1.1 Intersection Analysis ............................................................................................. 22

8.1.2 Segment Operations .............................................................................................. 22

8.2 Near-Term + Project ......................................................................................................... 22

8.2.1 Intersection Analysis ............................................................................................. 22

8.2.2 Segment Operations .............................................................................................. 22

9.0 Long-Term (Year 2050) Conditions ....................................................................................... 26

9.1 Long-Term (Year 2050) Network Conditions .................................................................. 26

9.2 Long-Term (Year 2050) Traffic Volumes ........................................................................ 26 1309

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx iii

9.3 Existing and Proposed Zoning .......................................................................................... 26

10.0 Analysis of Long-Term Scenarios........................................................................................... 30

10.1 Long-Term Without Project .............................................................................................. 30

10.1.1 Intersection Analysis ............................................................................................. 30

10.1.2 Segment Operations .............................................................................................. 30

10.2 Long-Term + Project ........................................................................................................ 30

10.2.1 Intersection Analysis ............................................................................................. 30

10.2.2 Segment Operations .............................................................................................. 30

11.0 Active Transportation Review ................................................................................................ 34

11.1 Bicycle Network ............................................................................................................... 34

11.2 Pedestrian Conditions ....................................................................................................... 34

11.3 Existing Transit Conditions .............................................................................................. 35

12.0 Access Assessment .................................................................................................................... 36

13.0 Conclusions ............................................................................................................................... 39

APPENDICES

APPENDIX
A. Intersection and Segment Count Sheets
B. City of San Marcos Roadway Classification Table
C. Existing Analysis Worksheets
D. K&D Factors Definitions
E. Travel Route Maps
F. Near-Term Analysis Worksheets
G. Near-Term + Project Analysis Worksheets
H. Long-Term Analysis Worksheets
I. Long-Term + Project Analysis Worksheet
J. Sight Distance Exhibit
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N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx iv

LIST OF FIGURES
SECTION—FIGURE # PAGE
Figure 2–1 Vicinity Map ................................................................................................................. 3 Figure 2–2 Project Area Map .......................................................................................................... 4 Figure 2–3 Project Site Plan ............................................................................................................ 5 Figure 3–1 Existing Conditions Diagram ........................................................................................ 8 Figure 3–2 Existing Traffic Volumes .............................................................................................. 9 Figure 6–1 Near-Term without Project Traffic Volumes .............................................................. 16 Figure 7–1 Project Traffic Distribution ......................................................................................... 19 Figure 7–2 Project Traffic Volumes .............................................................................................. 20 Figure 7–3 Near-Term + Project Traffic Volumes ........................................................................ 21 Figure 9–1 Long-Term without Project Traffic Volumes ............................................................. 28 Figure 9–2 Long-Term + Project Traffic Volumes ....................................................................... 29 Figure 12–1 Pre & Post Project Site Driveway Traffic Volumes ................................................... 38

LIST OF TABLES
SECTION—TABLE # PAGE
Table 5–1 Existing Intersection Operations ........................................................................................ 13 Table 5–2 Existing Street Segment Operations .................................................................................. 14 Table 7-1 Project Trip Generation ...................................................................................................... 18 Table 8–1 Near-Term Intersection Operations ................................................................................... 24 Table 8–2 Near-Term Street Segment Operations .............................................................................. 25 Table 9-1 Trip Generation Comparison .............................................................................................. 27 Table 10–1 Long-Term Intersection Operations ................................................................................. 32 Table 10–2 Long-Term Street Segment Operations ........................................................................... 33 Table 12-1 Santa Fe Las Flores Trip Generation ................................................................................ 36 Table 12-2 Access Driveway Operations ........................................................................................... 37 Table 12-3 Gourmet Liquor Driveway Counts ................................................................................... 37

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LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 1 LOCAL TRANSPORTATION ANALYSIS

SANTA FE FLORES TOWNHOMES PROJECT
San Marcos, California
December 2025

1.0 INTRODUCTION
Linscott, Law & Greenspan, Engineers (LLG) has prepared the following Local Transportation Analysis (LTA) for the proposed Santa Fe Flores Townhomes project (proposed Project) located at 2966, 2972 and 2982 S. Santa Fe Avenue on the northwest corner of the S. Santa Fe Avenue / N. Las Flores Drive intersection in the City of San Marcos.

Transportation impact analyses within the City of San Marcos includes two sets of requirements.  CEQA Analysis primarily consisting of Vehicle Miles Traveled (VMT) analysis. Impacts to pedestrians, bicyclists, transit, hazards, and emergency access are also addressed. This is addressed under a separate cover.
 Non-CEQA Local Transportation Analysis to evaluate the effects of a development project on the circulation network. The analysis is used to determine consistency with the City’s General Plan.

The following items are included in this transportation study:
 Project Description
 Existing Conditions Discussion
 Local Transportation Analysis Approach and Methodology  Analysis of Existing Conditions
 Near-Term Conditions Discussion
 Trip Generation, Distribution, and Assignment
 Analysis of Near-Term Scenarios
 Long-Term Conditions Discussion
 Analysis of Long-Term Scenarios
 Active Transportation Review
 Access Assessment
 Conclusions

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LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 2 2.0 PROJECT DESCRIPTION
The Project is located in the city of San Marcos at 2966, 2972 and 2982 South Santa Fe Avenue adjacent to North Las Flores Drive on assessor parcel numbers 217 -161-1800, 217-161-1900 and 217-161-1700. The 2.6-acre Project site is undeveloped and is currently designated Commercial and Light Industrial in the City General Plan and zoned as Commercial and Light Industrial. The P roject would be located on a previously graded site and require a General Plan amendment and Rezone to Multifamily Residential to allow the development of 46 multi-family residential units that would be 3 stories in height.

Access to the site will be provided via a single right-in/right-out only driveway on S. Santa Fe Avenue.

Figure 2–1 shows the vicinity map. Figure 2–2 shows a more detailed project area map. Figure 2–3 shows the conceptual site plan for the Project.
1313
S.D.

COUNTY

CARLSBAD

CORONADO

ENCINITAS
SOLANA
BEACH

CHULA VISTA

OCEANSIDE
VISTA

SAN MARCOS
POWAY
SANTEE

EL CAJON

LA MESA
LEMON
GROVE

NATIONAL
CITY

SAN DIEGO
S.D. COUNTYS.D. COUNTY

ESCONDIDO
Time: 1:59 PM
Date: 11/24/2025
N:\3940\Figures
Vicinity Map
Figure 2-1
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Santa Fe Flores Townhomes
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1314
Project Area Map
Santa Fe Flores Townhomes
N:\3940\Figures Figure 2-2
Project
Site
78 Date: 11/26/25
1315
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540
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XXXXXXXXXXXXXXXXXXXXXXXXXXXX
TOWNHOME 1OME 1TOWNOW
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FF=500.00FF=
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FF=500.000.0051051055
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6-PLEX6-PL
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HT=5.0'

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HT=6.0'

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HT=5.0'
GRAPHIC SCALE: 1" =
0 20' 40' 60'

BUILDINGS & PRIVATE ROADS

REMEDIAL EARTHWORK STUDY
PLSA JOB NUMBER : 3527
SCALE : 1"=20'
DATE : 10/3/2024
SHEET 1 OF 1
TOWNHOME 7
TOWNHOME 5 & 6
TOWNHOME NO.

TOWNHOME 1 & 2
TOWNHOME 3 & 4

OVEREXCAVATION AREA
8,483 SF (10' OFFSET FROM BUILDING)
16,288 SF (10' OFFSET FROM BUILDING)
16,045 SF (10' OFFSET FROM BUILDING)
20,317 SF (10' OFFSET FROM BUILDING)
RAW REMEDIAL OVEREXCAVATION VOLUME*
1,571 CY **
3,016 CY **
2,971 CY **
11,320 CY **
3,762 CY **
* RAW REMEDIAL OVERXCAVATION QUANTITIES ARE ESTIMATES ONLY. CONTRACTOR/OWNER SHALL NOT RELY UPON QUANTITIES FOR BID PURPOSES. CONTRACTOR/OWNER TO VERIFY EARTHWORK QUANTITIES TO THEIR SATISFACTION. ** RAW OVEREXCAVATION VOLUMES FOR BUILDINGS AND ROADS ASSUMES 5' DEEP OVEREXCAVATION PER GEOTECHNICAL ENGINEER'S RECOMMENDATIONS IN GEOCON'S GEOTECHNICAL INVESTIGATION FOR PROJECT NO. G3355-42-01 DATED AUGUST 12, 2024.

LEGEND

PROPERTY LINE

APPROXIMATE LIMITS OF BUILDING REMEDIAL OVEREXCAVATION
TOTAL BUILDING OVEREXCAVATION VOLUME:

PRIVATE ROADS

ALL PRIVATE ROADS

OVEREXCAVATION AREA
28,590 SF (5' OFFSET FROM EDGE OF ROAD)
RAW REMEDIAL OVEREXCAVATION VOLUME*
5,294 CY **

APPROXIMATE LIMITS OF PRIVATE ROAD REMEDIAL OVEREXCAVATION Project Site Plan
Figure 2-3
Santa Fe Flores Townhomes
N:\3940\Figures
Date: 11/26/25
90’
Distance to
nearestBus Stop
Existin
g
Sidewalk
Existin
g
Bike Lane
Existin
g
Sidewalk
N. Las Flores Drive
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LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 6 3.0 EXISTING CONDITIONS
Effective evaluation of the traffic impacts associated with the proposed project requires an understanding of the existing transportation system within the project area. Figure 3 –1 shows an existing conditions diagram, including signalized intersections and lane configurations. The study area includes the following intersections and street segments based on the anticipated distribution of the project traffic:

Intersections:

1. S. Santa Fe Avenue / Smilax Road

2. S. Santa Fe Avenue / Bosstick Boulevard

3. S. Santa Fe Avenue / Community Drive

4. S. Santa Fe Avenue / N. Las Flores Drive

5. N. Las Flores Drive / Hollencrest Road

6. S. Santa Fe Avenue (W. Mission Road) / N. Rancho Santa Fe Road

7. Capalina Road / Hollencrest Road

8. N. Rancho Santa Fe Road / Capalina Road

Segments:

S. Santa Fe Avenue

1. Smilax Road to Bosstick Boulevard

2. Bosstick Boulevard to Community Drive

3. Community Drive to N. Las Flores Drive

4. N. Las Flores Drive to N. Rancho Santa Fe Road

5. N. Rancho Santa Fe Road to N. Pacific Street
Hollencrest Road

6. De Leone Road to Hollenbeck Road

N. Rancho Santa Fe Road

7. S. Santa Fe Avenue to Capalina Road

3.1 Existing Street Network
The principal roadways in the project study area are described briefly below. Roadway classification was determined from a review of the City of San Marcos Mobility Element and information gathered from field observations.

S. Santa Fe Avenue is currently constructed as a 2 -lane undivided roadway north of Bosstick Boulevard, and as a 4 -lane divided roadway south of Bosstick Boulevard. The posted speed limit is 45 mph. On- street parking is prohibited. Class II bike lanes are provided. S. Santa Fe Avenue is classified as a 4 -Lane Arterial with Enhanced Bicycle/Pedestrian Facilities on the City’s Mobility Element.
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LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 7 N. Las Flores Drive is constructed as a 2 -lane undivided roadway. The posted speed limit is 25 mph. On-street parking is permitted on both sides of the roadway south of S. Santa Fe Avenue, and prohibited north of S. Santa Fe Avenue . No bicycle facilities are present. N . Las Flores Drive is unclassified on the City’s Mobility Element.

N. Rancho Santa Fe Road is constructed as a 4-lane divided roadway. The posted speed limit is 40 mph. On-street parking is prohibited. Class II bike lanes are provided. Within the Project study area, N. Rancho Santa Fe Road is classified as a 4 -lane Arterial with Class II or III Bicycle Facilities and Sidewalks on the City’s Mobility Element.

Capalina Road is constructed as a 2-lane undivided roadway west of Hollenbeck Road, and as a 2- lane undivided roadway with a two- way left-turn lane east of Hollenbeck Road. The posted speed limit is 25 mph . On-street parking is generally permitted on both sides of the roadway west of N.

Rancho Santa Fe Road and prohibited on both sides of the roadway east of N. Rancho Santa Fe Road. Sidewalks are provided. There are no bicycle facilities present. Capalina Road is unclassified on the City’s Mobility Element.

3.2 Existing Traffic Volumes
Average daily traffic (ADT) volumes and peak hour (7:00- 9:00 AM and 4:00-6:00 PM) intersection turning movement counts, including bicycle and pedestrian counts, were conducted in February 2022 within the Project study area.

Figure 3–2 shows the Existing Traffic Volumes. Appendix A contains the manual count sheets. 1318
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LasFloresDr
HollenbeckRd
SmilaxRd
HollencrestRd
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CommunityDr
N LasFlores Dr
Capalina Rd
N Rancho Santa Fe Rd WMissionRd
S Santa FeAve
1 2
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6 7
8 3
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Time: 1:11 PM
Date: 11/24/2025
N:\3940\Figures
Existing Conditions Diagram
Figure 3-1
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Hollencrest Rd
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N. Rancho
Santa Fe Rd
S. Santa Fe Ave
S. Santa Fe Ave
S. Santa Fe Ave
S. Santa Fe Ave
S. Santa Fe Ave
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Smilax Rd
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2U+25mph
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40mph
BLBL
Study Intersection
Traffic Signal
Stop Sign
Turning Movements
Number of Travel Lanes
Posted Speed Limit
Divided / Undivided Roadway
Two-Way Left-Turn Median
Bike Lane
#
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DJL
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HollenbeckRd
SmilaxRd
HollencrestRd
Capalina Rd
BosstickBlvd
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N LasFlores Dr
Capalina Rd
N Rancho Santa Fe Rd WMissionRd
S Santa FeAve
13,500
11,730
560
16,660
16,660
14,600
14,850
1 2
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6 7
8 3
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Time: 1:12 PM
Date: 11/24/2025
N:\3940\Figures
Existing Traffic Volumes
Figure 3-2
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Santa Fe Flores Townhomes
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L D
LD J L
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Capalina Rd
Hollencrest Rd
Hollencrest Rd
N. Rancho Santa Fe Rd
S. Santa Fe Ave
S. Santa Fe Ave
N. Rancho Santa Fe Rd
Smilax Rd Springdale Ex. Dwy
Bosstick Rd
Capalina Rd
Community DrLas Flores Dr
Las Flores Dr
S. Santa Fe Ave
S. Santa Fe Ave
S. Santa Fe Ave
W. Mission Rd
283 / 525147 / 225
215 / 156
398 / 641
91 / 103
239 / 143
78 / 14
69 / 93
35 / 82
22 / 11
21 / 39
6 / 11
10 / 7
493 / 622
86 / 38
466 / 877
601 / 720
10 / 37
7 / 4
9 / 6
662 / 1,034
6 / 6
38 / 34
11 / 2
127 / 53
35 / 54
34 / 79
494 / 591
44 / 35
29 / 20
2 / 1
40 / 4027 / 71
511 / 878
61 / 77
12 / 31
25 / 11
7 / 3
4 / 5
51 / 54
273 / 206
400 / 717
336 / 376
116 / 15486 / 333
236 / 344
5 / 3
104 / 33
48 / 80
67 / 153
187 / 100
0 / 2
6 / 21
361 / 344
12 / 13
17 / 21
12 / 33
85 / 84
115 / 101
327 / 624
154 / 195231 / 109
16 / 22
5 / 7
1 2 3 4
8 7
65 Study Intersections
Intersection AM / PM Peak Hour Volumes
#
DJL
XX,XXX Street Segment ADT
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N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 10 4.0 LOCAL TRANSPORTATION ANALYSIS APPROACH AND METHODOLOGY

4.1 Study Scenarios
The following scenarios were analyzed:
 Existing Conditions.
 Near-Term (Interim Year) Conditions are based on the SANDAG pre-established interim year scenario closest to the project’s anticipated opening year.  Near-Term (Interim Year) Plus Project Conditions include project-generated traffic added to interim year volumes.
 Long-Term (Year 2050) Conditions with the current zoning.  Long-Term (Year 2050) Plus Project (with proposed zoning).

4.2 Methodology
Level of service (LOS) is the term used to denote the different operating conditions which occur on a given roadway segment under various traffic volume loads. It is a qualitative measure used to describe a quantitative analysis taking into account factors such as roadway geometries, signal phasing, speed, travel delay, freedom to maneuver, and safety. Level of service provides an index to the operational qualities of a roadway segment or an intersection. Level of service designations range from A to F, with LOS A representing the best operating conditions and LOS F representing the worst operating conditions. Level of service designation is reported differently for signalized and unsignalized intersections, as well as for roadway segments.

4.2.1 Intersections
Signalized intersections were analyzed under AM and PM peak hour conditions. Average vehicle delay was determined utilizing the methodology found in Chapter 19 of the Highway Capacity Manual 6
th Edition (HCM 6), with the assistance of the Synchro 10 computer software. The delay values (represented in seconds) were qualified with a corresponding intersection Level of Service (LOS).

Unsignalized intersections were analyzed under AM and PM peak hour conditions. Average vehicle delay and Levels of Service (LOS) was determined based upon the procedures found in Chapter 20 and Chapter 21 of the HCM 6 with the assistance of the Synchro 10 computer software.

4.2.2 Street Segments
Street segment analysis is based upon the comparison of daily traffic volumes (ADTs ) to the City of San Marcos’s Roadway Classification, Level of Service, and ADT Table . This table provides segment capacities for different street classifications, based on traffic volumes and roadway characteristics. The City of San Marcos’s Roadway Classification, Level of Service, and ADT Table is attached in Appendix B.

4.3 Level of Service Standards
The City of San Marcos strives to maintain intersection and roadway segment operations based on LOS standards outlined in the General Plan Mobility Element. If the addition of the traffic generated 1321

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N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 11 from a proposed project results in any one of the following, improvements should be identified to increase performance to acceptable or pre-project conditions under each scenario:
 Triggers an intersection operating at acceptable LOS to operate at unacceptable LOS and increases the delay by more than 2.0 seconds.
 Increases the delay for a study intersection that is already operating at unacceptable LOS by more than 2.0 seconds.
 Triggers a roadway segment operating at acceptable LOS to operate at unacceptable LOS and increases the volume/capacity (V/C) ratio by more than 0.02.  Increases the V/C ratio for a study roadway segment that is already operating at unacceptable LOS by more than 0.02.
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N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 12 5.0 ANALYSIS OF EXISTING CONDITIONS

5.1 Peak Hour Intersection Levels of Service
Table 5–1 summarizes the peak hour intersection operations under Existing conditions. As seen in Table 5–1, the study intersections are calculated to operate acceptably at LOS D or better, with the exception of S. Santa Fe Avenue / Smilax Road, where the minor -street left -turn movement is calculated to operate at LOS F.

Appendix C contains the Existing intersection analysis worksheets.

5.2 Daily Street Segment Levels of Service
Table 5–2 summarizes the street segment operations under Existing conditions. As seen in Table 5– 2, the study street segments are calculated to operate acceptably at LOS D or better with the exception of S. Santa Fe Avenue between Smilax Road and Bosstick Boulevard, which is calculated to operate at LOS F.

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LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 13 TABLE 5–1

EXISTING INTERSECTION OPERATIONS
Intersection Control
Type
Peak
Hour
Existing
Delaya LOSb

1. S. Santa Fe Avenue / Smilax Road MSSCc AM >100 F
PM >100 F

2. S. Santa Fe Avenue / Bosstick Boulevard Signal AM 16.7 B PM 17.3 B

3. S. Santa Fe Avenue / Community Drive MSSC AM 17.3 C
PM 32.6 D

4. S. Santa Fe Avenue / N. Las Flores Drive Signal AM 18.6 B PM 19.9 B

5. N. Las Flores Drive / Hollencrest Road MSSC AM 8.9 A PM 8.9 A

6. S. Santa Fe Avenue (W. Mission Road) / N.

Rancho Santa Fe Rd Signal
AM 12.7 B
PM 14.5 B

7. Capalina Road / Hollencrest Road MSSC AM 11.7 B
PM 10.9 B

8. N. Rancho Santa Fe Rd / Capalina Road Signal AM 29.3 C PM 28.6 C

Footnotes:
a. Average delay expressed in seconds per vehicle.
b. Level of Service.
c. MSSC = Minor-Street Stop Controlled intersection. Worst-case movement level of service reported.

SIGNALIZED UNSIGNALIZED

DELAY/LOS THRESHOLDS DELAY/LOS THRESHOLDS
Delay LOS Delay LOS

0.0 ≤ 10.0 A 0.0 ≤ 10.0 A

10.1 to 20.0 B 10.1 to 15.0 B

20.1 to 35.0 C 15.1 to 25.0 C

35.1 to 55.0 D 25.1 to 35.0 D

55.1 to 80.0 E 35.1 to 50.0 E
≥ 80.1 F ≥ 50.1 F

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LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 14 TABLE 5–2

EXISTING STREET SEGMENT OPERATIONS
Street Segment Classification Capacity
(LOS E) a ADT b LOS c V/C d
S. Santa Fe Avenue

1. Smilax Road to Bosstick
Boulevard 2-Lane Collector 8,000 14,850 F 1.856

2. Bosstick Boulevard to
Community Drive
4-Lane Arterial with Class
II or Class III Bike Lanes 40,000 16,660 B 0.417

3. Community Drive to N. Las
Flores Drive
4-Lane Arterial with Class
II or Class III Bike Lanes 40,000 16,660 B 0.417

4. N. Las Flores Drive to N. Rancho
Santa Fe Road
4-Lane Arterial with Class
II or Class III Bike Lanes 40,000 14,600 A 0.365

5. N. Rancho Santa Fe Road to N.

Pacific Street
4-Lane Arterial with Class
II or Class III Bike Lanes 40,000 13,500 A 0.338

Hollencrest Road

6. De Leone Road to Hollenbeck
Road 2-Lane Sub-Collector 2,200e 560 +C 0.070

N. Rancho Santa Fe Road

7. S. Santa Fe Avenue to Capalina
Road
4-Lane Arterial with Class
II or Class III Bike Lanes 40,000 11,730 A 0.293
Footnotes:
a. Capacities based on based on the City of San Marcos’ Roadway Classifications, Capacity, and LOS (see Appendix B). b. Average Daily Traffic Volumes.
c. Level of Service.
d. Volume to Capacity.
e. Levels of service are not applied to residential streets since their primary purpose is to serve abutting lots, not carry through traffic. Per the City of San Marcos’ Roadway Classifications, Capacity, and LOS, the LOS C capacity of a Sub-Collector is 2,200 ADT. 1325

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 15 6.0 NEAR-TERM (INTERIM YEAR 2027) CONDITIONS
This section describes Near -Term (Interim Year 2027) roadway network and traffic volume conditions. Year 2027 was selected as the closest to the opening year of the proposed Project , based on SANDAG’s pre-established interim year scenarios.

6.1 Network Conditions
The existing street system as illustrated in Figure 3 –1 is assumed for Near -Term (Interim Year 2025) conditions with no assumed improvements within the study area.

6.2 Near-Term (Interim Year 2027) Traffic Volumes
To forecast future traffic volumes for Near- Term (Interim Year 2027) conditions, the SANDAG ABM2+ model was first utilized to forecast Year 2050 volumes. Year 2027 traffic volumes were then developed based on an interpolation between Existing and Year 2050 traffic volumes. The forecasted ADT volumes were then used to calculate peak hour volumes based partially on the existing relationship between ADT and peak hour volumes.

Several other traffic engineering principles and factors such as the K -factor (the proportion of daily volume that occurs during the peak period) and D -factor (the directional split of the traffic volumes) were also considered in the forecast analysis (see Appendix D for definitions). The forecast volumes were also checked for consistency between intersections, where no driveways or roadways exist between intersections, and were compared to existing volumes for accuracy.

Figure 6–1 illustrates the peak hour and ADT segment volumes under the Near-Term scenario. 1326
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LasFloresDr
HollenbeckRd
SmilaxRd
HollencrestRd
Capalina Rd
BosstickBlvd
CommunityDr
N LasFlores Dr
Capalina Rd
N Rancho Santa Fe Rd WMissionRd
S Santa FeAve
14,650
12,730
610
18,080
18,080
15,840
16,110
1 2
4 5
6 7
8 3
"Ã78
Time: 1:14 PM
Date: 11/24/2025
N:\3940\Figures
Near-Term without Project Traffic Volumes
Figure 6-1
[
Santa Fe Flores Townhomes
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Hollencrest Rd
Hollencrest Rd
N. Rancho Santa Fe Rd
S. Santa Fe Ave
S. Santa Fe Ave
N. Rancho Santa Fe Rd
Smilax Rd Springdale Ex. Dwy
Bosstick Rd
Capalina Rd
Community DrLas Flores Dr
Las Flores Dr
S. Santa Fe Ave
S. Santa Fe Ave
S. Santa Fe Ave
W. Mission Rd
307 / 572160 / 246
237 / 173
434 / 698
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42 / 4228 / 74
530 / 912
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289 / 217
427 / 766
358 / 402
126 / 16894 / 361
249 / 365
6 / 4
105 / 34
48 / 82
68 / 156
189 / 102
0 / 2
7 / 23
386 / 368
13 / 14
19 / 23
13 / 34
86 / 85
118 / 103
349 / 666
157 / 198234 / 111
17 / 23
6 / 8
1 2 3 4
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65 Study Intersections
Intersection AM / PM Peak Hour Volumes
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1327

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 17 7.0 TRIP GENERATION/DISTRIBUTION/ASSIGNMENT
As described in Section 2, the proposed Project would provide 46 multi-family dwelling units . The following is a discussion of the traffic expected to be generated by the Project.

7.1 Trip Generation

7.1.1 Trip Rates
Trip generation for the Project’s multi-family housing was estimated using trip rates from SANDAG’s (Not So) Brief Guide of Vehicular Traffic Generation Rates for the San Diego Region, April 2002. The trip generation rate for “Townhomes (or any multi-family 6 -20 DU/acre)” was used based on the proposed use.

7.1.2 Project Trips
Table 7–1 tabulates the total Project traffic generation. The Project is calculated to generate a total of 368 ADT with 29 AM peak hour trips ( 6 inbound / 23 outbound) and 37 PM peak hour trips ( 26 inbound and 11 outbound).

7.2 Trip Distribution and Assignment
The traffic generated by the Project was distributed and assigned based on anticipated traffic patterns to and from the site , suggested travel routes provided by Google Maps (additional information provided in Appendix E), and the Project site’s proximity to state highways and arterials.

Access to the site will be restricted to right -in/right-out movements via S. Santa Fe Avenue.

Therefore, westbound to eastbound U-turns were assumed at the S. Santa Fe Avenue / Community Drive intersection for a portion of the Project’s outbound trips and eastbound to westbound U -turns were assumed at the S. Santa Fe Avenue / N. Las Flores Drive intersection for a portion of the Project’s inbound trips.

Residents traveling to/from the SR 78 / Rancho Santa Fe Road interchange have a few route options, including traveling along N. Las Flores Drive to/from Capalina Road and/or Hollencrest Road.

Given the Project’s proposed right- in/right-out access via S. Santa Fe Avenue and a review of the suggested travel routes provided by Google Maps, this “cut -thru” route is not expected to be a major attractor of Project trips. The potential for cut -thru traffic would be much greater if access to the Project were provided via N . Las Flores Drive and residents were able to travel straight thru the traffic signal at S . Santa Fe Avenue / N. Las Flores Drive on their way to/from the interchange.

Nevertheless, to provide a conservative analysis of potential cut -thru traffic, 20% of the Project’s trips were assumed along Capalina Road and/or Hollencrest Road. This equates to 40 additional ADT on Hollencrest Road, with three (3) trips during the AM peak hour and four (4) trips during the PM peak hour.

Figure 7–1 shows the Project traffic distribution. Figure 7–2 shows the Project traffic volumes.

Figure 7–3 shows the Near-Term + Project traffic volumes. 1328

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 18 TABLE 7-1

PROJECT TRIP GENERATION
Land Use Size
Daily Trip Ends
(ADT)b AM Peak Hour PM Peak Hour
Rate a Volume % of
ADT
In:Out
Split
Volume % of
ADT
In:Out
Split
Volume
In Out Total In Out Total
Proposed Project
Townhomes c 46 DU 8 /DU 368 8% 20 : 80 6 23 29 10% 70 : 30 26 11 37 Project Total 368 6 23 29 26 11 37
Footnotes:
a. Trip rates from SANDAG's (Not So) Brief Guide of Vehicular Traffic Generation Rates for the San Diego Region b. Average Daily Trips
c. 46 DU proposed on 2.23 net-acres (about 20.1 DU/acre). Therefore, the 'Residential: Condominium (or any multi-family 6-20 DU/acre)' rate was used to calculate the Project's trip generation. 1329
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LasFloresDr
HollenbeckRd
SmilaxRd
HollencrestRd
Capalina Rd
BosstickBlvd
CommunityDr
N LasFlores Dr
Capalina Rd
N Rancho Santa Fe Rd WMissionRd
S Santa FeAve
1 2
4 5
6 7
8 3
"Ã78
Time: 1:16 PM
Date: 11/24/2025
N:\3940\Figures
Project Traffic Distribution
Figure 7-1
[
Santa Fe Flores Townhomes
j
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Capalina Rd
Hollencrest Rd
Hollencrest Rd
N. Rancho Santa Fe Rd
S. Santa Fe Ave
S. Santa Fe Ave
N. Rancho Santa Fe Rd
Smilax Rd Springdale Ex. Dwy
Bosstick Rd
Capalina Rd
Community DrLas Flores Dr
Las Flores Dr
S. Santa Fe Ave
S. Santa Fe Ave
S. Santa Fe Ave
W. Mission Rd
1 2 3 4
8 7
65 Study Intersection
Inbound Trip Distribution
Outbound Trip Distribution
Regional Trip Distribution
#
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30%
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30%
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30%
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LasFloresDr
HollenbeckRd
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BosstickBlvd
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Capalina Rd
N Rancho Santa Fe Rd
W
MissionRd
S Santa FeAve
70110
40 370
110
180
110
1 2
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8 3
"Ã78
Time: 1:19 PM
Date: 11/24/2025
N:\3940\Figures
Project Traffic Volumes
Figure 7-2
[
Santa Fe Flores Townhomes
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Capalina Rd
Hollencrest Rd
Hollencrest Rd
N. Rancho Santa Fe Rd
S. Santa Fe Ave
S. Santa Fe Ave
N. Rancho Santa Fe Rd
Smilax Rd Springdale Ex. Dwy
Bosstick Rd
Capalina Rd
Community DrLas Flores Dr
Las Flores Dr
S. Santa Fe Ave
S. Santa Fe Ave
S. Santa Fe Ave
W. Mission Rd
5 / 2
1 / 5
1 / 3
2 / 1
2 / 8
7 / 3
7 / 3
16 / 8
2 / 8 2 / 8
2 / 13
2 / 54 / 2
11 / 6
2 / 1
2 / 1
1 / 3
1 / 2
7 / 3
4 / 3
0 / 5
2 / 8
2 / 1
1 / 3
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2 / 1
7 / 3
2 / 8
2 / 5
4 / 2
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8 7
65 Study Intersections
Intersection AM / PM Peak Hour Volumes
#
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1331
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LasFloresDr
HollenbeckRd
SmilaxRd
HollencrestRd
Capalina Rd
BosstickBlvd
CommunityDr
N LasFlores Dr
Capalina Rd
N Rancho Santa Fe Rd WMissionRd
S Santa FeAve
14,720
12,840
650
18,450
18,190
16,020
16,220
1 2
4 5
6 7
8 3
"Ã78
Time: 1:21 PM
Date: 11/24/2025
N:\3940\Figures
Near-Term + Project Traffic Volumes
Figure 7-3
[
Santa Fe Flores Townhomes
J
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Capalina Rd
Hollencrest Rd
Hollencrest Rd
N. Rancho Santa Fe Rd
S. Santa Fe Ave
S. Santa Fe Ave
N. Rancho Santa Fe Rd
Smilax Rd Springdale Ex. Dwy
Bosstick Rd
Capalina Rd
Community DrLas Flores Dr
Las Flores Dr
S. Santa Fe Ave
S. Santa Fe Ave
S. Santa Fe Ave
W. Mission Rd
312 / 574161 / 249
237 / 173
435 / 703
100 / 113
263 / 156
93 / 17
82 / 110
41 / 98
23 / 13
23 / 41
7 / 13
10 / 8
524 / 657
103 / 46
492 / 930
626 / 744
26 / 46
8 / 5
9 / 7
683 / 1,072
7 / 7
40 / 35
13 / 3
131 / 54
38 / 63
35 / 81
515 / 627
47 / 36
31 / 22
3 / 3
44 / 4732 / 76
541 / 918
68 / 84
15 / 34
27 / 16
8 / 4
5 / 6
55 / 61
296 / 220
431 / 769
358 / 407
126 / 16894 / 361
251 / 373
6 / 4
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49 / 85
69 / 158
191 / 103
0 / 2
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393 / 371
13 / 14
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13 / 34
86 / 85
118 / 103
351 / 674
159 / 203238 / 113
17 / 23
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65 Study Intersections
Intersection AM / PM Peak Hour Volumes
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1332

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 22 8.0 ANALYSIS OF NEAR-TERM SCENARIOS
The following section presents the analysis of study area intersections and street segments under Near-Term conditions without and with the Project.

8.1 Near-Term Without Project

8.1.1 Intersection Analysis
Table 8–1 summarizes the intersection operations under Near-Term without Project conditions. As seen in Table 8–1, the study intersections are calculated to operate acceptably at LOS D or better with the exception of S. Santa Fe Avenue / Smilax Road, where the minor -street left-turn movement is calculated to continue to operate at LOS F.

Appendix F contains the Near-Term without Project intersection analysis calculation worksheets.

8.1.2 Segment Operations
Table 8–2 summarizes the street segment operations under Near-Term without Project conditions.

As seen in Table 8–2, the study street segments are calculated to operate acceptably at LOS D or better with the exception of S. Santa Fe Avenue between Smilax Road and Bosstick Boulevard, which is calculated to continue to operate at LOS F.

8.2 Near-Term + Project

8.2.1 Intersection Analysis
Table 8–1 summarizes the intersection operations under Near-Term + Project conditions. As seen in Table 8–1, with the addition of Project traffic, the study intersections are calculated to continue to operate acceptably at LOS D or better with the exception of the following:

S. Santa Fe Avenue / Smilax Road, where the minor- street left -turn movement is calculated to continue to operate at LOS F , and S. Santa Fe Avenue / Community Drive , where the intersection is calculated to operate at LOS E in the PM peak hour.

Based on the established Level of Service Standards outlined in Section 4.3, the Project is calculated to result in a substantial effect to the S. Santa Fe Avenue / Smilax Road intersection. Roadway improvements to address this Level of Service deficiency are proposed in Section 13.0.

The Project is not calculated to result in a substantial effect to the S. Santa Fe Avenue / Community Drive intersection as the Project does not trigger the intersection to operate at unacceptable LOS and increase the delay by more than 2.0 seconds. The Project increases the delay by 1.8 seconds.

Therefore, the Project is not calculated to result in a substantial effect to the S. Santa Fe Avenue / Community Drive intersection and no improvements are required.

Appendix G contains the Near-Term + Project intersection analysis calculation worksheets.

8.2.2 Segment Operations
Table 8–2 summarizes the street segment operations under Near-Term + Project conditions. As seen in Table 8–2, with the addition of Project traffic, the study street segments are calculated to continue 1333

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 23 to operate acceptably at LOS D or better with the exception of S. Santa Fe Avenue between Smilax Road and Bosstick Boulevard, which is calculated to continue to operate at LOS F.

The Project-related increase in the V/C ratio for the above -listed street segment already operating at an unacceptable LOS is less than the threshold of 0.02. The Project is not calculated to result in a substantial effect to the study segment and no improvements are required. 1334

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 24 TABLE 8–1

NEAR-TERM INTERSECTION OPERATIONS
Intersection Control
Type
Peak
Hour
Near-Term
Without Project
Near-Term
+ Project Δ c Substantial
Effect?
Delay a LOS b Delay LOS

1. S. Santa Fe Avenue / Smilax
Road MSSCd AM >100 F >100 F >10 Yes
PM >100 F >100 F >10 Yes

2. S. Santa Fe Avenue /
Bosstick Bouleavard Signal AM 17.8 B 17.9 B 0.1 No
PM 18.7 B 18.8 B 0.1 No

3. S. Santa Fe Avenue /
Community Drive
MSSC AM 17.5 C 18.3 C 0.8 No
PM 34.7 D 36.5 E 1.8 No

4. S. Santa Fe Avenue / N. Las
Flores Drive Signal AM 18.9 B 19.0 B 0.1 No
PM 21.1 C 21.8 C 0.7 No

5. N. Las Flores Drive /
Hollencrest Road MSSC AM 9.0 A 9.0 A 0.0 No
PM 9.0 A 9.0 A 0.0 No

6. S. Santa Fe Avenue (W.

Mission Road) / N. Rancho
Santa Fe Rd
Signal
AM 12.9 B 12.9 B 0.1 No
PM 15.3 B 15.3 B 0.0 No

7. Capalina Road / Hollencrest
Road
MSSC AM 11.7 B 11.8 B 0.1 No
PM 11.0 B 11.0 B 0.0 No

8. N. Rancho Santa Fe Rd /
Capalina Road Signal AM 30.1 C 30.7 C 0.6 No
PM 30.4 C 31.8 C 1.4 No

Footnotes:
a. Average delay expressed in seconds per vehicle.
b. Level of Service.
c. Δ denotes the increase in delay due to Project.
d. MSSC = Minor-Street Stop Controlled intersection. Worst-case level of service reported.

SIGNALIZED UNSIGNALIZED

DELAY/LOS THRESHOLDS DELAY/LOS THRESHOLDS
Delay LOS Delay LOS

0.0 ≤ 10.0 A 0.0 ≤ 10.0 A

10.1 to 20.0 B 10.1 to 15.0 B

20.1 to 35.0 C 15.1 to 25.0 C

35.1 to 55.0 D 25.1 to 35.0 D

55.1 to 80.0 E 35.1 to 50.0 E
≥ 80.1 F ≥ 50.1 F

1335

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 25 TABLE 8–2

NEAR-TERM STREET SEGMENT OPERATIONS
Street Segment Capacity
(LOS E) a
Near-Term Without
Project
Near-Term With
Project Δe Substantial
Effect?
ADT b LOS c V/C d ADT LOS V/C
S. Santa Fe Avenue

1. Smilax Road to Bosstick
Boulevard 8,000 16,110 F 2.014 16,220 F 2.028 0.014 No

2. Bosstick Boulevard to
Community Drive 40,000 18,080 B 0.452
18,190 B 0.455 0.003 No

3. Community Drive to N. Las
Flores Drive 40,000 18,080 B 0.452 18,450 B 0.461 0.009 No

4. N. Las Flores Drive to N.

Rancho Santa Fe Road 40,000 15,840 B 0.396 16,020 B 0.401 0.005 No

5. N. Rancho Santa Fe Road to N.

Pacific Street 40,000 14,650 A 0.366
14,720 A 0.368 0.002 No

Hollencrest Road

6. De Leone Road to Hollenbeck
Road 2,200
f 610 +C 0.076 650 +C 0.081 0.005 No

N. Rancho Santa Fe Road

7. S. Santa Fe Avenue to
Capalina Road 40,000 12,730 A 0.318
12,840 A 0.321 0.003 No
Footnotes:
a. Capacities based on based on the City of San Marcos’ Roadway Classifications, Capacity, and LOS (see Appendix B) b. Average Daily Traffic Volumes.
c. Level of Service.
d. Volume to Capacity.
e. Δ denotes a Project-induced increase in the Volume to Capacity (V/C) ratio. f. Levels of service are not applied to residential streets since their primary purpose is to serve abutting lots, not carry through traffic. Per the City of San Marcos’ Roadway Classifications, Capacity, and LOS, the LOS C capacity of a Sub-Collector is 2,200 ADT.

1336

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 26 9.0 LONG-TERM (YEAR 2050) CONDITIONS

9.1 Long-Term (Year 2050) Network Conditions
The Long-Term (Year 2050) street network in the SANDAG Series 14 forecast model includes changes to the roadway system in the vicinity of the study area including the planned widening of S.

Santa Fe Avenue between Smilax Road and Bosstick Boulevard to 4-lane Arterial standards per the City of San Marcos’ Mobility Element.

For the purposes of this traffic study, this network addition is assumed in the long- term traffic volumes forecast but no changes to the study area roadway geometry or intersection control as shown in Figure 3–1, were assumed.

9.2 Long-Term (Year 2050) Traffic Volumes
To forecast future traffic volumes for Long-Term (Year 2050) conditions , the SANDAG ABM2+ Model was utilized . The forecasted ADT volumes were then used to calculate peak hour volumes based partially on the existing relationship between ADT and peak hour volumes.

Figure 9–1 shows the Long Term (Year 2050) without Project traffic volumes. Figure 9–2 shows the Long Term (Year 2050) + Project traffic volumes.

9.3 Existing and Proposed Zoning
The Project si te is currently designated Commercial and Light Industrial in the City General Plan and zoned as Commercial and Light Industrial. The P roject requires a General Plan amendment and Rezone to Multifamily Residential . The Project will result in reduced traffic as compared to the current zoning. A comparison of the Project’s trip generation calculations and trip generation calculations for a conceptual development plan based on the current zoning is shown below in Table 9-1. As shown, the Project is calculated to generate approximately 180 fewer ADT as compared to the current zoning.

1337

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 27 TABLE 9-1

TRIP GENERATION COMPARISON
Land Use Size
Daily Trip Ends
(ADT)b AM Peak Hour PM Peak Hour
Rate a Volume % of
ADT
In:Out
Split
Volume % of
ADT
In:Out
Split
Volume
In Out Total In Out Total
Existing Zoning (Commercial and Light Industrial)
Industrial / Business Park
(commercial included) 2.5 Acres 200 /Acre 500 12% 80 : 20 48 12 60 12% 20 : 80 12 48 60 Proposed Project
Townhomes c 46 DU 8 /DU 368 8% 20 : 80 6 23 29 10% 70 : 30 26 11 37 Net-New Trips -132 -42 11 -31 14 -37 -23
Footnotes:
a. Trip rates from SANDAG's (Not So) Brief Guide of Vehicular Traffic Generation Rates for the San Diego Region b. Average Daily Trips
c. 46 DU proposed on 2.23 net-acres (about 20.1 DU/acre). Therefore, the 'Residential: Condominium (or any multi-family 6-20 DU/acre)' rate was used to calculate the Project's trip generation.

1338
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LasFloresDr
HollenbeckRd
SmilaxRd
HollencrestRd
Capalina Rd
BosstickBlvd
CommunityDr
N LasFlores Dr
Capalina Rd
N Rancho Santa Fe Rd WMissionRd
S Santa FeAve
24,400
16,800
830
22,200
22,200
21,300
22,200
1 2
4 5
6 7
8 3
"Ã78
Time: 1:21 PM
Date: 11/24/2025
N:\3940\Figures
Long-Term without Project Traffic Volumes
Figure 9-1
[
Santa Fe Flores Townhomes
J
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Capalina Rd
Hollencrest Rd
Hollencrest Rd
N. Rancho Santa Fe Rd
S. Santa Fe Ave
S. Santa Fe Ave
N. Rancho Santa Fe Rd
Smilax Rd Springdale Ex. Dwy
Bosstick Rd
Capalina Rd
Community DrLas Flores Dr
Las Flores Dr
S. Santa Fe Ave
S. Santa Fe Ave
S. Santa Fe Ave
W. Mission Rd
420 / 790220 / 340
340 / 250
600 / 960
140 / 160
360 / 210
160 / 30
140 / 190
70 / 170
30 / 20
30 / 50
10 / 20
10 / 10
630 / 800
180 / 80
600 / 1,130
700 / 840
10 / 40
10 / 10
10 / 10
770 / 1,200
10 / 10
50 / 40
20 / 10
150 / 60
40 / 60
40 / 90
600 / 720
60 / 40
40 / 30
10 / 10
50 / 5030 / 90
620 / 1,070
90 / 110
20 / 40
30 / 20
10 / 10
10 / 10
70 / 80
360 / 270
550 / 990
460 / 520
170 / 230130 / 490
310 / 460
10 / 10
110 / 40
50 / 90
70 / 170
200 / 11010 / 30
500 / 480
20 / 20
30 / 30
20 / 40
90 / 90
130 / 110
450 / 860
170 / 210250 / 120
20 / 30
10 / 10
1 2 3 4
8 7
65 Study Intersections
Intersection AM / PM Peak Hour Volumes
#
DJL
XX,XXX Street Segment ADT
1339
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LasFloresDr
HollenbeckRd
SmilaxRd
HollencrestRd
Capalina Rd
BosstickBlvd
CommunityDr
N LasFlores Dr
Capalina Rd
N Rancho Santa Fe Rd WMissionRd
S Santa FeAve
24,470
16,910
870
22,570
22,310
21,480
22,310
1 2
4 5
6 7
8 3
"Ã78
Time: 1:24 PM
Date: 11/24/2025
N:\3940\Figures
Long-Term + Project Traffic Volumes
Figure 9-2
[
Santa Fe Flores Townhomes
J
L
LJD D
D
D L
L D
LD J L
J
JD
LD
JL
LJ DD
LJD
LJD
LJ
J D
LD
LJ
LJ
JD
L D
L D
LJ
J
LJ D
LJD
LJD
LJ D
Capalina Rd
Hollencrest Rd
Hollencrest Rd
N. Rancho Santa Fe Rd
S. Santa Fe Ave
S. Santa Fe Ave
N. Rancho Santa Fe Rd
Smilax Rd Springdale Ex. Dwy
Bosstick Rd
Capalina Rd
Community DrLas Flores Dr
Las Flores Dr
S. Santa Fe Ave
S. Santa Fe Ave
S. Santa Fe Ave
W. Mission Rd
425 / 792221 / 343
340 / 250
601 / 965
140 / 160
362 / 211
160 / 30
140 / 190
70 / 170
30 / 20
30 / 50
10 / 20
10 / 10
637 / 803
180 / 80
602 / 1,138
707 / 843
26 / 48
10 / 10
10 / 10
772 / 1,208
10 / 10
50 / 40
20 / 10
150 / 60
42 / 68
40 / 90
602 / 733
60 / 40
40 / 30
10 / 10
52 / 5534 / 92
631 / 1,076
92 / 111
22 / 41
31 / 23
10 / 10
10 / 10
71 / 82
367 / 273
554 / 993
460 / 525
170 / 230130 / 490
312 / 468
10 / 10
112 / 41
51 / 93
71 / 172
202 / 11110 / 30
507 / 483
20 / 20
30 / 30
20 / 40
90 / 90
130 / 110
452 / 868
172 / 215254 / 122
20 / 30
10 / 10
1 2 3 4
8 7
65 Study Intersections
Intersection AM / PM Peak Hour Volumes
#
DJL
XX,XXX Street Segment ADT
1340

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 30 10.0 ANALYSIS OF LONG-TERM SCENARIOS

10.1 Long-Term Without Project

10.1.1 Intersection Analysis
Table 10–1 summarizes the intersection operations under Long-Term without Project conditions. As seen in Table 1 0–1, the study intersections are calculated to operate acceptably at LOS D or better with the exception of:
 Intersection # 1. S. Santa Fe Avenue / Smilax Road (minor-street left -turn movement calculated to operate at LOS F during the AM and PM peak hours)  Intersection #3. S. Santa Fe Avenue / Community Drive (LOS E during the PM peak hour) Appendix H contains the Long-Term without Project intersection analyses calculation worksheets.

10.1.2 Segment Operations
Table 10–2 summarizes the street segment operations under Long-Term without Project conditions.

As seen in Table 10–2, the study street segments are calculated to operate acceptably at LOS D or better with the exception of S. Santa Fe Avenue between Smilax Road and Bosstick Boulevard, which is calculated to continue to operate at LOS F:

10.2 Long-Term + Project

10.2.1 Intersection Analysis
Table 10–1 summarizes the intersection operations under Long-Term + Project conditions. As seen in Table 10–1, with the addition of Project traffic, the study intersections are calculated to continue to operate acceptably at LOS D or better with the exception of:
 Intersection #1. S. Santa Fe Avenue / Smilax Road ( minor-street left- turn movement calculated to operate at LOS F during the AM and PM peak hours)  Intersection #3. S. Santa Fe Avenue / Community Drive (LOS E during the PM peak hour):

Based on the established Level of Service Standards outlined in Section 4.3, the Project is calculated to result in a substantial effect to t he intersection of S. Santa Fe Avenue / Smilax Road. Roadway improvements to address this Level of Service deficiency are proposed in Section 13.0.

The Project-related increase in delay at the intersection of S. Santa Fe Avenue / Community Drive is less than the threshold of 2.0 seconds. The Project is not calculated to result in a substantial effect to this study intersection and no improvements are required.

Appendix I contains the Long-Term + Project intersection analyses calculation worksheets.

10.2.2 Segment Operations
Table 10–2 summarizes the segment operations under Long-Term + Project conditions. As seen in Table 10–2, with the addition of Project traffic, the study street segments are calculated to continue to operate acceptably at LOS D or better with the exception of S. Santa Fe Avenue between Smilax Road and Bosstick Boulevard, which is calculated to continue to operate at LOS F. 1341

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 31 The Project-related increase in the V/C ratio for the above -listed street segment already operating at an unacceptable LOS is less than the threshold of 0.02. The Project is not calculated to result in a substantial effect to the study segment and no improvements are required. 1342

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 32 TABLE 10–1

LONG-TERM INTERSECTION OPERATIONS
Intersection Control
Type
Peak
Hour
Long-Term
Without Project
Long-Term
With Project Δc Substantial
Effect?
Delaya LOSb Delay LOS

1. S. Santa Fe Avenue / Smilax Road MSSCd AM >100 F >100 F >10 Yes PM >100 F >100 F >10 Yes

2. S. Santa Fe Avenue / Bosstick Boulevard Signal AM 26.7 C 27.1 C 0.4 No PM 40.4 D 40.7 D 0.3 No

3. S. Santa Fe Avenue / Community Drive MSSC AM 19.8 C 20.9 C 1.1 No PM 45.9 E 47.3 E 1.4 No

4. S. Santa Fe Avenue / N. Las Flores Drive Signal AM 20.0 B 20.2 C 0.2 No PM 31.1 C 32.7 C 1.6 No

5. N. Las Flores Drive / Hollencrest Road MSSC AM 9.2 A 9.3 A 0.1 No PM 9.6 A 9.6 A 0.0 No

6. S. Santa Fe Avenue (W. Mission Road) /
N. Rancho Santa Fe Rd Signal AM 13.9 B 14.0 B 0.1 No
PM 22.1 C 22.2 C 0.1 No

7. Capalina Road / Hollencrest Road MSSC AM 12.0 B 12.1 B 0.1 No PM 11.2 B 11.3 B 0.1 No

8. N. Rancho Santa Fe Rd / Capalina Road Signal AM 36.5 D 37.4 D 0.9 No PM 41.8 D 43.7 D 1.9 No

SIGNALIZED UNSIGNALIZED

DELAY/LOS THRESHOLDS DELAY/LOS THRESHOLDS
Delay LOS Delay LOS

0.0 ≤ 10.0 A 0.0 ≤ 10.0 A

10.1 to 20.0 B 10.1 to 15.0 B

20.1 to 35.0 C 15.1 to 25.0 C

35.1 to 55.0 D 25.1 to 35.0 D

55.1 to 80.0 E 35.1 to 50.0 E
≥ 80.1 F ≥ 50.1 F

1343

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 33 TABLE 10–2

LONG-TERM STREET SEGMENT OPERATIONS
Street Segment Capacity
(LOS E) a
Long-Term Without
Project Long-Term With Project
Δe Substantial
Effect?
ADTb LOS c V/C d ADT LOS V/C
S. Santa Fe Avenue

1. Smilax Road to Bosstick
Boulevard 8,000 22,200 F 2.775 22,310 F 2.789 0.014 No

2. Bosstick Boulevard to
Community Drive 40,000 22,200 C 0.555 22,310 C 0.558 0.003 No

3. Community Drive to N.

Las Flores Drive 40,000 22,200 C 0.555 22,570 C 0.564 0.009 No

4. N. Las Flores Drive to N.

Rancho Santa Fe Road 40,000 21,300 C 0.533 21,480 C 0.537 0.004 No

5. N. Rancho Santa Fe Road
to N. Pacific Street 40,000 24,400 C 0.610 24,470 C 0.612 0.002 No

Hollencrest Road

6. De Leone Road to
Hollenbeck Road 2,200 830 +C 0.104 870 +C 0.109 0.005 No

N. Rancho Santa Fe Road

7. S. Santa Fe Avenue to
Capalina Road 40,000 16,800 B 0.420 16,910 B 0.423 0.003 No Footnotes:
a. Capacities based on based on the City of San Marcos’ Roadway Classifications, Capacity, and LOS (see Appendix B) b. Average Daily Traffic Volumes.
c. Level of Service.
d. Volume to Capacity.
e. Δ denotes a Project-induced increase in the Volume to Capacity (V/C) ratio. f. Levels of service are not applied to residential streets since their primary purpose is to serve abutting lots, not carry through traffic. Per the City of San Marcos’ Roadway Classifications, Capacity, and LOS, the LOS C capacity of a Sub-Collector is 2,200 ADT.

1344

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 34 11.0 ACTIVE TRANSPORTATION REVIEW

11.1 Bicycle Network
Currently, Class II bike lanes are provided on the following study street segments:
 S. Santa Fe Avenue , from Bosstick Boulevard to slightly south of N. Rancho Santa Fe Road (both sides); and
 N. Rancho Santa Fe Road, along its entire length (both sides) In the City of San Marcos Active Transportation Plan, a Class IV bikeway (one-way) is planned to be constructed as the ultimate bicycle network condition on Mission Road / S. Santa Fe east of N.

Rancho Santa Fe Road. The Project will provide an 8-foot-wide irrevocable offer of dedication (IOD) along the Project frontage to support the future bicycle facilities.

11.2 Pedestrian Conditions
Pedestrian sidewalks are generally provided throughout the study area, except for:
 S. Santa Fe Avenue, north of Bosstick Boulevard (both sides)  N. Las Flores Drive, north of S. Santa Fe Avenue (east side) The City of San Marcos Bicycle and Pedestrian Master Plan notes the same missing sidewalks in the study area on S. Santa Fe Avenue and N. Las Flores Drive.

Pedestrian crossings are provided in all directions at the intersections of S. Rancho Santa Fe Avenue / N. Las Flores Drive and Capalina Road / N. Rancho Santa Fe Road. Formalized p edestrian crossings are not provided at the following locations:
 S. Santa Fe Avenue / Smilax Road (across all legs)
 S. Santa Fe Avenue / Bosstick Boulevard (crossing prohibited across the north leg)  S. Santa Fe Avenue / Community Drive (across all legs)  N. Las Flores Drive / Hollencrest Road (across all legs)  S. Santa Fe Avenue / N. Rancho Santa Fe Road (crossing prohibited across the north leg)  Capalina Road / Hollencrest Road (across all legs)
N. Las Flores Drive is considered a “Collector” route on the Bicycle and Pedestrian Master Plan .

Collector sidewalks are typically along roads that support institutional, industrial, open space, agricultural, or low density residential with limited lateral access and low pedestrian levels.

According to the Bicycle and Pedestrian Master Plan , Collector sidewalks typically warrant the “basic level” sidewalk treatment adequate to provide the minimum level of safety, connectivity, access, and walkability, though special circumstances may warrant enhanced treatments.

S. Santa Fe Avenue is considered an “Arterial” route in the Bicycle and Pedestrian Master Plan .

Arterial sidewalks are typically along roads that support moderate density business and shopping districts with moderate pedestrian levels. Arterial sidewalks typically warrant the “enhanced” walkway treatment level according to the Bicycle and Pedestrian Master Plan, which may include features such as street trees or other buffer between the sidewalk and vehicle lanes, among other treatments.
1345

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 35 The Project will provide an 8- foot-wide IOD along the Project frontage to support the future pedestrian facilities.

11.3 Existing Transit Conditions
Transit service is provided to the project area via North County Transit District (NCTD) bus routes 304 and 305.

Route 304 provides bus service between Encinitas and San Marcos, with stops within the study area along N. Rancho Santa Fe Road and S. Santa Fe Avenue. This route provides a direct connection to Palomar College Station with transfers to SPRINTER Route 305 bus service. The route operates hourly between the hours of 5:00AM and 8:00PM, Monday through Friday, and between 7:30AM and 7:30PM on Saturday.

Route 305 provides bus service between Escondido and Vista, with stops within the study area along S. Santa Fe Avenue . This route provides a direct connection to Palomar College Station with transfers to SPRINTER, Route 304 bus service. The route operates hourly between the hours of 4:30AM and 11:00PM, Monday through Friday, and between 5:30AM and 11:0 0PM on Saturday & Sundays.

The project site is located within 1/2 mile walking distance , depending on ultimate pedestrian site access, from stop pairs serving both Route 304 and Route 305 located along S. Santa Fe Avenue .

The closest bus stops to the project site are located near the intersection of S. Santa Fe Avenue / N.

Las Flores Drive and the intersection of S. Santa Fe Avenue (Mission Rd) & Rancho Santa Fe Rd on both sides of the street. The project site is also approximately 1.25- mile walking or biking distance from Palomar College Station.

At the intersection of S. Santa Fe Avenue ( Mission Rd) & Rancho Santa Fe Rd, the bus stop in the northbound direction provides route signage , seating with shade, and a trash receptacle and in the southbound direction the stop provides only route signage , seating, and a trash receptacle. At the intersection of S. Santa Fe Avenue / N. Las Flores Drive, the bus stop in the northbound direction provides route signage, seating, and a trash receptacle and in the southbound direction it provides route signage, seating with shade, and a trash receptacle. 1346

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 36 12.0 ACCESS ASSESSMENT
Access is proposed via the existing driveway to S. Santa Fe Avenue which the Gourmet Liquor store currently utilizes. This driveway is limited to right turns in and out only , by the raised median within S. Santa Fe Avenue.

LLG conducted AM (7-9 AM) peak hour and PM (4-6 PM) peak hour counts on Wednesday June 8, 2022, at the subject driveway to obtain existing volumes. The AM/PM peak hour inbound counts were 11 and 30. These weekday counts were used in the analysis since weekday commute peak periods are what is analyzed based on City Guidelines. A traffic count was also conducted on Saturday, July 23, 2022, and Friday, August 5, 2022, from 5:00 PM to 6:30 PM. The inbound and outbound peak hour count was 27/27 on Saturday, and 33/37 on Friday. Project weekday volumes were added to existing volumes to conduct a peak hour analysis for the following scenarios. Table 12-1 shows the project trip generation table. Figure 12-1 shows the existing and existing + project traffic volumes.
• Existing Peak Hour
• Existing + Project Peak Hour

Table 12-2 shows the results of the peak hour analysis for the subject driveway. As shown on Table 12-2, the driveway is calculated to operate at a very good LOS B under both the existing and existing + project scenarios. LOS B is calculated using Friday and Saturday counts as well. The driveway can accommodate both existing and project traffic. Table 12-3 shows a summary of the counts collected by LLG at the Gourmet Liquor driveway.

T
ABLE 12-1

SANTA FE LAS FLORES TRIP GENERATION
Land Use Size
Daily Trip Ends
(ADT)b AM Peak Hour PM Peak Hour
Rate a Volume
Volume Volume
In Out Total In Out Total
Proposed Project
Townhomes c 46 DU 8 /DU 368 6 23 29 26 11 37
Project Total 368 6 23 29 26 11 37
Footnotes:
a. Trip rates from SANDAG's (Not So) Brief Guide of Vehicular Traffic Generation Rates for the San Diego Region b. Average Daily Trips
c. 46 DU proposed on 2.23 net-acres (about 20.1 DU/acre). Therefore, the 'Residential: Condominium (or any multi-family 6-20 DU/acre)' rate was used to calculate the Project's trip generation. 1347

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 37 T
ABLE 12-2

ACCESS DRIVEWAY OPERATIONS
Intersection Control
Type
Peak
Hour
Existing Existing + Project
Delay a LOS b Delay LOS

1. S. Santa Fe Ave /
Project Access Dwy. MSSC c AM 10.4 B 10.6 B
PM 11.1 B 11.4 B
Footnotes:
a. Average delay expressed in seconds per vehicle.
b. Level of Service.
c. MSSC = Minor-Street Stop Controlled intersection. Worst-case level of service reported.

TABLE 12-3

GOURMET LIQUOR DRIVEWAY COUNTS

Wednesday, June 8th, 2022 Friday, August 5th, 2022 Saturday, July 23, 2022 Inbound Outbound Inbound Outbound Inbound Outbound
AM Peak 11 11 - a - - -
PM Peak 30 31 33 37 27 27
Footnotes:
a. - = Counts not conducted during the AM peak hour.

1348
S. Santa Fe Ave
Site Dwy
S. Santa Fe Ave S. Santa Fe Ave
Site Dwy
Site Dwy
AM / PM Intersection
Peak Hour Volumes

AM / PM
Pre & Post Project Site Driveway Traﬃc Volumes
Figure 12-1
Santa Fe Flores Townhomes
N:\3940\Figures
Date: 11/26/25
11 / 30
572 / 665
11 / 31
6 / 26
23 / 11 17 / 56
572 / 665
34 / 42
ExisƟng
Traﬃc Volumes
Project
Traﬃc Volumes
ExisƟng + Project
Traﬃc Volumes
573 / 1,003 590 / 1,01917 / 16
(Santa Fe / Las Flores 46-Unit Project Traﬃc)(Liquor Store Traﬃc) 1349
LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Townhomes Project
N:\3940 - Santa Fe Flores\Report\LTA\3940.LTA_Dec 2025.docx 39 13.0 C ONCLUSIONS
The preceding Local Transportation Analysis (LTA) w as prepare d t o determine and evaluate the potential impacts and effects to the local roadway system due to the proposed Project.

The LTA shows that the Project will add a small amount of traffic to the intersection of S. Santa Fe Avenue / Smilax Road, which operates below City standards. However, the Project contributes only

0.58% (20 trips) of the total combined AM and PM peak hour traffic to this intersection un der Near-Term conditions. The existing traffic condition s at this location ar e already substandard. The provision of a traffic signal would result in acceptable LOS D or better operations. A traffic signal is planned at the S. Santa Fe Avenue / Smilax Road intersectio n as part of the City’s Capital Improvement Project (CIP) 88179 (IP 4750).

The Project should be conditioned to provide adequate corner sight distance at the Project driveway.

This analysis was previously prepared by a project civil engineer for a similar project on the same site. See Appendix J for the Sight Distance Exhibit.
1350

TECHNICAL APPENDICES

SANTA FE FLORES TOWNHOMES PROJECT
San Marcos, California
December 4, 2025

LLG Ref. 3-24-3940

1351

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Project
N:\3940 - Santa Fe Flores\Report\Appendices\Appendix Cover Pages.docx

APPENDICES

APPENDIX
A. Intersection and Segment Manual Count Sheets
B. City of San Marcos Roadway Classification Table
C. Analysis Worksheets – Existing
D. K&D Factors Definitions
E. Travel Route Maps
F. Analysis Worksheets – Near-Term
G. Analysis Worksheets – Near-Term + Project
H. Analysis Worksheets – Long-Term
I. Analysis Worksheets – Long- Term + Project
J. Sight Distance Exhibit
1352

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Project
N:\3940 - Santa Fe Flores\Report\Appendices\Appendix Cover Pages.docx

APPENDIX A

INTERSECTION AND SEGMENT MANUAL COUNT
SHEETS

1353
Location: File Name:

Intersection: Project:

Date of Count:

Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 7:00 0 89 31 0 0 1 33 42 1 21 0 33 251
7:15 0 98 47 0 0 0 50 45 2 17 0 46 305
7:30 1 90 38 0 0 0 59 77 0 23 0 48 336
7:45 0 124 70 0 0 0 69 74 2 18 0 34 391
8:00 0 83 55 0 0 0 60 76 0 23 0 23 320
8:15 0 101 52 0 0 0 51 56 0 27 0 42 329
8:30 1 96 46 0 0 0 35 77 0 19 0 28 302
8:45 0 82 35 0 0 0 18 93 0 15 0 16 259
Total 2 763 374 0 0 1 375 540 5 163 0 270 2493
Approach% 0.2 67.0 32.8 - - 100.0 40.8 58.7 0.5 37.6 - 62.4 Total% 0.1 30.6 15.0 - - 0.0 15.0 21.7 0.2 6.5 - 10.8
AM Intersection Peak Hour:

Volume 1 398 215 - - - 239 283 2 91 - 147 1,376 Approach% 0.2 64.8 35.0 - - - 45.6 54.0 0.4 38.2 - 61.8 Total% 0.1 28.9 15.6 - - - 17.4 20.6 0.1 6.6 - 10.7 PHF 0.79 #DIV/0! 0.90 0.84 0.88
Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 16:00 0 147 39 0 0 1 40 122 0 15 0 51 415
16:15 0 153 28 0 0 0 22 130 0 21 0 57 411
16:30 0 170 42 0 0 0 26 140 0 31 0 60 469
16:45 10 157 39 0 0 0 41 130 0 19 0 57 453
17:00 0 159 38 0 0 3 35 150 0 23 0 56 464
17:15 0 155 37 0 0 0 41 105 1 30 0 52 421
17:30 0 143 32 0 0 0 26 129 0 24 0 68 422
17:45 0 105 37 0 0 0 41 141 0 25 0 54 403
Total 10 1189 292 0 0 4 272 1047 1 188 0 455 3458
Approach% 0.7 79.7 19.6 - - 100.0 20.6 79.3 0.1 29.2 - 70.8 Total% 0.3 34.4 8.4 - - 0.1 7.9 30.3 0.0 5.4 - 13.2
PM Intersection Peak Hour:

Volume 10 641 156 - - 3 143 525 1 103 - 225 1,807 Approach% 1.2 79.4 19.3 - - 100.0 21.4 78.5 0.1 31.4 - 68.6 Total% 0.6 35.5 8.6 - - 0.2 7.9 29.1 0.1 5.7 - 12.5 PHF 0.95 0.25 0.90 0.90 0.96
16:30 to 17:30
#01 ITM-22-009-01
South Santa Fe Avenue & Smilax Road LLG Ref. 3-22-3523 Westbound Northbound Eastbound
Santa Fe Las Flores
South Santa Fe Avenue
Southbound
Smilax Road
Southbound
Westbound
Smilax Road
Northbound
South Santa Fe Avenue
Eastbound
Smilax Road
07:30 to 08:30
AM
Thursday, February 17, 2022
PM
South Santa Fe Avenue Smilax Road South Santa Fe Avenue Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | Intersection Turning Movement - Peak Hour Vehicle Count 1354
Location: File Name:

Intersection: Project:

Date of Count:

B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 7:00 0 0 0 0 0 0 0 0 0 0 0 0 0
7:15 0 0 0 0 0 0 0 0 0 0 0 0 0
7:30 0 0 0 0 0 0 0 0 0 0 0 0 0
7:45 0 0 0 0 0 0 0 0 0 0 0 0 0
8:00 0 0 0 0 0 0 0 0 0 0 0 0 0
8:15 0 0 0 0 0 0 0 0 0 0 0 0 0
8:30 0 0 0 0 0 0 0 0 0 0 0 0 0
8:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 0 0 0 0 0 0 0
B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 16:00 0 0 0 0 0 0 0 0 0 0 0 0 0
16:15 0 0 0 0 0 0 0 0 0 0 0 0 0
16:30 0 0 0 0 0 0 0 0 0 0 0 0 0
16:45 0 0 0 0 0 0 0 0 0 1 0 0 1
17:00 0 0 0 0 0 0 0 0 0 0 0 0 0
17:15 0 0 0 0 0 0 0 1 0 0 0 0 1
17:30 0 0 0 0 0 0 0 1 0 0 0 0 1
17:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 0 2 0 1 0 0 3
0 1 0
0 0 0 0 0
0 0
0 0
#01 ITM-22-009-01
South Santa Fe Avenue & Smilax Road LLG Ref. 3-22-3523 0 0 0 1 0 1
Ped
0 0 0 0 0
AM
Thursday, February 17, 2022 Santa Fe Las Flores
Ped Ped Ped Ped
0 0
Ped
0 Smilax Road
Southbound
0 0
1 0
0 0
South Santa Fe Avenue
0 South Santa Fe Avenue
Northbound
Ped
0 0
0 0
Westbound
Ped
0 0
0 0
0 0
0 Smilax Road
Eastbound
Ped
0 0
0 Totals
0 Ped
1 0
00 0
0 TotalsSouthbound Westbound Northbound
0 0
1 0 0 0
0 0
00 1
0 0
0 Eastbound
0 PM
South Santa Fe Avenue Smilax Road South Santa Fe Avenue Smilax Road 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0
0 0 0
1 Intersection Turning Movement - Bicycle & Pedestrian Count Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | 1355
Location: File Name:

Intersection: Project:

Date of Count:

Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | South Santa Fe Avenue & Smilax Road LLG Ref. 3-22-3523 Thursday, February 17, 2022 Santa Fe Las Flores
N
Intersection Turning Movement - Peak Hour Summary
#01 ITM-22-009-01
0 / 0
PM: 103 0 225 1
AM: 91 0 147 0 Time Period
AM = 07:30 to 08:30
PM = 16:30 to 17:30
0 / 0
AM: 0 0 0 0
PM: 0 0 3 0
South Santa Fe Avenue
AM: 0 215 398 1
PM: 0 156 641 10
1 / 0 Smilax Road
Smilax Road 0 / 1
South Santa Fe Avenue
AM: 239 283 2 0
PM: 143 525 1 2
1356
Location: File Name:

Intersection: Project:

Date of Count:

Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 7:00 23 96 1 6 0 2 2 72 28 1 2 9 242
7:15 22 127 1 13 0 6 6 91 16 2 0 3 287
7:30 16 113 3 23 0 13 2 120 19 2 0 9 320
7:45 23 127 1 21 0 11 4 151 20 0 0 6 364
8:00 17 99 1 12 0 5 9 131 31 6 0 4 315
8:15 15 120 2 11 0 3 6 93 21 2 0 6 279
8:30 4 125 1 16 0 2 4 107 19 0 0 4 282
8:45 8 90 2 5 0 6 3 100 15 4 0 6 239
Total 128 897 12 107 0 48 36 865 169 17 2 47 2328
Approach% 12.3 86.5 1.2 69.0 - 31.0 3.4 80.8 15.8 25.8 3.0 71.2 Total% 5.5 38.5 0.5 4.6 - 2.1 1.5 37.2 7.3 0.7 0.1 2.0
AM Intersection Peak Hour:

Volume 78 466 6 69 - 35 21 493 86 10 - 22 1,286 Approach% 14.2 84.7 1.1 66.3 - 33.7 3.5 82.2 14.3 31.3 - 68.8 Total% 6.1 36.2 0.5 5.4 - 2.7 1.6 38.3 6.7 0.8 - 1.7 PHF 0.91 0.72 0.86 0.73 0.88
Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 16:00 6 190 4 26 0 12 19 150 12 1 0 4 424
16:15 4 219 2 27 0 18 8 139 7 1 0 4 429
16:30 4 226 2 24 0 30 10 139 9 2 0 2 448
16:45 2 224 2 11 1 17 11 167 9 3 0 4 451
17:00 4 208 5 31 0 17 10 177 13 1 0 1 467
17:15 6 196 4 16 1 11 13 138 8 1 0 3 397
17:30 6 207 4 18 0 14 7 141 10 5 0 1 413
17:45 1 155 1 11 0 11 6 158 9 2 0 2 356
Total 33 1625 24 164 2 130 84 1209 77 16 0 21 3385
Approach% 2.0 96.6 1.4 55.4 0.7 43.9 6.1 88.2 5.6 43.2 - 56.8 Total% 1.0 48.0 0.7 4.8 0.1 3.8 2.5 35.7 2.3 0.5 - 0.6
PM Intersection Peak Hour:

Volume 14 877 11 93 1 82 39 622 38 7 - 11 1,795 Approach% 1.6 97.2 1.2 52.8 0.6 46.6 5.6 89.0 5.4 38.9 - 61.1 Total% 0.8 48.9 0.6 5.2 0.1 4.6 2.2 34.7 2.1 0.4 - 0.6 PHF 0.97 0.81 0.87 0.64 0.96
16:15 to 17:15
#02 ITM-22-009-02
South Santa Fe Avenue & Bosstick Boulevard LLG Ref. 3-22-3523 Westbound Northbound Eastbound
Santa Fe Las Flores
Santa Santa Fe Avenue
Southbound
Bosstick Boulevard
Southbound
Westbound
Bosstick Boulevard
Northbound
Santa Santa Fe Avenue
Eastbound
Bosstick Boulevard
07:15 to 08:15
AM
Thursday, February 17, 2022
PM
Santa Santa Fe Avenue Bosstick Boulevard Santa Santa Fe Avenue Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | Intersection Turning Movement - Peak Hour Vehicle Count 1357
Location: File Name:

Intersection: Project:

Date of Count:

B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 7:00 0 0 0 0 0 0 0 0 0 0 0 0 0
7:15 0 1 0 0 0 0 0 0 0 0 0 0 1
7:30 0 0 0 0 0 0 0 0 0 0 0 0 0
7:45 0 0 0 0 0 0 0 0 0 0 0 0 0
8:00 0 0 0 0 0 0 0 0 0 0 0 0 0
8:15 0 0 0 0 0 0 0 0 0 0 0 0 0
8:30 0 0 0 0 0 0 0 0 0 0 0 0 0
8:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 1 0 0 0 0 0 0 0 0 0 0 1
B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 16:00 0 0 0 0 0 0 0 1 0 0 0 0 1
16:15 0 0 0 0 0 0 0 0 0 0 0 0 0
16:30 0 0 0 0 0 0 0 0 0 0 0 0 0
16:45 0 0 0 0 0 0 0 0 0 0 0 0 0
17:00 0 0 0 0 0 0 0 0 0 0 0 0 0
17:15 0 0 0 0 0 0 0 1 0 0 0 0 1
17:30 0 0 0 0 0 0 0 0 0 0 0 0 0
17:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 0 2 0 0 0 0 2
4 6 16
0 0 1 1 2
1 3
2 0
#02 ITM-22-009-02
South Santa Fe Avenue & Bosstick Boulevard LLG Ref. 3-22-3523 11 0 1 0 2 3
Ped
0 0 1 3 4
AM
Thursday, February 17, 2022 Santa Fe Las Flores
Ped Ped Ped Ped
0 0
Ped
0 Bosstick Boulevard
Southbound
1 0
0 0
0 0
Santa Santa Fe Avenue
0 Santa Santa Fe Avenue
Northbound
Ped
1 0
0 3
Westbound
Ped
1 0
0 1
0 0
2 Bosstick Boulevard
Eastbound
Ped
0 3
0 Totals
2 Ped
3 0
73 0
1 TotalsSouthbound Westbound Northbound
1 0
0 2 5 8
1 0
00 15
0 0
0 Eastbound
0 PM
Santa Santa Fe Avenue Bosstick Boulevard Santa Santa Fe Avenue Bosstick Boulevard 0 1 2 8
0 0 1 0
0 1 0 2
0 0 0 0 0
1 1 0
26 Intersection Turning Movement - Bicycle & Pedestrian Count Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | 1358
Location: File Name:

Intersection: Project:

Date of Count:

Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | South Santa Fe Avenue & Bosstick Boulevard LLG Ref. 3-22-3523 Thursday, February 17, 2022 Santa Fe Las Flores
N
Intersection Turning Movement - Peak Hour Summary
#02 ITM-22-009-02
8 / 16
PM: 7 0 11 0
AM: 10 0 22 0 Time Period
AM = 07:15 to 08:15
PM = 16:15 to 17:15
2 / 4
AM: 69 0 35 0
PM: 93 1 82 0
Santa Santa Fe Avenue
AM: 1 6 466 78
PM: 0 11 877 14
0 / 0 Bosstick Boulevard
Bosstick Boulevard 5 / 6
Santa Santa Fe Avenue
AM: 21 493 86 0
PM: 39 622 38 2
1359
Location: File Name:

Intersection: Project:

Date of Count:

Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 7:00 0 126 3 0 0 0 2 120 0 2 0 0 253
7:15 0 138 2 0 0 0 2 99 0 0 0 4 245
7:30 0 194 1 0 0 0 3 140 0 4 0 2 344
7:45 0 168 1 0 0 0 2 142 0 1 0 2 316
8:00 0 145 3 0 0 0 3 181 0 1 0 3 336
8:15 0 155 1 0 0 0 2 138 0 3 0 0 299
8:30 0 150 1 0 0 0 3 128 0 2 0 1 285
8:45 0 113 2 0 0 0 3 81 0 1 0 0 200
Total 0 1189 14 0 0 0 20 1029 0 14 0 12 2278
Approach% - 98.8 1.2 - - - 1.9 98.1 - 53.8 - 46.2
Total% - 52.2 0.6 - - - 0.9 45.2 - 0.6 - 0.5
AM Intersection Peak Hour:

Volume - 662 6 - - - 10 601 - 9 - 7 1,295 Approach% - 99.1 0.9 - - - 1.6 98.4 - 56.3 - 43.8 Total% - 51.1 0.5 - - - 0.8 46.4 - 0.7 - 0.5 PHF 0.86 #DIV/0! 0.83 0.67 0.94
Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 16:00 0 296 0 0 0 0 8 173 0 1 0 2 480
16:15 0 297 1 0 0 0 3 172 0 0 0 1 474
16:30 0 254 0 0 0 0 3 167 0 0 0 1 425
16:45 0 248 2 0 0 0 6 156 0 1 0 1 414
17:00 0 264 0 0 0 0 17 174 0 3 0 1 459
17:15 0 269 2 0 0 0 6 202 0 0 0 1 480
17:30 0 253 2 0 0 0 8 188 0 2 0 1 454
17:45 0 226 0 0 0 0 3 159 0 0 0 1 389
Total 0 2107 7 0 0 0 54 1391 0 7 0 9 3575
Approach% - 99.7 0.3 - - - 3.7 96.3 - 43.8 - 56.3
Total% - 58.9 0.2 - - - 1.5 38.9 - 0.2 - 0.3
PM Intersection Peak Hour:

Volume - 1,034 6 - - - 37 720 - 6 - 4 1,807 Approach% - 99.4 0.6 - - - 4.9 95.1 - 60.0 - 40.0 Total% - 57.2 0.3 - - - 2.0 39.8 - 0.3 - 0.2 PHF 0.96 #DIV/0! 0.91 0.63 0.94
Intersection Turning Movement - Peak Hour Vehicle Count AM
PM
South Santa Fe Avenue - South Santa Fe Avenue
Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | ITM-22-009-08#03
South Santa Fe Avenue & Community Drive
Thursday, February 17, 2022
LLG Ref. 3-22-3523
Westbound Northbound Eastbound
Santa Fe Las Flores
South Santa Fe Avenue
Southbound
Community Drive
Southbound
Westbound
-
Northbound
South Santa Fe Avenue
Eastbound
Community Drive
07:30 to 08:30
16:45 to 17:45
1360
Location: File Name:

Intersection: Project:

Date of Count:

B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 7:00 0 0 0 0 0 0 0 0 0 0 0 0 0
7:15 0 0 0 0 0 0 0 0 0 0 0 0 0
7:30 0 0 0 0 0 0 0 0 0 2 0 0 2
7:45 0 0 0 0 0 0 0 1 0 0 0 0 1
8:00 0 0 0 0 0 0 0 0 0 2 0 0 2
8:15 0 0 0 0 0 0 0 0 0 0 0 0 0
8:30 0 0 0 0 0 0 0 1 0 0 0 0 1
8:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 0 2 0 4 0 0 6
B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 16:00 0 0 0 0 0 0 0 0 0 0 0 0 0
16:15 0 0 0 0 0 0 0 0 0 0 0 0 0
16:30 0 1 0 0 0 0 0 0 0 0 0 0 1
16:45 0 1 0 0 0 0 0 0 0 0 0 0 1
17:00 0 0 0 0 0 0 0 0 0 0 0 0 0
17:15 0 1 0 0 0 0 0 0 0 0 0 0 1
17:30 0 0 0 0 0 0 0 1 0 0 0 0 1
17:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 3 0 0 0 0 0 1 0 0 0 0 4
Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | Intersection Turning Movement - Bicycle & Pedestrian Count 0 0 0 0
0 0 0
80 PM
South Santa Fe Avenue - South Santa Fe Avenue Community Drive 0 0 0 1
0 0 0 0
0 0 0 3
0 TotalsSouthbound Westbound Northbound
0 1
6 0 0 0
0 0
00 6
0 0
0 Eastbound
0 0
0 0
0 2
2 Community Drive
Eastbound
Ped
0 0
0 Totals
0 Ped
1 0
00 0
0 Ped
0 0
Ped
1 -
Southbound
0 0
1 0
2 2
South Santa Fe Avenue
0 South Santa Fe Avenue
Northbound
Ped
0 0
0 0
Westbound
Ped
0 0 0 0 0
Ped
0 0 0 2 2
AM
Santa Fe Las Flores
Ped Ped Ped
0 0 8
0 0 0 2 2
0 3
0 0
ITM-22-009-08#03
South Santa Fe Avenue & Community Drive
Thursday, February 17, 2022
LLG Ref. 3-22-3523
1 1361
Location: File Name:

Intersection: Project:

Date of Count:

Community Drive 0 / 0
South Santa Fe Avenue
AM: 10 601 0 2
PM: 37 720 0 1
South Santa Fe Avenue
AM: 0 6 662 0
PM: 3 6 1034 0
6 / 0 -
0 / 8
PM: 6 0 4 0
AM: 9 0 7 4 Time Period
AM = 07:30 to 08:30
PM = 16:45 to 17:45
0 / 0
AM: 0 0 0 0
PM: 0 0 0 0
Intersection Turning Movement - Peak Hour Summary
ITM-22-009-08
LLG Ref. 3-22-3523
#03
South Santa Fe Avenue & Smilax Road
Thursday, February 17, 2022 Santa Fe Las Flores
N
Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | 1362
Location: File Name:

Intersection: Project:

Date of Count:

Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 7:00 7 95 5 26 0 6 0 102 9 6 0 4 260
7:15 5 127 9 29 1 7 13 104 10 7 1 5 318
7:30 12 129 5 43 2 6 10 118 5 9 0 9 348
7:45 8 149 8 33 6 16 14 125 6 15 0 8 388
8:00 10 106 5 22 2 9 7 147 13 9 1 7 338
8:15 11 112 10 22 5 20 4 105 13 8 1 6 317
8:30 15 119 15 15 0 13 3 124 13 9 0 6 332
8:45 9 93 6 11 0 6 4 103 14 6 0 4 256
Total 77 930 63 201 16 83 55 928 83 69 3 49 2557
Approach% 7.2 86.9 5.9 67.0 5.3 27.7 5.2 87.1 7.8 57.0 2.5 40.5 Total% 3.0 36.4 2.5 7.9 0.6 3.2 2.2 36.3 3.2 2.7 0.1 1.9 AM Intersection Peak Hour:

Volume 35 511 27 127 11 38 44 494 34 40 2 29 1,392 Approach% 6.1 89.2 4.7 72.2 6.3 21.6 7.7 86.4 5.9 56.3 2.8 40.8 Total% 2.5 36.7 1.9 9.1 0.8 2.7 3.2 35.5 2.4 2.9 0.1 2.1 PHF 0.87 0.80 0.86 0.77 0.90
Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 16:00 15 206 20 17 1 9 9 154 24 7 1 4 467
16:15 18 218 14 13 1 4 9 148 12 10 0 3 450
16:30 10 246 19 9 0 6 9 141 13 7 0 10 470
16:45 13 202 19 18 1 9 10 156 22 11 1 2 464
17:00 13 212 19 13 0 15 7 146 32 12 0 5 474
17:15 12 210 15 9 0 8 5 137 20 15 0 3 434
17:30 17 16 22 24 2 7 7 136 19 9 0 4 263
17:45 16 164 22 13 1 2 4 149 25 11 0 4 411
Total 114 1474 150 116 6 60 60 1167 167 82 2 35 3433
Approach% 6.6 84.8 8.6 63.7 3.3 33.0 4.3 83.7 12.0 68.9 1.7 29.4 Total% 3.3 42.9 4.4 3.4 0.2 1.7 1.7 34.0 4.9 2.4 0.1 1.0 PM Intersection Peak Hour:

Volume 54 878 71 53 2 34 35 591 79 40 1 20 1,858 Approach% 5.4 87.5 7.1 59.6 2.2 38.2 5.0 83.8 11.2 65.6 1.6 32.8 Total% 2.9 47.3 3.8 2.9 0.1 1.8 1.9 31.8 4.3 2.2 0.1 1.1 PHF 0.91 0.79 0.94 0.90 0.98
16:15 to 17:15
ITM-22-009-03
LLG Ref. 3-22-3523
Westbound Northbound Eastbound
Santa Fe Las Flores
Santa Santa Fe Avenue
Southbound
Las Flores Drive
Southbound
Westbound
Las Flores Drive
Northbound
Santa Santa Fe Avenue
Eastbound
Las Flores Drive
07:15 to 08:15
AM
#04
South Santa Fe Avenue & Las Flores Drive
Thursday, February 17, 2022
PM
Santa Santa Fe Avenue Las Flores Drive Santa Santa Fe Avenue Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | Intersection Turning Movement - Peak Hour Vehicle Count 1363
Location: File Name:

Intersection: Project:

Date of Count:

B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 7:00 0 0 0 0 0 0 0 0 0 0 0 0 0
7:15 0 0 0 0 0 0 0 0 0 1 0 0 1
7:30 0 0 0 1 0 0 0 0 0 0 0 0 1
7:45 0 0 0 0 0 0 0 0 0 0 0 0 0
8:00 0 0 0 0 0 0 0 0 0 0 0 0 0
8:15 0 0 0 0 0 0 0 0 0 0 0 0 0
8:30 0 0 0 0 0 0 0 0 0 0 0 0 0
8:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 1 0 0 0 0 0 1 0 0 2
B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 16:00 0 0 0 0 0 0 0 1 0 0 0 0 1
16:15 0 0 0 0 0 0 0 0 0 1 0 0 1
16:30 0 0 0 0 0 0 0 0 0 0 0 0 0
16:45 0 0 0 0 0 0 0 0 0 0 0 0 0
17:00 0 0 0 0 0 0 0 0 0 0 0 0 0
17:15 0 0 0 0 0 0 0 1 0 0 0 0 1
17:30 0 0 0 0 0 0 0 1 0 0 0 0 1
17:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 0 3 0 1 0 0 4
3 3 9
5 2 0 0 7
12 5
3 4
ITM-22-009-03
LLG Ref. 3-22-3523
2 1 0 1 4 6
Ped
2 0 1 2 5
AM
#04
South Santa Fe Avenue & Las Flores Drive
Thursday, February 17, 2022 Santa Fe Las Flores
Ped Ped Ped Ped
2 0
Ped
0 Las Flores Drive
Southbound
1 0
1 0
0 0
Santa Santa Fe Avenue
0 Santa Santa Fe Avenue
Northbound
Ped
1 1
1 1
Westbound
Ped
0 0
1 0
1 1
0 Las Flores Drive
Eastbound
Ped
0 1
0 Totals
1 Ped
3 4
20 0
0 TotalsSouthbound Westbound Northbound
2 2
4 3 7 1
0 0
11 15
0 0
2 Eastbound
29 PM
Santa Santa Fe Avenue Las Flores Drive Santa Santa Fe Avenue Las Flores Drive 2 0 0 0
11 0 0 1
3 1 1 0
2 3 0 0 1
0 0 1
44 Intersection Turning Movement - Bicycle & Pedestrian Count Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | 1364
Location: File Name:

Intersection: Project:

Date of Count:

Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | LLG Ref. 3-22-3523
Santa Fe Las Flores
N
Intersection Turning Movement - Peak Hour Summary
#04
South Santa Fe Avenue & Las Flores Drive
Thursday, February 17, 2022
ITM-22-009-03
1 / 9
PM: 40 1 20 1
AM: 40 2 29 1 Time Period
AM = 07:15 to 08:15
PM = 16:15 to 17:15
3 / 3
AM: 127 11 38 1
PM: 53 2 34 0
Santa Santa Fe Avenue
AM: 0 27 511 35
PM: 0 71 878 54
4 / 29 Las Flores Drive
Las Flores Drive 7 / 3
Santa Santa Fe Avenue
AM: 44 494 34 0
PM: 35 591 79 3
1365
Location: File Name:

Intersection: Project:

Date of Count:

Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 7:00 0 0 0 3 4 0 3 0 2 0 8 1 21
7:15 0 0 0 1 15 0 1 0 2 0 11 1 31
7:30 0 0 0 3 15 0 1 0 6 0 14 1 40
7:45 0 0 0 2 16 0 1 0 12 0 13 0 44
8:00 0 0 0 0 14 0 0 0 4 0 9 2 29
8:15 0 0 0 7 16 0 5 0 3 0 15 1 47
8:30 0 0 0 1 12 0 1 0 3 0 4 1 22
8:45 0 0 0 0 10 0 0 0 4 0 5 1 20
Total 0 0 0 17 102 0 12 0 36 0 79 8 254
Approach% - - - 14.3 85.7 - 25.0 - 75.0 - 90.8 9.2
Total% - - - 6.7 40.2 - 4.7 - 14.2 - 31.1 3.1
AM Intersection Peak Hour:

Volume - - - 12 61 - 7 - 25 - 51 4 160 Approach% - - - 16.4 83.6 - 21.9 - 78.1 - 92.7 7.3 Total% - - - 7.5 38.1 - 4.4 - 15.6 - 31.9 2.5 PHF #DIV/0! 0.79 0.62 0.86 0.85
Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 16:00 0 0 0 6 23 0 2 0 5 0 7 4 47
16:15 0 0 0 5 13 0 2 0 6 2 8 1 37
16:30 0 0 0 5 20 0 0 0 3 1 9 0 38
16:45 0 0 0 10 22 0 1 0 4 0 12 2 51
17:00 0 0 0 9 17 0 0 0 3 0 16 2 47
17:15 0 0 0 6 15 0 0 0 3 0 16 0 40
17:30 0 0 0 6 23 0 2 0 1 0 10 1 43
17:45 0 0 0 10 15 0 0 0 1 0 12 0 38
Total 0 0 0 57 148 0 7 0 26 3 90 10 341
Approach% - - - 27.8 72.2 - 21.2 - 78.8 2.9 87.4 9.7
Total% - - - 16.7 43.4 - 2.1 - 7.6 0.9 26.4 2.9
PM Intersection Peak Hour:

Volume - - - 31 77 - 3 - 11 - 54 5 181 Approach% - - - 28.7 71.3 - 21.4 - 78.6 - 91.5 8.5 Total% - - - 17.1 42.5 - 1.7 - 6.1 - 29.8 2.8 PHF #DIV/0! 0.84 0.70 0.82 0.89
16:45 to 17:45
ITM-22-009-04
LLG Ref. 3-22-3523
Westbound Northbound Eastbound
Santa Fe Las Flores
-
Southbound
Las Flores Drive
Southbound
Westbound
Las Flores Drive
Northbound
Hollencrest Road
Eastbound
Las Flores Drive
07:30 to 08:30
AM
#05
Hollencrest Road & Las Flores Drive
Thursday, February 17, 2022
PM
- Las Flores Drive Hollencrest Road
Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | Intersection Turning Movement - Peak Hour Vehicle Count 1366
Location: File Name:

Intersection: Project:

Date of Count:

B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 7:00 0 0 0 0 0 0 0 0 0 0 0 0 0
7:15 0 0 0 0 0 0 0 0 1 0 0 0 1
7:30 0 0 0 0 0 0 0 0 0 0 0 0 0
7:45 0 0 0 0 0 0 0 0 0 0 0 0 0
8:00 0 0 0 0 0 0 0 0 0 0 0 0 0
8:15 0 0 0 0 0 0 0 0 0 0 0 0 0
8:30 0 0 0 0 0 0 0 0 0 0 0 0 0
8:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 0 0 1 0 0 0 1
B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 16:00 0 0 0 0 0 0 0 0 0 0 0 0 0
16:15 0 0 0 0 0 0 0 0 0 0 0 0 0
16:30 0 0 0 0 0 0 1 0 0 0 0 0 1
16:45 0 0 0 0 0 0 0 0 0 0 0 0 0
17:00 0 0 0 0 0 0 0 0 0 0 0 0 0
17:15 0 0 0 0 0 0 0 0 0 0 0 0 0
17:30 0 0 0 0 0 0 0 0 0 0 0 0 0
17:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 1 0 0 0 0 0 1
0 2 8
0 0 0 1 1
4 0
2 0
ITM-22-009-04
LLG Ref. 3-22-3523
0 0 0 0 1 1
Ped
0 0 1 1 2
AM
#05
Hollencrest Road & Las Flores Drive
Thursday, February 17, 2022 Santa Fe Las Flores
Ped Ped Ped Ped
0 0
Ped
0 Las Flores Drive
Southbound
0 0
0 0
0 0
-
0 Hollencrest Road
Northbound
Ped
0 1
3 2
Westbound
Ped
1 0
0 0
0 1
0 Las Flores Drive
Eastbound
Ped
1 1
1 Totals
2 Ped
2 4
20 1
0 TotalsSouthbound Westbound Northbound
0 0
0 1 6 4
0 0
00 11
0 0
0 Eastbound
0 PM
- Las Flores Drive Hollencrest Road Las Flores Drive
0 0 0 0
0 0 0 4
0 0 0 0
0 0 0 0 0
0 1 1
10 Intersection Turning Movement - Bicycle & Pedestrian Count Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | 1367
Location: File Name:

Intersection: Project:

Date of Count:

Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | LLG Ref. 3-22-3523
Santa Fe Las Flores
N
Intersection Turning Movement - Peak Hour Summary
#05
Hollencrest Road & Las Flores Drive
Thursday, February 17, 2022
ITM-22-009-04
4 / 8
PM: 0 54 5 0
AM: 0 51 4 0 Time Period
AM = 07:30 to 08:30
PM = 16:45 to 17:45
1 / 0
AM: 12 61 0 0
PM: 31 77 0 0
-
AM: 0 0 0 0
PM: 0 0 0 0
0 / 0 Las Flores Drive
Las Flores Drive 6 / 2
Hollencrest Road
AM: 7 0 25 1
PM: 3 0 11 1
1368
Location: File Name:

Intersection: Project:

Date of Count:

Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 7:00 0 74 52 0 0 0 32 45 0 68 0 11 282
7:15 0 94 70 0 0 0 30 81 0 42 0 19 336
7:30 0 107 74 0 0 0 27 73 0 60 0 23 364
7:45 0 121 69 0 0 0 33 92 0 53 0 23 391
8:00 0 78 60 0 0 0 26 90 0 81 0 21 356
8:15 1 64 55 0 0 0 35 57 0 74 0 23 309
8:30 0 79 60 0 0 0 32 66 0 69 0 27 333
8:45 0 62 47 0 0 0 27 56 0 74 0 21 287
Total 1 679 487 0 0 0 242 560 0 521 0 168 2658
Approach% 0.1 58.2 41.7 - - - 30.2 69.8 - 75.6 - 24.4
Total% 0.0 25.5 18.3 - - - 9.1 21.1 - 19.6 - 6.3
AM Intersection Peak Hour:

Volume - 400 273 - - - 116 336 - 236 - 86 1,447 Approach% - 59.4 40.6 - - - 25.7 74.3 - 73.3 - 26.7 Total% - 27.6 18.9 - - - 8.0 23.2 - 16.3 - 5.9 PHF 0.89 #DIV/0! 0.90 0.79 0.93
Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 16:00 1 168 59 0 0 0 45 93 0 95 0 76 537
16:15 0 184 38 0 0 0 34 81 0 66 0 75 478
16:30 1 181 58 0 0 0 33 67 0 98 0 108 546
16:45 1 187 46 0 0 0 44 123 0 83 0 72 556
17:00 0 194 56 0 0 0 35 95 0 87 0 74 541
17:15 1 155 46 0 0 0 42 91 0 76 0 79 490
17:30 0 156 51 0 0 0 37 93 0 77 0 74 488
17:45 2 144 42 0 0 0 37 94 0 69 0 57 445
Total 6 1369 396 0 0 0 307 737 0 651 0 615 4081
Approach% 0.3 77.3 22.4 - - - 29.4 70.6 - 51.4 - 48.6
Total% 0.1 33.5 9.7 - - - 7.5 18.1 - 16.0 - 15.1
PM Intersection Peak Hour:

Volume 3 717 206 - - - 154 376 - 344 - 333 2,133 Approach% 0.3 77.4 22.2 - - - 29.1 70.9 - 50.8 - 49.2 Total% 0.1 33.6 9.7 - - - 7.2 17.6 - 16.1 - 15.6 PHF 0.93 #DIV/0! 0.79 0.82 0.96
16:30 to 17:30
ITM-22-009-05
LLG Ref. 3-22-3523
Westbound Northbound Eastbound
Santa Fe Las Flores
West Mission Road
Southbound
N. Rancho Santa Fe Rd
Southbound
Westbound
-
Northbound
West Mission Road
Eastbound
N. Rancho Santa Fe Rd
07:15 to 08:15
AM
#06
West Mission Road & N. Rancho Santa Fe Rd
Thursday, February 17, 2022
PM
West Mission Road - West Mission Road
Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | Intersection Turning Movement - Peak Hour Vehicle Count 1369
Location: File Name:

Intersection: Project:

Date of Count:

B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 7:00 0 0 0 0 0 0 0 0 0 0 0 0 0
7:15 0 0 0 0 0 0 0 0 0 0 0 0 0
7:30 0 0 0 0 0 0 0 0 0 0 0 0 0
7:45 0 0 0 0 0 0 0 0 0 0 0 0 0
8:00 0 0 0 0 0 0 0 0 0 0 0 0 0
8:15 0 0 0 0 0 0 0 0 0 0 0 0 0
8:30 0 0 0 0 0 0 0 0 0 0 0 0 0
8:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 0 0 0 0 0 0 0
B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 16:00 0 0 0 0 0 0 1 0 0 1 0 0 2
16:15 0 0 0 0 0 0 2 0 0 1 0 0 3
16:30 0 0 0 0 0 0 0 0 0 0 0 0 0
16:45 0 0 0 0 0 0 0 0 0 0 0 0 0
17:00 0 0 0 0 0 0 0 0 0 0 0 0 0
17:15 0 0 0 0 0 0 0 1 0 0 0 0 1
17:30 0 0 0 0 0 0 0 0 0 0 0 0 0
17:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 3 1 0 2 0 0 6
0 1 10
0 0 1 0 1
3 0
1 0
ITM-22-009-05
LLG Ref. 3-22-3523
3 0 0 0 0 0
Ped
10 0 0 3 13
AM
#06
West Mission Road & N. Rancho Santa Fe Rd
Thursday, February 17, 2022 Santa Fe Las Flores
Ped Ped Ped Ped
0 0
Ped
0 -
Southbound
0 0
0 0
0 0
West Mission Road
0 West Mission Road
Northbound
Ped
0 0
0 0
Westbound
Ped
0 0
0 0
0 1
0 N. Rancho Santa Fe Rd
Eastbound
Ped
1 2
1 Totals
1 Ped
2 1
00 1
0 TotalsSouthbound Westbound Northbound
1 2
0 0 1 7
0 2
00 8
0 1
0 Eastbound
10 PM
West Mission Road - West Mission Road N. Rancho Santa Fe Rd 0 0 0 3
0 0 0 3
0 0 0 0
0 0 0 0 0
0 0 1
21 Intersection Turning Movement - Bicycle & Pedestrian Count Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | 1370
Location: File Name:

Intersection: Project:

Date of Count:

Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | LLG Ref. 3-22-3523
Santa Fe Las Flores
N
Intersection Turning Movement - Peak Hour Summary
#06
West Mission Road & N. Rancho Santa Fe Rd
Thursday, February 17, 2022
ITM-22-009-05
7 / 10
PM: 344 0 333 2
AM: 236 0 86 0 Time Period
AM = 07:15 to 08:15
PM = 16:30 to 17:30
0 / 0
AM: 0 0 0 0
PM: 0 0 0 0
West Mission Road
AM: 0 273 400 0
PM: 0 206 717 3
0 / 10 -
N. Rancho Santa Fe Rd 1 / 1
West Mission Road
AM: 116 336 0 0
PM: 154 376 0 4
1371
Location: File Name:

Intersection: Project:

Date of Count:

Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 7:00 0 37 0 15 0 0 0 8 3 0 0 0 63
7:15 0 35 0 23 0 1 0 15 13 0 0 0 87
7:30 0 61 0 31 0 2 0 10 7 0 0 0 111
7:45 0 55 0 28 0 1 0 28 12 0 0 0 124
8:00 0 36 0 22 0 1 0 14 16 0 0 0 89
8:15 1 20 0 20 0 0 0 24 14 0 0 0 79
8:30 0 32 0 9 0 0 0 18 6 0 0 0 65
8:45 0 13 0 8 0 0 0 17 4 0 0 0 42
Total 1 289 0 156 0 5 0 134 75 0 0 0 660
Approach% 0.3 99.7 - 96.9 - 3.1 - 64.1 35.9 - - -
Total% 0.2 43.8 - 23.6 - 0.8 - 20.3 11.4 - - -
AM Intersection Peak Hour:

Volume - 187 - 104 - 5 - 67 48 - - - 411 Approach% - 100.0 - 95.4 - 4.6 - 58.3 41.7 - - - Total% - 45.5 - 25.3 - 1.2 - 16.3 11.7 - - -
PHF 0.77 0.83 0.72 #DIV/0! 0.83
Left Thru Right Left Thru Right U-Turn Thru Right Left Thru Right Total 16:00 1 21 0 9 0 2 0 37 29 0 0 0 99
16:15 0 23 0 7 0 0 0 47 14 0 0 0 91
16:30 0 25 0 4 0 0 0 26 18 0 0 0 73
16:45 1 31 0 13 0 1 0 43 19 0 0 0 108
17:00 0 18 0 11 0 2 0 24 18 0 0 0 73
17:15 0 31 0 12 0 1 0 35 21 0 0 0 100
17:30 2 33 0 10 0 1 0 28 15 0 0 0 89
17:45 2 26 0 11 0 2 0 47 16 0 0 0 104
Total 6 208 0 77 0 9 0 287 150 0 0 0 737
Approach% 2.8 97.2 - 89.5 - 10.5 - 65.7 34.3 - - -
Total% 0.8 28.2 - 10.4 - 1.2 - 38.9 20.4 - - -
PM Intersection Peak Hour:

Volume 2 100 - 33 - 3 - 153 80 - - - 371 Approach% 2.0 98.0 - 91.7 - 8.3 - 65.7 34.3 - - - Total% 0.5 27.0 - 8.9 - 0.8 - 41.2 21.6 - - - PHF 0.80 0.64 0.88 #DIV/0! 0.86
16:00 to 17:00
ITM-22-009-06
LLG Ref. 3-22-3523
Westbound Northbound Eastbound
Santa Fe Las Flores
Capalina Road
Southbound
-
Southbound
Westbound
Hollencrest Road
Northbound
Capalina Road
Eastbound
-
07:15 to 08:15
AM
#07
Capalina Road & Hollencrest Road
Thursday, February 17, 2022
PM
Capalina Road Hollencrest Road Capalina Road
Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | Intersection Turning Movement - Peak Hour Vehicle Count 1372
Location: File Name:

Intersection: Project:

Date of Count:

B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 7:00 0 0 0 0 0 0 0 0 0 0 0 0 0
7:15 0 0 0 0 0 0 0 0 0 0 0 0 0
7:30 0 0 0 0 0 0 0 1 0 0 0 0 1
7:45 0 0 0 0 0 0 0 0 0 0 0 0 0
8:00 0 0 0 0 0 0 0 0 0 0 0 0 0
8:15 0 0 0 0 0 0 0 0 0 0 0 0 0
8:30 0 0 0 0 0 0 0 0 0 0 0 0 0
8:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 0 1 0 0 0 0 1
B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 16:00 0 0 0 0 0 0 0 0 1 0 0 0 1
16:15 0 0 0 0 0 0 0 0 0 0 0 0 0
16:30 0 0 0 0 0 0 0 0 0 0 0 0 0
16:45 0 0 0 0 0 0 0 0 0 0 0 0 0
17:00 0 0 0 0 0 0 0 0 0 0 0 0 0
17:15 0 0 0 0 0 0 0 0 0 0 0 0 0
17:30 0 0 0 0 0 0 0 0 0 0 0 0 0
17:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 0 0 1 0 0 0 1
0 0 0
0 0 0 0 0
0 0
0 0
ITM-22-009-06
LLG Ref. 3-22-3523
0 0 0 0 0 0
Ped
0 0 0 0 0
AM
#07
Capalina Road & Hollencrest Road
Thursday, February 17, 2022 Santa Fe Las Flores
Ped Ped Ped Ped
0 0
Ped
0 Hollencrest Road
Southbound
9 0
0 0
0 0
Capalina Road
0 Capalina Road
Northbound
Ped
0 0
0 0
Westbound
Ped
4 10
0 0
2 0
0 -
Eastbound
Ped
0 0
0 Totals
4 Ped
10 2
90 0
0 TotalsSouthbound Westbound Northbound
0 1
0 26 0 0
0 0
00 26
1 0
0 Eastbound
0 PM
Capalina Road Hollencrest Road Capalina Road -
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0
0 0 0
0 Intersection Turning Movement - Bicycle & Pedestrian Count Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | 1373
Location: File Name:

Intersection: Project:

Date of Count:

Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | LLG Ref. 3-22-3523
Santa Fe Las Flores
N
Intersection Turning Movement - Peak Hour Summary
#07
Capalina Road & Hollencrest Road
Thursday, February 17, 2022
ITM-22-009-06
0 / 0
PM: 0 0 0 0
AM: 0 0 0 0 Time Period
AM = 07:15 to 08:15
PM = 16:00 to 17:00
26 / 0
AM: 104 0 5 0
PM: 33 0 3 0
Capalina Road
AM: 0 0 187 0
PM: 0 0 100 2
0 / 0 Hollencrest Road
- 0 / 0
Capalina Road
AM: 0 67 48 1
PM: 0 153 80 1
1374
Location: File Name:

Intersection: Project:

Date of Count:

Left Thru Right Left Thru Right Left Thru Right Left Thru Right Total 7:00 0 70 1 18 2 5 20 78 23 0 9 43 269
7:15 1 102 0 30 5 4 32 46 32 1 7 51 311
7:30 3 91 0 18 1 5 29 76 31 2 8 78 342
7:45 6 97 0 22 5 4 49 76 32 0 5 77 373
8:00 3 82 2 19 4 2 35 94 24 3 1 40 309
8:15 0 91 4 26 2 6 41 81 28 0 2 36 317
8:30 5 85 4 13 2 3 33 90 24 2 7 33 301
8:45 1 68 4 18 5 5 30 84 33 2 3 17 270
Total 19 686 15 164 26 34 269 625 227 10 42 375 2492
Approach% 2.6 95.3 2.1 73.2 11.6 15.2 24.0 55.8 20.2 2.3 9.8 87.8 Total% 0.8 27.5 0.6 6.6 1.0 1.4 10.8 25.1 9.1 0.4 1.7 15.0 AM Intersection Peak Hour:

Volume 12 361 6 85 12 17 154 327 115 5 16 231 1,341 Approach% 3.2 95.3 1.6 74.6 10.5 14.9 25.8 54.9 19.3 2.0 6.3 91.7 Total% 0.9 26.9 0.4 6.3 0.9 1.3 11.5 24.4 8.6 0.4 1.2 17.2 PHF 0.92 0.84 0.95 0.72 0.90
Left Thru Right Left Thru Right U-Turn Thru Right Left Thru Right Total 16:00 6 91 6 16 3 13 63 163 25 3 8 22 419
16:15 5 68 0 16 5 9 48 145 27 3 3 23 352
16:30 3 86 7 26 9 9 39 173 30 2 7 24 415
16:45 4 75 4 13 11 5 60 139 30 0 11 33 385
17:00 3 100 5 26 5 5 42 160 18 2 0 19 385
17:15 3 83 5 19 8 2 54 152 23 3 4 33 389
17:30 2 78 1 17 9 9 42 123 22 4 10 33 350
17:45 5 75 7 20 11 4 56 122 36 0 10 29 375
Total 31 656 35 153 61 56 404 1177 211 17 53 216 3070
Approach% 4.3 90.9 4.8 56.7 22.6 20.7 22.5 65.7 11.8 5.9 18.5 75.5 Total% 1.0 21.4 1.1 5.0 2.0 1.8 13.2 38.3 6.9 0.6 1.7 7.0 PM Intersection Peak Hour:

Volume 13 344 21 84 33 21 195 624 101 7 22 109 1,574 Approach% 3.4 91.0 5.6 60.9 23.9 15.2 21.2 67.8 11.0 5.1 15.9 79.0 Total% 0.8 21.9 1.3 5.3 2.1 1.3 12.4 39.6 6.4 0.4 1.4 6.9 PHF 0.88 0.78 0.95 0.78 0.95
16:30 to 17:30
ITM-22-009-07
LLG Ref. 3-22-3523
Westbound Northbound Eastbound
Santa Fe Las Flores
Capalina Road
Southbound
N. Rancho Santa Fe Road
Southbound
Westbound
N. Rancho Santa Fe Road
Northbound
Capalina Road
Eastbound
N. Rancho Santa Fe Road
07:30 to 08:30
AM
#08
Capalina Road & N. Rancho Santa Fe Road
Thursday, February 17, 2022
PM
Capalina Road N. Rancho Santa Fe Road Capalina Road
Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | Intersection Turning Movement - Peak Hour Vehicle Count 1375
Location: File Name:

Intersection: Project:

Date of Count:

B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 7:00 0 0 0 0 0 0 0 0 0 0 0 0 0
7:15 0 0 0 0 0 0 0 0 0 0 0 0 0
7:30 0 0 0 0 0 0 0 0 0 0 0 0 0
7:45 0 0 0 1 0 0 0 0 0 0 0 0 1
8:00 0 0 0 0 0 0 0 0 0 0 0 0 0
8:15 0 0 0 0 0 0 0 0 0 0 0 0 0
8:30 0 0 0 0 0 0 0 0 0 0 0 0 0
8:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 1 0 0 0 0 0 0 0 0 1
B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 16:00 0 0 0 0 0 0 1 0 0 0 0 0 1
16:15 0 0 0 0 0 0 0 0 0 0 0 0 0
16:30 0 0 0 0 0 0 0 0 0 0 0 0 0
16:45 0 0 0 0 0 0 1 0 0 0 0 0 1
17:00 0 0 0 0 0 0 0 0 0 0 0 0 0
17:15 0 0 0 0 0 0 0 0 2 0 0 0 2
17:30 0 0 0 0 0 0 0 0 0 0 0 0 0
17:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 2 0 2 0 0 0 4
7 17 3
3 0 0 1 4
0 8
7 11
ITM-22-009-07
LLG Ref. 3-22-3523
6 1 0 0 0 1
Ped
3 0 9 0 12
AM
#08
Capalina Road & N. Rancho Santa Fe Road
Thursday, February 17, 2022 Santa Fe Las Flores
Ped Ped Ped Ped
0 0
Ped
0 N. Rancho Santa Fe Road
Southbound
0 1
0 1
0 0
Capalina Road
0 Capalina Road
Northbound
Ped
0 2
0 0
Westbound
Ped
0 0
0 0
0 2
1 N. Rancho Santa Fe Road
Eastbound
Ped
0 0
0 Totals
0 Ped
2 0
00 1
0 TotalsSouthbound Westbound Northbound
11 10
0 8 16 2
1 0
50 26
1 5
9 Eastbound
22 PM
Capalina Road N. Rancho Santa Fe Road Capalina Road N. Rancho Santa Fe Road 0 2 4 0
0 0 0 0
6 1 0 1
4 5 3 3 0
1 1 1
49 Intersection Turning Movement - Bicycle & Pedestrian Count Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | 1376
Location: File Name:

Intersection: Project:

Date of Count:

Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | LLG Ref. 3-22-3523
Santa Fe Las Flores
N
Intersection Turning Movement - Peak Hour Summary
#08
Capalina Road & N. Rancho Santa Fe Road
Thursday, February 17, 2022
ITM-22-009-07
2 / 3
PM: 7 22 109 0
AM: 5 16 231 0 Time Period
AM = 07:30 to 08:30
PM = 16:30 to 17:30
8 / 7
AM: 85 12 17 1
PM: 84 33 21 0
Capalina Road
AM: 0 6 361 12
PM: 0 21 344 13
0 / 22 N. Rancho Santa Fe Road
N. Rancho Santa Fe Road 16 / 17
Capalina Road
AM: 154 327 115 0
PM: 195 624 101 4
1377
Location: File Name:

Intersection: Project:

Date of Count:

Volume 13 344 21 84 33 21 195 624 101 7 22 109 1,574 Approach% 3.4 91.0 5.6 60.9 23.9 15.2 21.2 67.8 11.0 5.1 15.9 79.0 Total% 0.8 21.9 1.3 5.3 2.1 1.3 12.4 39.6 6.4 0.4 1.4 6.9 PHF 0.88 0.78 0.95 0.78 0.95
16:30 to 17:30
#07 Revised ITM-22-009-07
N. Rancho Santa Fe Road & Capalina Road LLG Ref. 3-22-3523 Westbound Northbound Eastbound
Santa Fe Las Flores
N. Rancho Santa Fe Rd
Southbound
Capalina Road
Southbound
Westbound
Capalina Road
Northbound
N. Rancho Santa Fe Rd
Eastbound
Capalina Road
07:30 to 08:30
AM
Thursday, February 17, 2022
PM
N. Rancho Santa Fe Rd Capalina Road N. Rancho Santa Fe Rd Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | Intersection Turning Movement - Peak Hour Vehicle Count 1378
Location: File Name:

Intersection: Project:

Date of Count:

B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 7:00 0 0 0 0 0 0 0 0 0 0 0 0 0
7:15 0 0 0 0 0 0 0 0 0 0 0 0 0
7:30 0 0 0 0 0 0 0 0 0 0 0 0 0
7:45 0 0 0 1 0 0 0 0 0 0 0 0 1
8:00 0 0 0 0 0 0 0 0 0 0 0 0 0
8:15 0 0 0 0 0 0 0 0 0 0 0 0 0
8:30 0 0 0 0 0 0 0 0 0 0 0 0 0
8:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 1 0 0 0 0 0 0 0 0 1
B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right B-Left B-Thru B-Right Bicycle 16:00 0 0 0 0 0 0 1 0 0 0 0 0 1
16:15 0 0 0 0 0 0 0 0 0 0 0 0 0
16:30 0 0 0 0 0 0 0 0 0 0 0 0 0
16:45 0 0 0 0 0 0 1 0 0 0 0 0 1
17:00 0 0 0 0 0 0 0 0 0 0 0 0 0
17:15 0 0 0 0 0 0 0 0 2 0 0 0 2
17:30 0 0 0 0 0 0 0 0 0 0 0 0 0
17:45 0 0 0 0 0 0 0 0 0 0 0 0 0
Ped Total
Bike Total 0 0 0 0 0 0 2 0 2 0 0 0 4
7 17 3
3 0 0 1 4
0 8
7 11
#07 Revised ITM-22-009-07
N. Rancho Santa Fe Road & Capalina Road LLG Ref. 3-22-3523 6 1 0 0 0 1
Ped
3 0 9 0 12
AM
Thursday, February 17, 2022 Santa Fe Las Flores
Ped Ped Ped Ped
0 0
Ped
0 Capalina Road
Southbound
0 1
0 1
0 0
N. Rancho Santa Fe Rd
0 N. Rancho Santa Fe Rd
Northbound
Ped
0 2
0 0
Westbound
Ped
0 0
0 0
0 2
1 Capalina Road
Eastbound
Ped
0 0
0 Totals
0 Ped
2 0
00 1
0 TotalsSouthbound Westbound Northbound
11 10
0 8 16 2
1 0
50 26
1 5
9 Eastbound
22 PM
N. Rancho Santa Fe Rd Capalina Road N. Rancho Santa Fe Rd Capalina Road 0 2 4 0
0 0 0 0
6 1 0 1
4 5 3 3 0
1 1 1
49 Intersection Turning Movement - Bicycle & Pedestrian Count Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | 1379
Location: File Name:

Intersection: Project:

Date of Count:

Report Generated by Bearcat Enterprises LLC, DBA "Count Data" | 619-987-5136 | N. Rancho Santa Fe Road & Capalina Road LLG Ref. 3-22-3523 Thursday, February 17, 2022 Santa Fe Las Flores
N
Intersection Turning Movement - Peak Hour Summary
#07 Revised ITM-22-009-07
2 / 3
PM: 7 22 109 0
AM: 5 16 231 0 Time Period
AM = 07:30 to 08:30
PM = 16:30 to 17:30
8 / 7
AM: 85 12 17 1
PM: 84 33 21 0
N. Rancho Santa Fe Rd
AM: 0 6 361 12
PM: 0 21 344 13
0 / 22 Capalina Road
Capalina Road 16 / 17
N. Rancho Santa Fe Rd
AM: 154 327 115 0
PM: 195 624 101 4
1380
Location: BC 22-009 Loc #A S. Santa Fe Ave, between Smilax Rd and Bosstick Blvd Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Total Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 54 36 18 37 105 351 593 989 906 682 683 767 827 771 1081 1294 1755 1519 866 587 377 283 169 104 20 11 4 6 11 45 110 200 262 161 177 192 185 153 221 286 426 444 266 174 96 81 57 31 20 8 4 11 12 75 126 259 238 181 168 189 198 210 248 310 438 400 240 173 90 84 38 22 9 9 5 9 33 114 148 265 218 148 169 191 212 197 312 347 450 378 195 127 96 55 40 26 5 8 5 11 49 117 209 265 188 192 169 195 232 211 300 351 441 297 165 113 95 63 34 25 Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Northbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 32 18 9 22 58 152 229 451 425 329 325 376 404 397 543 560 813 751 397 307 191 149 87 58 11 6 2 1 3 23 56 86 131 87 75 104 90 83 107 128 169 199 124 88 58 43 25 15 11 3 3 6 7 25 52 114 117 84 65 91 93 105 128 133 183 197 100 89 35 41 21 14 7 5 1 8 18 60 45 115 93 69 90 81 106 100 152 135 245 192 91 77 50 24 23 19 3 4 3 7 30 44 76 136 84 89 95 100 115 109 156 164 216 163 82 53 48 41 18 10 Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Southbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 22 18 9 15 47 199 364 538 481 353 358 391 423 374 538 734 942 768 469 280 186 134 82 46 9 5 2 5 8 22 54 114 131 74 102 88 95 70 114 158 257 245 142 86 38 38 32 16 9 5 1 5 5 50 74 145 121 97 103 98 105 105 120 177 255 203 140 84 55 43 17 8 2 4 4 1 15 54 103 150 125 79 79 110 106 97 160 212 205 186 104 50 46 31 17 7 2 4 2 4 19 73 133 129 104 103 74 95 117 102 144 187 225 134 83 60 47 22 16 15 7771
Report Generated by "Count Data" all rights reserved
Linscott, Law & Greenspan, Engineers
4542 Ruffner Street, Suite 100, San Diego, CA 92111
Average Daily Traffic
14854
7083
1381
Location: BC 22-009 Loc #B S. Santa Fe Ave, between Bosstick Blvd and Las Flores Dr Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Total Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 55 37 28 44 120 410 769 1112 1009 796 818 857 923 932 1220 1413 1830 1658 948 641 441 304 188 104 18 12 5 10 11 54 158 226 285 182 209 203 217 186 257 314 425 496 308 196 121 85 55 30 19 7 7 12 17 84 160 279 277 202 202 213 242 250 283 327 467 441 261 187 94 86 42 19 11 8 6 10 40 131 180 288 250 197 205 217 215 238 370 375 481 407 200 122 115 64 53 32 7 10 10 12 52 141 271 319 197 215 202 224 249 258 310 397 457 314 179 136 111 69 38 23 Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Northbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 31 17 13 25 78 236 394 539 483 396 400 421 447 478 555 593 779 760 430 330 213 156 95 57 11 6 3 4 3 32 92 117 155 98 94 106 100 102 126 138 158 215 135 97 66 41 28 14 7 3 4 5 12 44 84 130 136 100 90 98 120 119 130 140 190 201 123 100 37 39 23 12 8 3 1 8 28 76 78 129 110 96 107 102 108 122 159 134 208 183 86 66 54 32 28 21 5 5 5 8 35 84 140 163 82 102 109 115 119 135 140 181 223 161 86 67 56 44 16 10 Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Southbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24 20 15 19 42 174 375 573 526 400 418 436 476 454 665 820 1051 898 518 311 228 148 93 47 7 6 2 6 8 22 66 109 130 84 115 97 117 84 131 176 267 281 173 99 55 44 27 16 12 4 3 7 5 40 76 149 141 102 112 115 122 131 153 187 277 240 138 87 57 47 19 7 3 5 5 2 12 55 102 159 140 101 98 115 107 116 211 241 273 224 114 56 61 32 25 11 2 5 5 4 17 57 131 156 115 113 93 109 130 123 170 216 234 153 93 69 55 25 22 13 8731
Report Generated by "Count Data" all rights reserved
Linscott, Law & Greenspan, Engineers
4542 Ruffner Street, Suite 100, San Diego, CA 92111
Average Daily Traffic
16657
7926
1382
Location: BC 22-009 Loc #C S. Santa Fe Ave, between Las Flores Dr and N. Rancho Santa Fe Rd Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Total Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 18 23 18 20 119 396 774 1202 1093 802 861 880 936 951 1262 1439 1664 848 508 273 226 143 96 43 5 6 3 5 7 47 157 236 307 197 222 205 213 204 257 330 447 257 169 85 60 42 27 14 9 6 3 7 18 82 157 305 282 203 209 219 253 255 292 312 480 230 138 78 55 51 20 6 3 6 6 3 37 129 184 330 273 200 211 231 218 244 385 393 444 216 118 49 60 29 24 10 1 5 6 5 57 138 276 331 231 202 219 225 252 248 328 404 293 145 83 61 51 21 25 13 Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Northbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0 0 0 0 63 208 360 518 517 390 413 431 464 501 587 643 659 0 1 0 0 0 0 0 0 0 0 0 0 28 76 98 149 105 99 103 107 111 125 151 186 0 0 0 0 0 0 0 0 0 0 0 8 42 71 132 142 96 96 101 123 139 130 144 219 0 0 0 0 0 0 0 0 0 0 0 21 67 78 127 113 92 103 111 110 126 183 159 192 0 0 0 0 0 0 0 0 0 0 0 34 71 135 161 113 97 115 116 124 125 149 189 62 0 1 0 0 0 0 0 Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Southbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 18 23 18 20 56 188 414 684 576 412 448 449 472 450 675 796 1005 848 507 273 226 143 96 43 5 6 3 5 7 19 81 138 158 92 123 102 106 93 132 179 261 257 169 85 60 42 27 14 9 6 3 7 10 40 86 173 140 107 113 118 130 116 162 168 261 230 138 78 55 51 20 6 3 6 6 3 16 62 106 203 160 108 108 120 108 118 202 234 252 216 118 49 60 29 24 10 1 5 6 5 23 67 141 170 118 105 104 109 128 123 179 215 231 145 82 61 51 21 25 13 8840
Report Generated by "Count Data" all rights reserved
Linscott, Law & Greenspan, Engineers
4542 Ruffner Street, Suite 100, San Diego, CA 92111
Average Daily Traffic
14595
5755
1383
Location: BC 22-009 Loc #D S. Santa Fe Ave-Mission Rd, between N. Rancho Santa Fe Rd and N. Pacific St Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Total Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 38 32 21 36 68 267 468 983 836 534 516 576 643 651 1000 1298 1772 1650 821 491 337 243 162 57 13 10 7 9 12 27 80 162 233 136 119 140 135 141 177 272 438 472 290 138 88 74 49 13 15 7 2 9 10 49 95 244 220 161 133 148 179 159 246 346 483 427 233 142 86 77 43 12 6 6 4 6 24 99 112 310 200 124 124 131 140 164 298 329 413 435 165 112 74 38 40 19 4 9 8 12 22 92 181 267 183 113 140 157 189 187 279 351 438 316 133 99 89 54 30 13 Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Northbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 13 18 8 20 36 146 216 452 418 268 226 270 306 317 460 442 627 691 333 258 159 113 74 22 5 6 1 4 7 18 38 70 128 75 52 77 66 77 83 82 150 189 107 72 44 33 22 2 3 3 0 6 3 25 42 120 109 85 59 72 82 82 105 131 151 188 101 75 40 34 21 6 2 3 1 4 13 52 52 133 89 58 55 56 72 75 154 105 155 178 63 65 28 17 18 9 3 6 6 6 13 51 84 129 92 50 60 65 86 83 118 124 171 136 62 46 47 29 13 5 Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Southbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 25 14 13 16 32 121 252 531 418 266 290 306 337 334 540 856 1145 959 488 233 178 130 88 35 8 4 6 5 5 9 42 92 105 61 67 63 69 64 94 190 288 283 183 66 44 41 27 11 12 4 2 3 7 24 53 124 111 76 74 76 97 77 141 215 332 239 132 67 46 43 22 6 4 3 3 2 11 47 60 177 111 66 69 75 68 89 144 224 258 257 102 47 46 21 22 10 1 3 2 6 9 41 97 138 91 63 80 92 103 104 161 227 267 180 71 53 42 25 17 8 7607
Report Generated by "Count Data" all rights reserved
Linscott, Law & Greenspan, Engineers
4542 Ruffner Street, Suite 100, San Diego, CA 92111
Average Daily Traffic
13500
5893
1384
Location: BC 22-009 Loc #E Hollencrest Rd, between De Leone Rd and Hollenbeck Rd Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Total Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 9 2 1 4 3 11 28 32 41 19 15 16 21 31 36 34 61 53 52 34 20 29 5 5 2 1 0 1 1 0 10 9 16 4 5 3 6 12 5 13 14 13 15 9 3 6 5 2
5 1 0 3 0 1 1 5 7 4 3 5 2 4 6 3 17 6 13 10 8 9 0 2
0 0 0 0 1 4 6 9 13 7 3 3 9 7 10 10 14 19 17 5 5 8 0 1
2 0 1 0 1 6 11 9 5 4 4 5 4 8 15 8 16 15 7 10 4 6 0 0
Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Northbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 5 1 1 1 2 4 14 12 13 10 8 8 4 11 15 16 27 22 28 10 11 16 1 5 1 1 0 0 1 0 5 5 7 2 3 2 3 5 3 10 5 5 9 4 1 2 1 2
3 0 0 1 0 1 1 0 1 2 1 3 0 1 2 2 7 2 6 4 4 4 0 2
0 0 0 0 1 2 2 5 5 5 3 2 1 3 4 2 5 10 8 0 3 6 0 1
1 0 1 0 0 1 6 2 0 1 1 1 0 2 6 2 10 5 5 2 3 4 0 0
Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Southbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 4 1 0 3 1 7 14 20 28 9 7 8 17 20 21 18 34 31 24 24 9 13 4 0 1 0 0 1 0 0 5 4 9 2 2 1 3 7 2 3 9 8 6 5 2 4 4 0
2 1 0 2 0 0 0 5 6 2 2 2 2 3 4 1 10 4 7 6 4 5 0 0
0 0 0 0 0 2 4 4 8 2 0 1 8 4 6 8 9 9 9 5 2 2 0 0
1 0 0 0 1 5 5 7 5 3 3 4 4 6 9 6 6 10 2 8 1 2 0 0
317
Report Generated by "Count Data" all rights reserved
Linscott, Law & Greenspan, Engineers
4542 Ruffner Street, Suite 100, San Diego, CA 92111
Average Daily Traffic
562
245
1385
Location: BC 22-009 Loc #F N. Rancho Santa Fe Rd, between S. Santa Fe Ave and Capalina Rd Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Total Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 38 30 21 25 100 290 538 706 772 625 682 692 679 690 783 1007 1069 1019 726 419 355 234 144 84 10 6 5 6 9 35 108 159 216 171 183 171 162 149 175 235 261 286 206 129 91 61 40 27 17 7 6 11 16 64 112 177 199 144 167 193 184 183 191 220 277 250 192 109 81 65 33 14 7 8 4 5 35 92 137 179 186 160 166 165 151 188 219 268 269 269 169 97 89 58 37 25 4 9 6 3 40 99 181 191 171 150 166 163 182 170 198 284 262 214 159 84 94 50 34 18 Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Eastbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 30 13 9 11 55 142 259 301 340 306 352 356 359 386 399 628 720 639 433 236 203 146 88 58 10 3 4 3 3 18 52 61 88 91 87 82 87 81 91 148 171 173 122 70 56 40 29 18 12 4 4 4 9 32 56 73 95 61 78 93 98 103 101 145 196 144 118 68 44 34 21 10 6 2 1 3 22 46 59 69 80 74 93 89 79 106 99 162 168 172 99 51 47 36 21 20 2 4 0 1 21 46 92 98 77 80 94 92 95 96 108 173 185 150 94 47 56 36 17 10 Date: Tuesday, March 1, 2022 Total Daily Volume: Description: Westbound Volume 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 8 17 12 14 45 148 279 405 432 319 330 336 320 304 384 379 349 380 293 183 152 88 56 26 0 3 1 3 6 17 56 98 128 80 96 89 75 68 84 87 90 113 84 59 35 21 11 9 5 3 2 7 7 32 56 104 104 83 89 100 86 80 90 75 81 106 74 41 37 31 12 4 1 6 3 2 13 46 78 110 106 86 73 76 72 82 120 106 101 97 70 46 42 22 16 5 2 5 6 2 19 53 89 93 94 70 72 71 87 74 90 111 77 64 65 37 38 14 17 8 5259
Report Generated by "Count Data" all rights reserved
Linscott, Law & Greenspan, Engineers
4542 Ruffner Street, Suite 100, San Diego, CA 92111
Average Daily Traffic
11728
6469
1386

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Project
N:\3940 - Santa Fe Flores\Report\Appendices\Appendix Cover Pages.docx

APPENDIX B

CITY OF SAN MARCOS ROADWAY CLASSIFICATION
TABLE

1387
21 Table 3: Roadway Classifications, Capacity, and LOS
Street Classification Lanes LOS A LOS B LOS C LOS D LOS E (Capacity)
Expressway 6 30,000 42,000 60,000 70,000 80,000
Prime Arterial 6 25,000 35,000 50,000 55,000 60,000
Major Arterial 6 20,000 28,000 40,000 45,000 50,000
Major Arterial 4 15,000 21,000 30,000 35,000 40,000
Major Arterial (One-Way) 3 12,500 16,500 22,500 25,000 27,500 Major Arterial (One-Way) 2 10,000 13,000 17,500 20,000 22,500 Secondary
Arterial/Collector 4 10,000 14,000 20,000 25,000 30,000 Collector (no center lane) 4 5,000 7,000 10,000 13,000 15,000 Collector (continuous left-
turn lane) 2 5,000 7,000 10,000 13,000 15,000
Collector (no fronting
property) 2 4,000 5,500 7,500 9,000 10,000
Collector (commercial-
industrial fronting) 2 2,500 3,500 5,000 6,500 8,000
Collector (multi-family) 2 2,500 3,500 5,000 6,500 8,000 Collector (one-way) 3 11,000 14,000 19,000 22,500 26,000 Collector (one-way) 2 7,500 9,500 12,500 15,000 17,500
Collector (one-way) 1 2,500 3,500 5,000 6,500 7,500
Sub-Collector (single-
family) 2 -- -- 2,200 -- --
Source: Guidelines for Transportation Impact Studies in the San Diego Region (May 2019) Notes: 1. The volumes and the average daily level of service listed above are only intended as a general planning outline.

2. Levels of service are not applied to residential streets since their primary purpose is to serve abutting lots, not carry through traffic. Levels of service normally apply to roads carrying through traffic between major trip generators and attractors.

3.7. LEVEL OF SERVICE STANDARDS
The City of San Marcos strives to maintain intersection and roadway segment operations based on LOS standards outlined in the General Plan Mobility Element. The local transportation analysis should note intersections and roadway segments that perform unacceptably (based on standards in the current General Plan Mobility Element) under no project and/or plus project conditions, and improvements that can be applied to increase performance to acceptable levels.

For study intersections, the study should identify if the addition of the traffic generated from the proposed project results in any one of the following, and improvements should be identified to increase performance to acceptable or pre-project conditions under each scenario:
 Triggers an intersection operating at acceptable LOS to operate at unacceptable LOS and increases the average delay per vehicle by more than 2.0 seconds.  Increases the average delay per vehicle for a study intersection that is already operating at unacceptable LOS by more than 2.0 seconds.
1388

LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Project
N:\3940 - Santa Fe Flores\Report\Appendices\Appendix Cover Pages.docx

APPENDIX C
ANALYSIS WORKSHEETS – EXISTING

1389
HCM 6th TWSC Existing AM
1: S. Santa Fe Ave & Smilax Rd 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing AM Synchro 10 Report 3-22-3523 Page 1
Intersection
Int Delay, s/veh 17.8
Movement EBL EBR NBL NBT SBT SBR
Lane Configurations
Traffic Vol, veh/h 91 147 239 283 398 215
Future Vol, veh/h 91 147 239 283 398 215
Conflicting Peds, #/hr 0 00000
Sign Control Stop Stop Free Free Free Free
RT Channelized - Stop - None - None
Storage Length 0 0 ----
Veh in Median Storage, # 0 - - 0 0 -
Grade, % 0 - - 0 0 -
Peak Hour Factor 88 88 88 88 88 88
Heavy Vehicles, % 2 22222
Mvmt Flow 103 167 272 322 452 244

Major/Minor Minor2 Major1 Major2
Conflicting Flow All 1440 574 696 0 - 0
Stage 1 574 -----
Stage 2 866 -----
Critical Hdwy 6.42 6.22 4.12 - - -
Critical Hdwy Stg 1 5.42 -----
Critical Hdwy Stg 2 5.42 -----
Follow-up Hdwy 3.518 3.318 2.218 - - -
Pot Cap-1 Maneuver 146 518 900 - - -
Stage 1 563 -----
Stage 2 412 -----
Platoon blocked, % - - -
Mov Cap-1 Maneuver ~ 92 518 900 - - -
Mov Cap-2 Maneuver ~ 92 -----
Stage 1 356 -----
Stage 2 412 -----

Approach EB NB SB
HCM Control Delay, s 91.8 4.9 0

HCM LOS F

Minor Lane/Major Mvmt NBL NBT EBLn1 EBLn2 SBT SBR
Capacity (veh/h) 900 - 92 518 - -
HCM Lane V/C Ratio 0.302 - 1.124 0.322 - -
HCM Control Delay (s) 10.7 0 215.5 15.2 - -
HCM Lane LOS B A F C - -
HCM 95th %tile Q(veh) 1.3 - 7 1.4 - -
Notes
~: Volume exceeds capacity $: Delay exceeds 300s +: Computation Not Defined *: All major volume in platoon 1390
HCM 6th Signalized Intersection Summary Existing AM
2: S. Santa Fe Ave & Bosstick Blvd 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing AM Synchro 10 Report 3-22-3523 Page 2
Movement EBL EBT EBR WBL WBT WBR NBL NBT NBR SBL SBT SBR Lane Configurations
Traffic Volume (veh/h) 10 0 22 69 0 35 21 493 86 78 466 6 Future Volume (veh/h) 10 0 22 69 0 35 21 493 86 78 466 6 Initial Q (Qb), veh 000000000000
Ped-Bike Adj(A_pbT) 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Parking Bus, Adj 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Work Zone On Approach No No No No
Adj Sat Flow, veh/h/ln 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 Adj Flow Rate, veh/h 11 0 25 78 0 40 24 560 98 89 530 7 Peak Hour Factor 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88 Percent Heavy Veh, % 222222222222
Cap, veh/h 31 0 70 212 0 188 69 684 579 189 1555 21
Arrive On Green 0.06 0.00 0.06 0.12 0.00 0.12 0.04 0.37 0.37 0.11 0.43 0.43 Sat Flow, veh/h 501 0 1139 1781 0 1585 1781 1870 1585 1781 3591 47 Grp Volume(v), veh/h 36 0 0 78 0 40 24 560 98 89 262 275 Grp Sat Flow(s),veh/h/ln 1640 0 0 1781 0 1585 1781 1870 1585 1781 1777 1862 Q Serve(g_s), s 1.2 0.0 0.0 2.3 0.0 1.3 0.7 15.4 2.4 2.7 5.6 5.6 Cycle Q Clear(g_c), s 1.2 0.0 0.0 2.3 0.0 1.3 0.7 15.4 2.4 2.7 5.6 5.6 Prop In Lane 0.31 0.69 1.00 1.00 1.00 1.00 1.00 0.03
Lane Grp Cap(c), veh/h 100 0 0 212 0 188 69 684 579 189 769 806 V/C Ratio(X) 0.36 0.00 0.00 0.37 0.00 0.21 0.35 0.82 0.17 0.47 0.34 0.34 Avail Cap(c_a), veh/h 837 0 0 251 0 223 260 1148 973 260 1091 1143 HCM Platoon Ratio 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Upstream Filter(I) 1.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Uniform Delay (d), s/veh 25.6 0.0 0.0 23.1 0.0 22.6 26.6 16.3 12.2 23.9 10.7 10.7 Incr Delay (d2), s/veh 2.2 0.0 0.0 1.1 0.0 0.6 3.0 2.5 0.1 1.8 0.3 0.2 Initial Q Delay(d3),s/veh 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 %ile BackOfQ(50%),veh/ln 0.5 0.0 0.0 1.0 0.0 0.5 0.3 5.6 0.7 1.1 1.7 1.8 Unsig. Movement Delay, s/veh
LnGrp Delay(d),s/veh 27.8 0.0 0.0 24.1 0.0 23.2 29.6 18.8 12.3 25.7 11.0 11.0 LnGrp LOS C A A C A C C B B C B B
Approach Vol, veh/h 36 118 682 626
Approach Delay, s/veh 27.8 23.8 18.3 13.1
Approach LOS C C B B
Timer - Assigned Phs 1 2 4 5 6 8
Phs Duration (G+Y+Rc), s 10.2 26.2 9.0 6.4 30.0 11.5
Change Period (Y+Rc), s * 4.2 5.4 5.5 * 4.2 5.4 4.7
Max Green Setting (Gmax), s * 8.3 34.9 29.0 * 8.3 34.9 8.0 Max Q Clear Time (g_c+I1), s 4.7 17.4 3.2 2.7 7.6 4.3
Green Ext Time (p_c), s 0.1 3.4 0.1 0.0 2.9 0.1
Intersection Summary
HCM 6th Ctrl Delay 16.7
HCM 6th LOS B
Notes
* HCM 6th computational engine requires equal clearance times for the phases crossing the barrier. 1391
Existing AMHCM 6th TWSC
3: Community Dr & S. Santa Fe Ave 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing AM Synchro 10 Report 3-22-3523 Page 3
Intersection
Int Delay, s/veh 0.3
Movement EBT EBR WBL WBT NBL NBR
Lane Configurations
Traffic Vol, veh/h 662 6 10 601 9 7
Future Vol, veh/h 662 6 10 601 9 7
Conflicting Peds, #/hr 0 00000
Sign Control Free Free Free Free Stop Stop
RT Channelized - None - None - None
Storage Length - - 150 - 0 -
Veh in Median Storage, # 0 - - 0 0 -
Grade, % 0 - - 0 0 -
Peak Hour Factor 94 94 94 94 94 94
Heavy Vehicles, % 2 22222
Mvmt Flow 704 6 11 639 10 7
Major/Minor Major1 Major2 Minor1
Conflicting Flow All 0 0 710 0 1049 355
Stage 1 - - - - 707 -
Stage 2 - - - - 342 -
Critical Hdwy - - 4.14 - 6.84 6.94
Critical Hdwy Stg 1 - - - - 5.84 -
Critical Hdwy Stg 2 - - - - 5.84 -
Follow-up Hdwy - - 2.22 - 3.52 3.32
Pot Cap-1 Maneuver - - 885 - 223 641
Stage 1 - - - - 450 -
Stage 2 - - - - 691 -
Platoon blocked, % - - -
Mov Cap-1 Maneuver - - 885 - 220 641
Mov Cap-2 Maneuver - - - - 220 -
Stage 1 - - - - 450 -
Stage 2 - - - - 683 -
Approach EB WB NB
HCM Control Delay, s 0 0.1 17.3

HCM LOS C
Minor Lane/Major Mvmt NBLn1 EBT EBR WBL WBT
Capacity (veh/h) 309 - - 885 -
HCM Lane V/C Ratio 0.055 - - 0.012 -
HCM Control Delay (s) 17.3 - - 9.1 -
HCM Lane LOS C - - A -
HCM 95th %tile Q(veh) 0.2 - - 0 -
1392
HCM 6th Signalized Intersection Summary Existing AM
4: Las Flores Dr & S. Santa Fe Ave 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing AM Synchro 10 Report 3-22-3523 Page 4
Movement EBL EBT EBR WBL WBT WBR NBL NBT NBR SBL SBT SBR Lane Configurations
Traffic Volume (veh/h) 35 511 27 44 494 34 40 2 29 127 11 38 Future Volume (veh/h) 35 511 27 44 494 34 40 2 29 127 11 38 Initial Q (Qb), veh 000000000000
Ped-Bike Adj(A_pbT) 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Parking Bus, Adj 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Work Zone On Approach No No No No
Adj Sat Flow, veh/h/ln 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 Adj Flow Rate, veh/h 39 568 30 49 549 38 44 2 32 141 12 42 Peak Hour Factor 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 Percent Heavy Veh, % 222222222222
Cap, veh/h 105 839 44 106 879 392 131 11 179 279 68 237 Arrive On Green 0.06 0.24 0.24 0.06 0.25 0.25 0.07 0.12 0.12 0.16 0.19 0.19 Sat Flow, veh/h 1781 3433 181 1781 3554 1585 1781 94 1505 1781 365 1276 Grp Volume(v), veh/h 39 294 304 49 549 38 44 0 34 141 0 54 Grp Sat Flow(s),veh/h/ln 1781 1777 1838 1781 1777 1585 1781 0 1599 1781 0 1641 Q Serve(g_s), s 1.0 7.3 7.4 1.3 6.7 0.9 1.2 0.0 0.9 3.6 0.0 1.4 Cycle Q Clear(g_c), s 1.0 7.3 7.4 1.3 6.7 0.9 1.2 0.0 0.9 3.6 0.0 1.4 Prop In Lane 1.00 0.10 1.00 1.00 1.00 0.94 1.00 0.78
Lane Grp Cap(c), veh/h 105 434 449 106 879 392 131 0 191 279 0 305 V/C Ratio(X) 0.37 0.68 0.68 0.46 0.62 0.10 0.34 0.00 0.18 0.51 0.00 0.18 Avail Cap(c_a), veh/h 258 797 825 222 1529 682 291 0 1142 411 0 1255 HCM Platoon Ratio 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Upstream Filter(I) 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 1.00 0.00 1.00 Uniform Delay (d), s/veh 22.2 16.8 16.8 22.3 16.4 14.2 21.6 0.0 19.4 18.9 0.0 16.8 Incr Delay (d2), s/veh 2.2 1.8 1.8 3.1 0.7 0.1 1.5 0.0 0.4 1.4 0.0 0.3 Initial Q Delay(d3),s/veh 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 %ile BackOfQ(50%),veh/ln 0.4 2.6 2.7 0.6 2.3 0.3 0.5 0.0 0.3 1.5 0.0 0.5 Unsig. Movement Delay, s/veh
LnGrp Delay(d),s/veh 24.4 18.6 18.6 25.4 17.2 14.3 23.1 0.0 19.9 20.3 0.0 17.1 LnGrp LOS C B B C B B C A B C A B
Approach Vol, veh/h 637 636 78 195
Approach Delay, s/veh 18.9 17.6 21.7 19.4
Approach LOS B B C B
Timer - Assigned Phs 12345678
Phs Duration (G+Y+Rc), s 7.4 17.4 9.1 15.1 7.3 17.5 12.4 11.8 Change Period (Y+Rc), s 4.5 5.4 5.5 6.0 4.4 5.4 * 4.7 6.0 Max Green Setting (Gmax), s 6.1 22.0 8.0 37.5 7.1 21.1 * 11 35.0 Max Q Clear Time (g_c+I1), s 3.3 9.4 3.2 3.4 3.0 8.7 5.6 2.9 Green Ext Time (p_c), s 0.0 2.6 0.0 0.3 0.0 2.7 0.2 0.1 Intersection Summary
HCM 6th Ctrl Delay 18.6
HCM 6th LOS B
Notes
* HCM 6th computational engine requires equal clearance times for the phases crossing the barrier. 1393
HCM 6th TWSC Existing AM
5: Las Flores Dr & Hollencrest Rd 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing AM Synchro 10 Report 3-22-3523 Page 5
Intersection
Int Delay, s/veh 2.3
Movement WBL WBR NBT NBR SBL SBT
Lane Configurations
Traffic Vol, veh/h 7 25 51 4 12 61
Future Vol, veh/h 7 25 51 4 12 61
Conflicting Peds, #/hr 0 00000
Sign Control Stop Stop Free Free Free Free
RT Channelized - None - None - None
Storage Length 0 -----
Veh in Median Storage, # 0 - 0 - - 0
Grade, % 0 - 0 - - 0
Peak Hour Factor 85 85 85 85 85 85
Heavy Vehicles, % 2 22222
Mvmt Flow 8 29 60 5 14 72

Major/Minor Minor1 Major1 Major2
Conflicting Flow All 163 63 0 0 65 0
Stage 1 63 -----
Stage 2 100 -----
Critical Hdwy 6.42 6.22 - - 4.12 -
Critical Hdwy Stg 1 5.42 -----
Critical Hdwy Stg 2 5.42 -----
Follow-up Hdwy 3.518 3.318 - - 2.218 -
Pot Cap-1 Maneuver 828 1002 - - 1537 -
Stage 1 960 -----
Stage 2 924 -----
Platoon blocked, % - - -
Mov Cap-1 Maneuver 821 1002 - - 1537 -
Mov Cap-2 Maneuver 821 -----
Stage 1 960 -----
Stage 2 916 -----

Approach WB NB SB
HCM Control Delay, s 8.9 0 1.2

HCM LOS A

Minor Lane/Major Mvmt NBT NBRWBLn1 SBL SBT
Capacity (veh/h) - - 956 1537 -
HCM Lane V/C Ratio - - 0.039 0.009 -
HCM Control Delay (s) - - 8.9 7.4 0
HCM Lane LOS - - A A A
HCM 95th %tile Q(veh) - - 0.1 0 -
1394
HCM 6th Signalized Intersection Summary Existing AM
6: W. Mission Rd/S. Santa Fe Ave & N. Rancho Santa Fe Rd 03/30/2022 Santa Fe Las Flores 03/17/2022 Existing AM Synchro 10 Report 3-22-3523 Page 6
Movement EBL EBR NBL NBT SBU SBT SBR
Lane Configurations
Traffic Volume (veh/h) 236 86 116 336 0 400 273
Future Volume (veh/h) 236 86 116 336 0 400 273
Initial Q (Qb), veh 0000 00
Ped-Bike Adj(A_pbT) 1.00 1.00 1.00 1.00
Parking Bus, Adj 1.00 1.00 1.00 1.00 1.00 1.00
Work Zone On Approach No No No
Adj Sat Flow, veh/h/ln 1870 1870 1870 1870 1870 1870
Adj Flow Rate, veh/h 254 92 125 361 430 294
Peak Hour Factor 0.93 0.93 0.93 0.93 0.93 0.93
Percent Heavy Veh, % 2222 22
Cap, veh/h 610 886 251 1924 1025 457
Arrive On Green 0.18 0.18 0.14 0.54 0.29 0.29
Sat Flow, veh/h 3456 2790 1781 3647 3647 1585
Grp Volume(v), veh/h 254 92 125 361 430 294
Grp Sat Flow(s),veh/h/ln 1728 1395 1781 1777 1777 1585
Q Serve(g_s), s 2.9 1.0 2.9 2.3 4.4 7.2
Cycle Q Clear(g_c), s 2.9 1.0 2.9 2.3 4.4 7.2
Prop In Lane 1.00 1.00 1.00 1.00
Lane Grp Cap(c), veh/h 610 886 251 1924 1025 457
V/C Ratio(X) 0.42 0.10 0.50 0.19 0.42 0.64
Avail Cap(c_a), veh/h 1392 1517 399 3133 2736 1220
HCM Platoon Ratio 1.00 1.00 1.00 1.00 1.00 1.00
Upstream Filter(I) 1.00 1.00 1.00 1.00 1.00 1.00
Uniform Delay (d), s/veh 16.4 10.8 17.7 5.2 12.9 13.9
Incr Delay (d2), s/veh 0.5 0.1 1.5 0.0 0.3 1.5
Initial Q Delay(d3),s/veh 0.0 0.0 0.0 0.0 0.0 0.0
%ile BackOfQ(50%),veh/ln 1.0 1.0 1.1 0.5 1.3 2.1
Unsig. Movement Delay, s/veh
LnGrp Delay(d),s/veh 16.8 10.8 19.2 5.3 13.1 15.4
LnGrp LOS BBBA BB
Approach Vol, veh/h 346 486 724
Approach Delay, s/veh 15.2 8.9 14.1
Approach LOS B A B
Timer - Assigned Phs 2 4 5 6
Phs Duration (G+Y+Rc), s 30.3 14.4 11.3 19.0
Change Period (Y+Rc), s * 6.1 6.5 5.0 * 6.1
Max Green Setting (Gmax), s * 39 18.0 10.0 * 34
Max Q Clear Time (g_c+I1), s 4.3 4.9 4.9 9.2
Green Ext Time (p_c), s 2.3 1.0 0.1 3.7
Intersection Summary
HCM 6th Ctrl Delay 12.7
HCM 6th LOS B
Notes
User approved ignoring U-Turning movement.
* HCM 6th computational engine requires equal clearance times for the phases crossing the barrier. 1395
HCM 6th TWSC Existing AM
7: Capalina Rd & Hollencrest Rd 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing AM Synchro 10 Report 3-22-3523 Page 7
Intersection
Int Delay, s/veh 3.1
Movement EBL EBT WBT WBR SBL SBR
Lane Configurations
Traffic Vol, veh/h 0 187 67 48 104 5
Future Vol, veh/h 0 187 67 48 104 5
Conflicting Peds, #/hr 0 00000
Sign Control Free Free Free Free Stop Stop
RT Channelized - None - None - None
Storage Length - - - - 0 -
Veh in Median Storage, # - 0 0 - 0 -
Grade, % - 0 0 - 0 -
Peak Hour Factor 83 83 83 83 83 83
Heavy Vehicles, % 2 22222
Mvmt Flow 0 225 81 58 125 6

Major/Minor Major1 Major2 Minor2
Conflicting Flow All 139 0 - 0 335 110
Stage 1 - - - - 110 -
Stage 2 - - - - 225 -
Critical Hdwy 4.12 - - - 6.42 6.22
Critical Hdwy Stg 1 - - - - 5.42 -
Critical Hdwy Stg 2 - - - - 5.42 -
Follow-up Hdwy 2.218 - - - 3.518 3.318
Pot Cap-1 Maneuver 1445 - - - 660 943
Stage 1 - - - - 915 -
Stage 2 - - - - 812 -
Platoon blocked, % - - -
Mov Cap-1 Maneuver 1445 - - - 660 943
Mov Cap-2 Maneuver - - - - 660 -
Stage 1 - - - - 915 -
Stage 2 - - - - 812 -

Approach EB WB SB
HCM Control Delay, s 0 0 11.7

HCM LOS B

Minor Lane/Major Mvmt EBL EBT WBT WBR SBLn1
Capacity (veh/h) 1445 - - - 669
HCM Lane V/C Ratio ---- 0.196
HCM Control Delay (s) 0 - - - 11.7
HCM Lane LOS A - - - B
HCM 95th %tile Q(veh) 0 - - - 0.7
1396
HCM 6th Signalized Intersection Summary Existing AM
8: N. Rancho Santa Fe Rd & Capalina Rd 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing AM Synchro 10 Report 3-22-3523 Page 8
Movement EBL EBT EBR WBL WBT WBR NBL NBT NBR SBL SBT SBR Lane Configurations
Traffic Volume (veh/h) 5 16 231 85 12 17 154 327 115 12 361 6 Future Volume (veh/h) 5 16 231 85 12 17 154 327 115 12 361 6 Initial Q (Qb), veh 000000000000
Ped-Bike Adj(A_pbT) 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Parking Bus, Adj 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Work Zone On Approach No No No No
Adj Sat Flow, veh/h/ln 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 Adj Flow Rate, veh/h 6 18 257 94 13 19 171 363 128 13 401 7 Peak Hour Factor 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 Percent Heavy Veh, % 222222222222
Cap, veh/h 42 370 313 329 671 568 212 688 239 20 566 10 Arrive On Green 0.02 0.20 0.20 0.18 0.36 0.36 0.12 0.27 0.27 0.01 0.16 0.16 Sat Flow, veh/h 1781 1870 1585 1781 1870 1585 1781 2587 899 1781 3574 62 Grp Volume(v), veh/h 6 18 257 94 13 19 171 248 243 13 199 209 Grp Sat Flow(s),veh/h/ln 1781 1870 1585 1781 1870 1585 1781 1777 1709 1781 1777 1859 Q Serve(g_s), s 0.2 0.5 10.4 3.1 0.3 0.5 6.3 8.0 8.2 0.5 7.1 7.2 Cycle Q Clear(g_c), s 0.2 0.5 10.4 3.1 0.3 0.5 6.3 8.0 8.2 0.5 7.1 7.2 Prop In Lane 1.00 1.00 1.00 1.00 1.00 0.53 1.00 0.03
Lane Grp Cap(c), veh/h 42 370 313 329 671 568 212 473 455 20 281 294 V/C Ratio(X) 0.14 0.05 0.82 0.29 0.02 0.03 0.81 0.52 0.54 0.65 0.71 0.71 Avail Cap(c_a), veh/h 410 834 707 410 834 707 212 610 587 93 491 514 HCM Platoon Ratio 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Upstream Filter(I) 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Uniform Delay (d), s/veh 32.2 21.9 25.8 23.6 13.9 14.0 28.9 21.0 21.1 33.1 26.8 26.8 Incr Delay (d2), s/veh 1.5 0.1 5.3 0.5 0.0 0.0 20.1 0.9 1.0 30.3 3.3 3.1 Initial Q Delay(d3),s/veh 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 %ile BackOfQ(50%),veh/ln 0.1 0.2 4.2 1.3 0.1 0.2 3.7 3.1 3.1 0.4 3.0 3.2 Unsig. Movement Delay, s/veh
LnGrp Delay(d),s/veh 33.7 21.9 31.1 24.1 13.9 14.0 49.0 21.9 22.1 63.5 30.1 30.0 LnGrp LOS CCCCBBDCCECC
Approach Vol, veh/h 281 126 662 421
Approach Delay, s/veh 30.6 21.5 29.0 31.1
Approach LOS CCCC
Timer - Assigned Phs 12345678
Phs Duration (G+Y+Rc), s 6.8 24.3 16.4 19.8 14.0 17.1 5.6 30.6 Change Period (Y+Rc), s 6.0 6.4 4.0 6.5 6.0 6.4 4.0 6.5 Max Green Setting (Gmax), s 3.5 23.1 15.5 30.0 8.0 18.6 15.5 30.0 Max Q Clear Time (g_c+I1), s 2.5 10.2 5.1 12.4 8.3 9.2 2.2 2.5 Green Ext Time (p_c), s 0.0 2.3 0.1 0.9 0.0 1.5 0.0 0.1 Intersection Summary
HCM 6th Ctrl Delay 29.3
HCM 6th LOS C
1397
HCM 6th TWSC Existing PM
1: S. Santa Fe Ave & Smilax Rd 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing PM Synchro 10 Report 3-22-3523 Page 1
Intersection
Int Delay, s/veh 34.8
Movement EBL EBR NBL NBT SBT SBR
Lane Configurations
Traffic Vol, veh/h 103 225 143 525 641 156
Future Vol, veh/h 103 225 143 525 641 156
Conflicting Peds, #/hr 0 00000
Sign Control Stop Stop Free Free Free Free
RT Channelized - Stop - None - None
Storage Length 0 0 ----
Veh in Median Storage, # 0 - - 0 0 -
Grade, % 0 - - 0 0 -
Peak Hour Factor 88 88 88 88 88 88
Heavy Vehicles, % 2 22222
Mvmt Flow 117 256 163 597 728 177

Major/Minor Minor2 Major1 Major2
Conflicting Flow All 1740 817 905 0 - 0
Stage 1 817 -----
Stage 2 923 -----
Critical Hdwy 6.42 6.22 4.12 - - -
Critical Hdwy Stg 1 5.42 -----
Critical Hdwy Stg 2 5.42 -----
Follow-up Hdwy 3.518 3.318 2.218 - - -
Pot Cap-1 Maneuver ~ 96 376 752 - - -
Stage 1 434 -----
Stage 2 387 -----
Platoon blocked, % - - -
Mov Cap-1 Maneuver ~ 65 376 752 - - -
Mov Cap-2 Maneuver ~ 65 -----
Stage 1 293 -----
Stage 2 387 -----

Approach EB NB SB
HCM Control Delay, s 185.3 2.4 0

HCM LOS F

Minor Lane/Major Mvmt NBL NBT EBLn1 EBLn2 SBT SBR
Capacity (veh/h) 752 - 65 376 - -
HCM Lane V/C Ratio 0.216 - 1.801 0.68 - -
HCM Control Delay (s) 11.1 0$ 518.6 32.7 - -
HCM Lane LOS B A F D - -
HCM 95th %tile Q(veh) 0.8 - 10.6 4.8 - -
Notes
~: Volume exceeds capacity $: Delay exceeds 300s +: Computation Not Defined *: All major volume in platoon 1398
HCM 6th Signalized Intersection Summary Existing PM
2: S. Santa Fe Ave & Bosstick Blvd 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing PM Synchro 10 Report 3-22-3523 Page 2
Movement EBL EBT EBR WBL WBT WBR NBL NBT NBR SBL SBT SBR Lane Configurations
Traffic Volume (veh/h) 7 0 11 93 0 82 39 622 38 14 877 11 Future Volume (veh/h) 7 0 11 93 0 82 39 622 38 14 877 11 Initial Q (Qb), veh 000000000000
Ped-Bike Adj(A_pbT) 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Parking Bus, Adj 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Work Zone On Approach No No No No
Adj Sat Flow, veh/h/ln 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 Adj Flow Rate, veh/h 8 0 12 106 0 93 44 707 43 16 997 12 Peak Hour Factor 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88 Percent Heavy Veh, % 222222222222
Cap, veh/h 25 0 38 242 0 215 110 829 702 56 1484 18
Arrive On Green 0.04 0.00 0.04 0.14 0.00 0.14 0.06 0.44 0.44 0.03 0.41 0.41 Sat Flow, veh/h 663 0 995 1781 0 1585 1781 1870 1585 1781 3596 43 Grp Volume(v), veh/h 20 0 0 106 0 93 44 707 43 16 493 516 Grp Sat Flow(s),veh/h/ln 1658 0 0 1781 0 1585 1781 1870 1585 1781 1777 1863 Q Serve(g_s), s 0.7 0.0 0.0 3.1 0.0 3.0 1.3 19.1 0.9 0.5 12.7 12.7 Cycle Q Clear(g_c), s 0.7 0.0 0.0 3.1 0.0 3.0 1.3 19.1 0.9 0.5 12.7 12.7 Prop In Lane 0.40 0.60 1.00 1.00 1.00 1.00 1.00 0.02
Lane Grp Cap(c), veh/h 63 0 0 242 0 215 110 829 702 56 733 769 V/C Ratio(X) 0.32 0.00 0.00 0.44 0.00 0.43 0.40 0.85 0.06 0.29 0.67 0.67 Avail Cap(c_a), veh/h 854 0 0 253 0 225 263 1159 982 263 1101 1154 HCM Platoon Ratio 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Upstream Filter(I) 1.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Uniform Delay (d), s/veh 26.4 0.0 0.0 22.4 0.0 22.3 25.4 14.0 9.0 26.7 13.4 13.4 Incr Delay (d2), s/veh 2.8 0.0 0.0 1.2 0.0 1.4 2.3 4.6 0.0 2.8 1.1 1.0 Initial Q Delay(d3),s/veh 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 %ile BackOfQ(50%),veh/ln 0.3 0.0 0.0 1.3 0.0 1.1 0.6 6.9 0.2 0.2 4.0 4.2 Unsig. Movement Delay, s/veh
LnGrp Delay(d),s/veh 29.2 0.0 0.0 23.6 0.0 23.7 27.7 18.6 9.0 29.4 14.5 14.5 LnGrp LOS C A A C A C C B A C B B
Approach Vol, veh/h 20 199 794 1025
Approach Delay, s/veh 29.2 23.7 18.6 14.7
Approach LOS C C B B
Timer - Assigned Phs 1 2 4 5 6 8
Phs Duration (G+Y+Rc), s 6.0 30.3 7.6 7.7 28.6 12.3
Change Period (Y+Rc), s * 4.2 5.4 5.5 * 4.2 5.4 4.7
Max Green Setting (Gmax), s * 8.3 34.9 29.0 * 8.3 34.9 8.0 Max Q Clear Time (g_c+I1), s 2.5 21.1 2.7 3.3 14.7 5.1
Green Ext Time (p_c), s 0.0 3.9 0.1 0.0 5.9 0.2
Intersection Summary
HCM 6th Ctrl Delay 17.3
HCM 6th LOS B
Notes
* HCM 6th computational engine requires equal clearance times for the phases crossing the barrier. 1399
Existing PMHCM 6th TWSC
3: Community Dr & S. Santa Fe Ave 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing PM Synchro 10 Report 3-22-3523 Page 3
Intersection
Int Delay, s/veh 0.4
Movement EBT EBR WBL WBT NBL NBR
Lane Configurations
Traffic Vol, veh/h 1034 6 37 720 6 4
Future Vol, veh/h 1034 6 37 720 6 4
Conflicting Peds, #/hr 0 00000
Sign Control Free Free Free Free Stop Stop
RT Channelized - None - None - None
Storage Length - - 150 - 0 -
Veh in Median Storage, # 0 - - 0 0 -
Grade, % 0 - - 0 0 -
Peak Hour Factor 94 94 94 94 94 94
Heavy Vehicles, % 2 22222
Mvmt Flow 1100 6 39 766 6 4
Major/Minor Major1 Major2 Minor1
Conflicting Flow All 0 0 1106 0 1564 553
Stage 1 - - - - 1103 -
Stage 2 - - - - 461 -
Critical Hdwy - - 4.14 - 6.84 6.94
Critical Hdwy Stg 1 - - - - 5.84 -
Critical Hdwy Stg 2 - - - - 5.84 -
Follow-up Hdwy - - 2.22 - 3.52 3.32
Pot Cap-1 Maneuver - - 627 - 102 477
Stage 1 - - - - 279 -
Stage 2 - - - - 601 -
Platoon blocked, % - - -
Mov Cap-1 Maneuver - - 627 - 96 477
Mov Cap-2 Maneuver - - - - 96 -
Stage 1 - - - - 279 -
Stage 2 - - - - 564 -
Approach EB WB NB
HCM Control Delay, s 0 0.5 32.6

HCM LOS D
Minor Lane/Major Mvmt NBLn1 EBT EBR WBL WBT
Capacity (veh/h) 141 - - 627 -
HCM Lane V/C Ratio 0.075 - - 0.063 -
HCM Control Delay (s) 32.6 - - 11.1 -
HCM Lane LOS D - - B -
HCM 95th %tile Q(veh) 0.2 - - 0.2 -
1400
HCM 6th Signalized Intersection Summary Existing PM
4: Las Flores Dr & S. Santa Fe Ave 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing PM Synchro 10 Report 3-22-3523 Page 4
Movement EBL EBT EBR WBL WBT WBR NBL NBT NBR SBL SBT SBR Lane Configurations
Traffic Volume (veh/h) 54 878 71 35 591 79 40 1 20 53 2 34 Future Volume (veh/h) 54 878 71 35 591 79 40 1 20 53 2 34 Initial Q (Qb), veh 000000000000
Ped-Bike Adj(A_pbT) 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Parking Bus, Adj 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Work Zone On Approach No No No No
Adj Sat Flow, veh/h/ln 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 Adj Flow Rate, veh/h 60 976 79 39 657 88 44 1 22 59 2 38 Peak Hour Factor 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 Percent Heavy Veh, % 222222222222
Cap, veh/h 137 1191 96 88 1179 526 128 8 173 174 10 189 Arrive On Green 0.08 0.36 0.36 0.05 0.33 0.33 0.07 0.11 0.11 0.10 0.12 0.12 Sat Flow, veh/h 1781 3329 269 1781 3554 1585 1781 69 1526 1781 80 1517 Grp Volume(v), veh/h 60 521 534 39 657 88 44 0 23 59 0 40 Grp Sat Flow(s),veh/h/ln 1781 1777 1822 1781 1777 1585 1781 0 1596 1781 0 1597 Q Serve(g_s), s 1.7 14.4 14.4 1.1 8.2 2.1 1.3 0.0 0.7 1.7 0.0 1.2 Cycle Q Clear(g_c), s 1.7 14.4 14.4 1.1 8.2 2.1 1.3 0.0 0.7 1.7 0.0 1.2 Prop In Lane 1.00 0.15 1.00 1.00 1.00 0.96 1.00 0.95
Lane Grp Cap(c), veh/h 137 636 652 88 1179 526 128 0 180 174 0 199 V/C Ratio(X) 0.44 0.82 0.82 0.44 0.56 0.17 0.34 0.00 0.13 0.34 0.00 0.20 Avail Cap(c_a), veh/h 235 725 744 202 1391 620 264 0 1036 373 0 1111 HCM Platoon Ratio 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Upstream Filter(I) 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 1.00 0.00 1.00 Uniform Delay (d), s/veh 23.8 15.7 15.7 24.9 14.8 12.7 23.8 0.0 21.5 22.7 0.0 21.2 Incr Delay (d2), s/veh 2.2 6.6 6.5 3.5 0.4 0.1 1.6 0.0 0.3 1.1 0.0 0.5 Initial Q Delay(d3),s/veh 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 %ile BackOfQ(50%),veh/ln 0.7 5.6 5.7 0.5 2.7 0.7 0.6 0.0 0.3 0.7 0.0 0.5 Unsig. Movement Delay, s/veh
LnGrp Delay(d),s/veh 26.0 22.4 22.2 28.4 15.2 12.9 25.4 0.0 21.8 23.8 0.0 21.7 LnGrp LOS CCCCBBCACCAC
Approach Vol, veh/h 1115 784 67 99
Approach Delay, s/veh 22.5 15.6 24.2 23.0
Approach LOS C B C C
Timer - Assigned Phs 12345678
Phs Duration (G+Y+Rc), s 7.2 24.7 9.4 12.7 8.5 23.3 10.0 12.1 Change Period (Y+Rc), s 4.5 5.4 5.5 6.0 4.4 5.4 * 4.7 6.0 Max Green Setting (Gmax), s 6.1 22.0 8.0 37.5 7.1 21.1 * 11 35.0 Max Q Clear Time (g_c+I1), s 3.1 16.4 3.3 3.2 3.7 10.2 3.7 2.7 Green Ext Time (p_c), s 0.0 2.9 0.0 0.2 0.0 3.3 0.1 0.1 Intersection Summary
HCM 6th Ctrl Delay 19.9
HCM 6th LOS B
Notes
* HCM 6th computational engine requires equal clearance times for the phases crossing the barrier. 1401
HCM 6th TWSC Existing PM
5: Las Flores Dr & Hollencrest Rd 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing PM Synchro 10 Report 3-22-3523 Page 5
Intersection
Int Delay, s/veh 1.9
Movement WBL WBR NBT NBR SBL SBT
Lane Configurations
Traffic Vol, veh/h 3 11 54 5 31 77
Future Vol, veh/h 3 11 54 5 31 77
Conflicting Peds, #/hr 0 00000
Sign Control Stop Stop Free Free Free Free
RT Channelized - None - None - None
Storage Length 0 -----
Veh in Median Storage, # 0 - 0 - - 0
Grade, % 0 - 0 - - 0
Peak Hour Factor 85 85 85 85 85 85
Heavy Vehicles, % 2 22222
Mvmt Flow 4 13 64 6 36 91

Major/Minor Minor1 Major1 Major2
Conflicting Flow All 230 67 0 0 70 0
Stage 1 67 -----
Stage 2 163 -----
Critical Hdwy 6.42 6.22 - - 4.12 -
Critical Hdwy Stg 1 5.42 -----
Critical Hdwy Stg 2 5.42 -----
Follow-up Hdwy 3.518 3.318 - - 2.218 -
Pot Cap-1 Maneuver 758 997 - - 1531 -
Stage 1 956 -----
Stage 2 866 -----
Platoon blocked, % - - -
Mov Cap-1 Maneuver 739 997 - - 1531 -
Mov Cap-2 Maneuver 739 -----
Stage 1 956 -----
Stage 2 844 -----

Approach WB NB SB
HCM Control Delay, s 8.9 0 2.1

HCM LOS A

Minor Lane/Major Mvmt NBT NBRWBLn1 SBL SBT
Capacity (veh/h) - - 928 1531 -
HCM Lane V/C Ratio - - 0.018 0.024 -
HCM Control Delay (s) - - 8.9 7.4 0
HCM Lane LOS - - A A A
HCM 95th %tile Q(veh) - - 0.1 0.1 -
1402
HCM 6th Signalized Intersection Summary Existing PM
6: W. Mission Rd/S. Santa Fe Ave & N. Rancho Santa Fe Rd 03/30/2022 Santa Fe Las Flores 03/17/2022 Existing PM Synchro 10 Report 3-22-3523 Page 6
Movement EBL EBR NBL NBT SBU SBT SBR
Lane Configurations
Traffic Volume (veh/h) 344 333 154 376 0 717 206
Future Volume (veh/h) 344 333 154 376 0 717 206
Initial Q (Qb), veh 0000 00
Ped-Bike Adj(A_pbT) 1.00 1.00 1.00 1.00
Parking Bus, Adj 1.00 1.00 1.00 1.00 1.00 1.00
Work Zone On Approach No No No
Adj Sat Flow, veh/h/ln 1870 1870 1870 1870 1870 1870
Adj Flow Rate, veh/h 370 358 166 404 771 222
Peak Hour Factor 0.93 0.93 0.93 0.93 0.93 0.93
Percent Heavy Veh, % 2222 22
Cap, veh/h 626 898 251 2040 1194 533
Arrive On Green 0.18 0.18 0.14 0.57 0.34 0.34
Sat Flow, veh/h 3456 2790 1781 3647 3647 1585
Grp Volume(v), veh/h 370 358 166 404 771 222
Grp Sat Flow(s),veh/h/ln 1728 1395 1781 1777 1777 1585
Q Serve(g_s), s 5.1 5.1 4.5 2.8 9.5 5.6
Cycle Q Clear(g_c), s 5.1 5.1 4.5 2.8 9.5 5.6
Prop In Lane 1.00 1.00 1.00 1.00
Lane Grp Cap(c), veh/h 626 898 251 2040 1194 533
V/C Ratio(X) 0.59 0.40 0.66 0.20 0.65 0.42
Avail Cap(c_a), veh/h 1209 1369 346 2720 2375 1059
HCM Platoon Ratio 1.00 1.00 1.00 1.00 1.00 1.00
Upstream Filter(I) 1.00 1.00 1.00 1.00 1.00 1.00
Uniform Delay (d), s/veh 19.3 13.6 20.9 5.3 14.5 13.2
Incr Delay (d2), s/veh 0.9 0.3 3.0 0.0 0.6 0.5
Initial Q Delay(d3),s/veh 0.0 0.0 0.0 0.0 0.0 0.0
%ile BackOfQ(50%),veh/ln 1.8 4.3 1.8 0.6 3.0 1.6
Unsig. Movement Delay, s/veh
LnGrp Delay(d),s/veh 20.2 13.9 23.9 5.3 15.1 13.7
LnGrp LOS C B C A B B
Approach Vol, veh/h 728 570 993
Approach Delay, s/veh 17.1 10.7 14.8
Approach LOS B B B
Timer - Assigned Phs 2 4 5 6
Phs Duration (G+Y+Rc), s 35.6 15.8 12.3 23.4
Change Period (Y+Rc), s * 6.1 6.5 5.0 * 6.1
Max Green Setting (Gmax), s * 39 18.0 10.0 * 34
Max Q Clear Time (g_c+I1), s 4.8 7.1 6.5 11.5
Green Ext Time (p_c), s 2.7 2.2 0.1 5.8
Intersection Summary
HCM 6th Ctrl Delay 14.5
HCM 6th LOS B
Notes
User approved ignoring U-Turning movement.
* HCM 6th computational engine requires equal clearance times for the phases crossing the barrier. 1403
HCM 6th TWSC Existing PM
7: Capalina Rd & Hollencrest Rd 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing PM Synchro 10 Report 3-22-3523 Page 7
Intersection
Int Delay, s/veh 1.1
Movement EBL EBT WBT WBR SBL SBR
Lane Configurations
Traffic Vol, veh/h 2 100 153 80 33 3
Future Vol, veh/h 2 100 153 80 33 3
Conflicting Peds, #/hr 0 00000
Sign Control Free Free Free Free Stop Stop
RT Channelized - None - None - None
Storage Length - - - - 0 -
Veh in Median Storage, # - 0 0 - 0 -
Grade, % - 0 0 - 0 -
Peak Hour Factor 83 83 83 83 83 83
Heavy Vehicles, % 2 22222
Mvmt Flow 2 120 184 96 40 4

Major/Minor Major1 Major2 Minor2
Conflicting Flow All 280 0 - 0 356 232
Stage 1 - - - - 232 -
Stage 2 - - - - 124 -
Critical Hdwy 4.12 - - - 6.42 6.22
Critical Hdwy Stg 1 - - - - 5.42 -
Critical Hdwy Stg 2 - - - - 5.42 -
Follow-up Hdwy 2.218 - - - 3.518 3.318
Pot Cap-1 Maneuver 1283 - - - 642 807
Stage 1 - - - - 807 -
Stage 2 - - - - 902 -
Platoon blocked, % - - -
Mov Cap-1 Maneuver 1283 - - - 641 807
Mov Cap-2 Maneuver - - - - 641 -
Stage 1 - - - - 805 -
Stage 2 - - - - 902 -

Approach EB WB SB
HCM Control Delay, s 0.2 0 10.9

HCM LOS B

Minor Lane/Major Mvmt EBL EBT WBT WBR SBLn1
Capacity (veh/h) 1283 - - - 652
HCM Lane V/C Ratio 0.002 - - - 0.067
HCM Control Delay (s) 7.8 0 - - 10.9
HCM Lane LOS A A - - B
HCM 95th %tile Q(veh) 0 - - - 0.2
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HCM 6th Signalized Intersection Summary Existing PM
8: N. Rancho Santa Fe Rd & Capalina Rd 03/30/2022
Santa Fe Las Flores 03/17/2022 Existing PM Synchro 10 Report 3-22-3523 Page 8
Movement EBL EBT EBR WBL WBT WBR NBL NBT NBR SBL SBT SBR Lane Configurations
Traffic Volume (veh/h) 7 22 109 84 33 21 195 624 101 13 344 21 Future Volume (veh/h) 7 22 109 84 33 21 195 624 101 13 344 21 Initial Q (Qb), veh 000000000000
Ped-Bike Adj(A_pbT) 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Parking Bus, Adj 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Work Zone On Approach No No No No
Adj Sat Flow, veh/h/ln 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 Adj Flow Rate, veh/h 8 24 121 93 37 23 217 693 112 14 382 23 Peak Hour Factor 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 0.90 Percent Heavy Veh, % 222222222222
Cap, veh/h 56 209 177 353 521 441 240 898 145 22 582 35 Arrive On Green 0.03 0.11 0.11 0.20 0.28 0.28 0.13 0.29 0.29 0.01 0.17 0.17 Sat Flow, veh/h 1781 1870 1585 1781 1870 1585 1781 3063 495 1781 3406 204 Grp Volume(v), veh/h 8 24 121 93 37 23 217 402 403 14 199 206 Grp Sat Flow(s),veh/h/ln 1781 1870 1585 1781 1870 1585 1781 1777 1781 1781 1777 1834 Q Serve(g_s), s 0.3 0.7 4.4 2.6 0.9 0.6 7.1 12.3 12.3 0.5 6.2 6.3 Cycle Q Clear(g_c), s 0.3 0.7 4.4 2.6 0.9 0.6 7.1 12.3 12.3 0.5 6.2 6.3 Prop In Lane 1.00 1.00 1.00 1.00 1.00 0.28 1.00 0.11
Lane Grp Cap(c), veh/h 56 209 177 353 521 441 240 521 522 22 304 313 V/C Ratio(X) 0.14 0.11 0.68 0.26 0.07 0.05 0.91 0.77 0.77 0.65 0.65 0.66 Avail Cap(c_a), veh/h 464 943 799 464 943 799 240 690 692 105 556 573 HCM Platoon Ratio 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Upstream Filter(I) 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Uniform Delay (d), s/veh 28.0 23.8 25.4 20.2 15.8 15.7 25.4 19.2 19.2 29.3 23.0 23.0 Incr Delay (d2), s/veh 1.2 0.2 4.6 0.4 0.1 0.0 34.1 3.9 3.9 28.0 2.4 2.4 Initial Q Delay(d3),s/veh 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 %ile BackOfQ(50%),veh/ln 0.1 0.3 1.8 1.1 0.4 0.2 5.0 4.9 4.9 0.4 2.5 2.6 Unsig. Movement Delay, s/veh
LnGrp Delay(d),s/veh 29.2 24.0 30.0 20.6 15.9 15.8 59.5 23.1 23.1 57.2 25.4 25.4 LnGrp LOS CCCCBBECCECC
Approach Vol, veh/h 153 153 1022 419
Approach Delay, s/veh 29.0 18.7 30.8 26.5
Approach LOS C B C C
Timer - Assigned Phs 12345678
Phs Duration (G+Y+Rc), s 6.7 23.8 15.8 13.1 14.0 16.6 5.9 23.1 Change Period (Y+Rc), s 6.0 6.4 4.0 6.5 6.0 6.4 4.0 6.5 Max Green Setting (Gmax), s 3.5 23.1 15.5 30.0 8.0 18.6 15.5 30.0 Max Q Clear Time (g_c+I1), s 2.5 14.3 4.6 6.4 9.1 8.3 2.3 2.9 Green Ext Time (p_c), s 0.0 3.1 0.1 0.5 0.0 1.6 0.0 0.2 Intersection Summary
HCM 6th Ctrl Delay 28.6
HCM 6th LOS C
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LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Project
N:\3940 - Santa Fe Flores\Report\Appendices\Appendix Cover Pages.docx

APPENDIX D

K&D FACTORS DEFINITIONS

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PEAK HOUR VOLUME DATA
Peak hour volume data consists of hourly volume relationships and data location.

The hourly volumes are expressed as a percentage of the Annual Average Daily Traffic (AADT). The percentages are shown for both the AM and the PM peak periods.

The principle data described here are the K factor, the D factor and their product (KD). The K factor is the percentage of AADT during the peak hour for both directions of travel. The D factor is the percentage of the peak hour travel in the peak direction. KD multiplied with the AADT gives the one way peak period directional flow rate or the design hourly volume (DHV). The design hourly volume is used for either Operational Analysis or Design Analysis. Refer to the 2016 Highway Capacity Manual, 6th Edition A Guide for Multimodal Mobility Analysis for more details.

Following is a glossary of terms used in this listing of peak hour volume data:

Dir Indicates direction of travel for peak volume.

AADT Annual Average Daily Traffic in vehicles per day (vpd).

AM Peak Represents the morning peak period for traffic analysis.

CS Control Station Number, Caltrans identification number for monitoring site.

CO County abbreviation used by Caltrans.

D D factor. The percentage of traffic in the peak direction during the peak hour. Values in this book are derived by dividing the measured PHV by the sum of both directions of travel during the peak hour.

DAY Day of week for the peak volume.

DDHV
The directional design hour volume, in vehicles per hour (vph) DDHV=AADTxKxD. See Equation (3-1) on Page 3-13 of the 2016 Highway Capacity Manual.

DI Caltrans has twelve transportation districts statewide. This abbreviation identifies the district in which the count station is located.

HR The ending time for the peak hour volume listed. The volume observed from 1 to 2 would be recorded as 2.
1407
K The percentage of the AADT in both directions during the peak hour.

Values in this table are derived by dividing the measured 2-way PHV by the AADT.

KD The product of K and D. The percentage of AADT in the peak direction during the peak hour. Values in this table are derived by dividing the measured 1-way PHV by the AADT.

LEG For traffic counting purposes, a highway intersection or interchange is assigned two legs according to increasing postmiles (route direction) and with a postmile reference at the center of the intersection or interchange. The volume of traffic on each leg is denoted by an A, B or O. A = ahead leg, B = back leg, and O – traffic volume being same for both back and ahead legs.

MNTH The month that the peak volume occurred.

PHV Peak Hour Volume in the peak direction. A one way volume in vehicles per hour (vph) as used here. The PHV is analogous to the DDHV as used for design purposes.

PM The Post Mile is the mileage measured from the county line, or from the beginning of a route. Each postmile along a route in a county is a unique location on the state highway system.

PM Peak Represents the afternoon peak period for traffic analysis.

PRE The postmile may have a prefix like R, T, L, M, etc. When a length of highway is changed due to construction or realigment, new postmile values are assigned. To distinguish the new values from the old, an alpha code is prefixed to the new postmile.

RTE The state highway route number.

YR The year when the count was made. Traffic counting is on a 3-year cycle.
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LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Project
N:\3940 - Santa Fe Flores\Report\Appendices\Appendix Cover Pages.docx

APPENDIX E

TRAVEL ROUTE MAPS

1409
From Oceanside

To Oceanside

1410
From Escondido

To Escondido

1411
From Rancho Santa Fe

To Rancho Santa Fe

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LINSCOTT, LAW & GREENSPAN, engineers LLG Ref. 3-24-3940 Santa Fe Flores Project
N:\3940 - Santa Fe Flores\Report\Appendices\Appendix Cover Pages.docx

APPENDIX F
ANALYSIS WORKSHEETS – NEAR-TERM

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HCM 6th TWSC YEAR 2027 AM
1: S. Santa Fe Ave & Smilax Rd 10/21/2024
Santa Fe Las Flores Synchro 11 Report

Page 1 ends

San Marcos City CouncilMay 26, 2026

San Marcos City Council
May 26, 2026