ATT 2 - Spring 2022 NBS Monitoring Report — Mountain View City Council, June 28, 2022 (part 2 of 2)

CustomList-2172 Page 7
CustomList-7751 Page 1
Traffic Data Service -- San Jose, CA
Class Report
CustomList-7751 -- English (ENU)
Datasets:

Site: [7] STEVENS CREEK TRAIL BT MOFFETT BLVD AND LA AVENIDA Data type: Axle sensors - Paired (Class/Speed/Count)
Profile:

Included classes: 15
Speed range: 0 - 100 mph.

Direction: North (bound), P = North, Lane = 0-16
Name: TDS
Scheme: Vehicle classification (Bicycle_15_scheme)
Units: Non metric (ft, mi, ft/s, mph, lb, ton)
Column Legend:
0 [Time] 24-hour time (0000 - 2359)
1 [Total] Number in time step
2 [Cls] Class totals
* Sunday, February 6, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 2 2
0700 11 11
0800 14 14
0900 29 29
1000 29 29
1100 28 28
1200 26 26
1300 41 41
1400 56 56
1500 39 39
1600 35 35
1700 24 24
1800 2 2
1900 1 1
2000 0 0
2100 0 0
2200 1 1
2300 0 0
07-19 334 334
06-22 337 337
06-00 338 338
00-00 338 338
Peak step 14:00 (56) AM Peak step 9:00 (29) PM Peak step 14:00 (56) CustomList-7751 Page 1
CustomList-7751 Page 2
* Monday, February 7, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 6 6
0700 16 16
0800 35 35
0900 20 20
1000 14 14
1100 20 20
1200 21 21
1300 19 19
1400 20 20
1500 30 30
1600 30 30
1700 15 15
1800 4 4
1900 2 2
2000 1 1
2100 0 0
2200 0 0
2300 0 0
07-19 244 244
06-22 253 253
06-00 253 253
00-00 253 253
Peak step 8:00 (35) AM Peak step 8:00 (35) PM Peak step 15:00 (30) * Tuesday, February 8, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 1 1
0500 1 1
0600 5 5
0700 17 17
0800 40 40
0900 33 33
1000 22 22
1100 21 21
1200 24 24
1300 10 10
1400 19 19
1500 26 26
1600 32 32
1700 28 28
1800 6 6
1900 1 1
2000 1 1
2100 0 0
2200 0 0
2300 0 0
07-19 278 278
06-22 285 285
06-00 285 285
00-00 287 287
Peak step 8:00 (40) AM Peak step 8:00 (40) PM Peak step 16:00 (32) CustomList-7751 Page 2
CustomList-7751 Page 3
* Wednesday, February 9, 2022
Time Total Cls
<-- 15
0000 1 1
0100 1 1
0200 0 0
0300 0 0
0400 0 0
0500 1 1
0600 9 9
0700 20 20
0800 43 43
0900 42 42
1000 21 21
1100 26 26
1200 22 22
1300 19 19
1400 24 24
1500 24 24
1600 20 20
1700 23 23
1800 4 4
1900 2 2
2000 0 0
2100 1 1
2200 0 0
2300 0 0
07-19 288 288
06-22 300 300
06-00 300 300
00-00 303 303
Peak step 8:00 (43) AM Peak step 8:00 (43) PM Peak step 14:00 (24) * Thursday, February 10, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 1 1
0600 8 8
0700 15 15
0800 49 49
0900 38 38
1000 22 22
1100 27 27
1200 30 30
1300 19 19
1400 24 24
1500 28 28
1600 42 42
1700 28 28
1800 6 6
1900 3 3
2000 0 0
2100 4 4
2200 0 0
2300 0 0
07-19 328 328
06-22 343 343
06-00 343 343
00-00 344 344
Peak step 8:00 (49) AM Peak step 8:00 (49) PM Peak step 16:00 (42) CustomList-7751 Page 3
CustomList-7751 Page 4
* Friday, February 11, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 5 5
0700 15 15
0800 36 36
0900 35 35
1000 25 25
1100 25 25
1200 23 23
1300 18 18
1400 21 21
1500 27 27
1600 42 42
1700 14 14
1800 2 2
1900 4 4
2000 0 0
2100 0 0
2200 0 0
2300 0 0
07-19 283 283
06-22 292 292
06-00 292 292
00-00 292 292
Peak step 16:00 (42) AM Peak step 8:00 (36) PM Peak step 16:00 (42) * Saturday, February 12, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 1 1
0600 2 2
0700 14 14
0800 19 19
0900 29 29
1000 34 34
1100 38 38
1200 35 35
1300 31 31
1400 33 33
1500 44 44
1600 38 38
1700 26 26
1800 6 6
1900 3 3
2000 0 0
2100 0 0
2200 0 0
2300 0 0
07-19 347 347
06-22 352 352
06-00 352 352
00-00 353 353
Peak step 15:00 (44) AM Peak step 11:00 (38) PM Peak step 15:00 (44) CustomList-7751 Page 4
CustomList-7751 Page 5
* Sunday, February 13, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 4 4
0700 9 9
0800 18 18
0900 35 35
1000 42 42
1100 39 39
1200 28 28
1300 28 28
1400 41 41
1500 29 29
1600 31 31
1700 18 18
1800 3 3
1900 1 1
2000 0 0
2100 1 1
2200 2 2
2300 0 0
07-19 321 321
06-22 327 327
06-00 329 329
00-00 329 329
Peak step 10:00 (42) AM Peak step 10:00 (42) PM Peak step 14:00 (41) * Monday, February 14, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 2 2
0600 5 5
0700 18 18
0800 29 29
0900 26 26
1000 20 20
1100 7 7
1200 20 20
1300 9 9
1400 14 14
1500 20 20
1600 17 17
1700 13 13
1800 3 3
1900 3 3
2000 1 1
2100 0 0
2200 0 0
2300 0 0
07-19 196 196
06-22 205 205
06-00 205 205
00-00 207 207
Peak step 8:00 (29) AM Peak step 8:00 (29) PM Peak step 12:00 (20) CustomList-7751 Page 5
CustomList-7751 Page 6
* Tuesday, February 15, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 3 3
0600 5 5
0700 18 18
0800 41 41
0900 33 33
1000 16 16
1100 31 31
1200 20 20
1300 10 10
1400 15 15
1500 15 15
1600 20 20
1700 20 20
1800 1 1
1900 0 0
2000 1 1
2100 2 2
2200 1 1
2300 0 0
07-19 240 240
06-22 248 248
06-00 249 249
00-00 252 252
Peak step 8:00 (41) AM Peak step 8:00 (41) PM Peak step 12:00 (20) * Wednesday, February 16, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 1 1
0600 10 10
0700 24 24
0800 48 48
0900 34 34
1000 19 19
1100 21 21
1200 14 14
1300 15 15
1400 18 18
1500 17 17
1600 28 28
1700 23 23
1800 3 3
1900 0 0
2000 1 1
2100 0 0
2200 1 1
2300 0 0
07-19 264 264
06-22 275 275
06-00 276 276
00-00 277 277
Peak step 8:00 (48) AM Peak step 8:00 (48) PM Peak step 16:00 (28) CustomList-7751 Page 6
CustomList-7751 Page 7
* Thursday, February 17, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 1 1
0600 8 8
0700 13 13
0800 37 37
0900 31 31
1000 23 23
1100 26 26
1200 25 25
1300 18 18
1400 12 12
1500 21 21
1600 32 32
1700 33 33
1800 3 3
1900 2 2
2000 2 2
2100 0 0
2200 2 2
2300 0 0
07-19 274 274
06-22 286 286
06-00 288 288
00-00 289 289
Peak step 8:00 (37) AM Peak step 8:00 (37) PM Peak step 17:00 (33) * Friday, February 18, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 2 2
0600 4 4
0700 14 14
0800 31 31
0900 33 33
1000 24 24
1100 30 30
1200 32 32
1300 24 24
1400 14 14
1500 22 22
1600 27 27
1700 27 27
1800 6 6
1900 2 2
2000 0 0
2100 0 0
2200 0 0
2300 0 0
07-19 284 284
06-22 290 290
06-00 290 290
00-00 292 292
Peak step 9:00 (33) AM Peak step 9:00 (33) PM Peak step 12:00 (32) CustomList-7751 Page 7
CustomList-7751 Page 8
* Saturday, February 19, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 6 6
0700 11 11
0800 15 15
0900 24 24
1000 43 43
1100 35 35
1200 29 29
1300 19 19
1400 30 30
1500 33 33
1600 47 47
1700 19 19
1800 3 3
1900 1 1
2000 1 1
2100 0 0
2200 1 1
2300 0 0
07-19 308 308
06-22 316 316
06-00 317 317
00-00 317 317
Peak step 16:00 (47) AM Peak step 10:00 (43) PM Peak step 16:00 (47) CustomList-7751 Page 8
CustomList-7752 Page 1
Traffic Data Service -- San Jose, CA
Class Report
CustomList-7752 -- English (ENU)
Datasets:

Site: [7] STEVENS CREEK TRAIL BT MOFFETT BLVD AND LA AVENIDA Data type: Axle sensors - Paired (Class/Speed/Count)
Profile:

Included classes: 15
Speed range: 0 - 100 mph.

Direction: South (bound), P = North, Lane = 0-16
Name: TDS
Scheme: Vehicle classification (Bicycle_15_scheme)
Units: Non metric (ft, mi, ft/s, mph, lb, ton)
Column Legend:
0 [Time] 24-hour time (0000 - 2359)
1 [Total] Number in time step
2 [Cls] Class totals
* Sunday, February 6, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 0 0
0700 1 1
0800 2 2
0900 21 21
1000 26 26
1100 25 25
1200 33 33
1300 29 29
1400 34 34
1500 43 43
1600 45 45
1700 52 52
1800 12 12
1900 0 0
2000 1 1
2100 0 0
2200 0 0
2300 1 1
07-19 323 323
06-22 324 324
06-00 325 325
00-00 325 325
Peak step 17:00 (52) AM Peak step 10:00 (26) PM Peak step 17:00 (52) CustomList-7752 Page 1
CustomList-7752 Page 2
* Monday, February 7, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 1 1
0600 3 3
0700 5 5
0800 7 7
0900 8 8
1000 5 5
1100 9 9
1200 20 20
1300 22 22
1400 21 21
1500 29 29
1600 30 30
1700 54 54
1800 23 23
1900 12 12
2000 7 7
2100 0 0
2200 1 1
2300 0 0
07-19 233 233
06-22 255 255
06-00 256 256
00-00 257 257
Peak step 17:00 (54) AM Peak step 11:00 (9) PM Peak step 17:00 (54) * Tuesday, February 8, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 3 3
0600 3 3
0700 3 3
0800 11 11
0900 12 12
1000 12 12
1100 12 12
1200 18 18
1300 19 19
1400 25 25
1500 30 30
1600 41 41
1700 58 58
1800 21 21
1900 8 8
2000 4 4
2100 0 0
2200 1 1
2300 1 1
07-19 262 262
06-22 277 277
06-00 279 279
00-00 282 282
Peak step 17:00 (58) AM Peak step 9:00 (12) PM Peak step 17:00 (58) CustomList-7752 Page 2
CustomList-7752 Page 3
* Wednesday, February 9, 2022
Time Total Cls
<-- 15
0000 1 1
0100 1 1
0200 0 0
0300 1 1
0400 0 0
0500 0 0
0600 4 4
0700 3 3
0800 14 14
0900 14 14
1000 10 10
1100 20 20
1200 17 17
1300 21 21
1400 17 17
1500 46 46
1600 38 38
1700 55 55
1800 17 17
1900 12 12
2000 5 5
2100 2 2
2200 1 1
2300 0 0
07-19 272 272
06-22 295 295
06-00 296 296
00-00 299 299
Peak step 17:00 (55) AM Peak step 11:00 (20) PM Peak step 17:00 (55) * Thursday, February 10, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 2 2
0600 5 5
0700 3 3
0800 13 13
0900 11 11
1000 17 17
1100 17 17
1200 19 19
1300 25 25
1400 17 17
1500 32 32
1600 45 45
1700 65 65
1800 27 27
1900 11 11
2000 2 2
2100 3 3
2200 2 2
2300 1 1
07-19 291 291
06-22 312 312
06-00 315 315
00-00 317 317
Peak step 17:00 (65) AM Peak step 10:00 (17) PM Peak step 17:00 (65) CustomList-7752 Page 3
CustomList-7752 Page 4
* Friday, February 11, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 4 4
0700 3 3
0800 9 9
0900 9 9
1000 13 13
1100 13 13
1200 23 23
1300 22 22
1400 19 19
1500 35 35
1600 44 44
1700 44 44
1800 18 18
1900 10 10
2000 2 2
2100 0 0
2200 1 1
2300 1 1
07-19 252 252
06-22 268 268
06-00 270 270
00-00 270 270
Peak step 16:00 (44) AM Peak step 10:00 (13) PM Peak step 16:00 (44) * Saturday, February 12, 2022
Time Total Cls
<-- 15
0000 0 0
0100 1 1
0200 0 0
0300 0 0
0400 0 0
0500 2 2
0600 0 0
0700 3 3
0800 11 11
0900 24 24
1000 20 20
1100 42 42
1200 44 44
1300 33 33
1400 25 25
1500 33 33
1600 33 33
1700 26 26
1800 11 11
1900 0 0
2000 3 3
2100 0 0
2200 1 1
2300 1 1
07-19 305 305
06-22 308 308
06-00 310 310
00-00 313 313
Peak step 12:00 (44) AM Peak step 11:00 (42) PM Peak step 12:00 (44) CustomList-7752 Page 4
CustomList-7752 Page 5
* Sunday, February 13, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 1 1
0700 5 5
0800 12 12
0900 16 16
1000 21 21
1100 45 45
1200 32 32
1300 28 28
1400 42 42
1500 30 30
1600 35 35
1700 30 30
1800 5 5
1900 1 1
2000 0 0
2100 1 1
2200 2 2
2300 2 2
07-19 301 301
06-22 304 304
06-00 308 308
00-00 308 308
Peak step 11:00 (45) AM Peak step 11:00 (45) PM Peak step 14:00 (42) * Monday, February 14, 2022
Time Total Cls
<-- 15
0000 1 1
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 3 3
0700 6 6
0800 5 5
0900 10 10
1000 10 10
1100 8 8
1200 11 11
1300 17 17
1400 12 12
1500 18 18
1600 22 22
1700 44 44
1800 15 15
1900 8 8
2000 3 3
2100 1 1
2200 0 0
2300 1 1
07-19 178 178
06-22 193 193
06-00 194 194
00-00 195 195
Peak step 17:00 (44) AM Peak step 9:00 (10) PM Peak step 17:00 (44) CustomList-7752 Page 5
CustomList-7752 Page 6
* Tuesday, February 15, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 6 6
0700 0 0
0800 18 18
0900 8 8
1000 12 12
1100 13 13
1200 23 23
1300 9 9
1400 16 16
1500 21 21
1600 24 24
1700 60 60
1800 25 25
1900 6 6
2000 5 5
2100 3 3
2200 1 1
2300 0 0
07-19 229 229
06-22 249 249
06-00 250 250
00-00 250 250
Peak step 17:00 (60) AM Peak step 8:00 (18) PM Peak step 17:00 (60) * Wednesday, February 16, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 5 5
0700 3 3
0800 14 14
0900 12 12
1000 8 8
1100 15 15
1200 12 12
1300 19 19
1400 26 26
1500 18 18
1600 44 44
1700 48 48
1800 22 22
1900 10 10
2000 4 4
2100 3 3
2200 0 0
2300 0 0
07-19 241 241
06-22 263 263
06-00 263 263
00-00 263 263
Peak step 17:00 (48) AM Peak step 11:00 (15) PM Peak step 17:00 (48) CustomList-7752 Page 6
CustomList-7752 Page 7
* Thursday, February 17, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 5 5
0700 1 1
0800 14 14
0900 15 15
1000 11 11
1100 19 19
1200 14 14
1300 13 13
1400 20 20
1500 23 23
1600 46 46
1700 58 58
1800 23 23
1900 10 10
2000 6 6
2100 2 2
2200 1 1
2300 1 1
07-19 257 257
06-22 280 280
06-00 282 282
00-00 282 282
Peak step 17:00 (58) AM Peak step 11:00 (19) PM Peak step 17:00 (58) * Friday, February 18, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 1 1
0600 4 4
0700 2 2
0800 5 5
0900 16 16
1000 15 15
1100 23 23
1200 17 17
1300 21 21
1400 25 25
1500 27 27
1600 38 38
1700 52 52
1800 22 22
1900 6 6
2000 4 4
2100 2 2
2200 0 0
2300 1 1
07-19 263 263
06-22 279 279
06-00 280 280
00-00 281 281
Peak step 17:00 (52) AM Peak step 11:00 (23) PM Peak step 17:00 (52) CustomList-7752 Page 7
CustomList-7752 Page 8
* Saturday, February 19, 2022
Time Total Cls
<-- 15
0000 0 0
0100 0 0
0200 0 0
0300 0 0
0400 0 0
0500 0 0
0600 1 1
0700 2 2
0800 13 13
0900 19 19
1000 26 26
1100 45 45
1200 37 37
1300 25 25
1400 28 28
1500 40 40
1600 43 43
1700 36 36
1800 18 18
1900 3 3
2000 0 0
2100 0 0
2200 1 1
2300 1 1
07-19 332 332
06-22 336 336
06-00 338 338
00-00 338 338
Peak step 11:00 (45) AM Peak step 11:00 (45) PM Peak step 16:00 (43) CustomList-7752 Page 8
File Name : 1AAM FINAL
Site Code : 0000001A
Start Date : 2/17/2022
Page No : 1
Groups Printed- Lights - Buses - Trucks

SAN ANTONIO RD
Southbound

BAYSHORE PKWY
Westbound

SAN ANTONIO RD
Northbound

E BAYSHORE RD
Eastbound
Start Time Right Thru Left Peds App. Total Right Thru Left Peds App. Total Right Thru Left Peds App. Total Right Thru Left Peds App. Total Int. Total 07:00 AM 0 3 1 1 5 0 2 2 0 4 13 19 29 0 61 14 3 0 0 17 87 07:15 AM 2 12 3 0 17 1 5 2 0 8 16 13 27 0 56 14 3 2 0 19 100 07:30 AM 0 7 1 2 10 1 3 2 0 6 9 13 28 0 50 8 1 2 2 13 79 07:45 AM 2 8 5 1 16 2 2 2 0 6 14 17 38 0 69 8 4 3 0 15 106 Total 4 30 10 4 48 4 12 8 0 24 52 62 122 0 236 44 11 7 2 64 372 08:00 AM 2 12 7 0 21 7 9 3 0 19 13 20 29 0 62 14 0 1 0 15 117 08:15 AM 2 6 1 0 9 9 4 4 0 17 14 25 37 0 76 14 5 1 0 20 122 08:30 AM 1 11 4 2 18 1 1 3 0 5 25 27 35 0 87 14 3 4 0 21 131 08:45 AM 2 12 2 2 18 0 2 9 0 11 25 32 51 0 108 22 4 2 0 28 165 Total 7 41 14 4 66 17 16 19 0 52 77 104 152 0 333 64 12 8 0 84 535 09:00 AM 0 12 2 2 16 0 1 8 0 9 22 22 49 0 93 20 3 0 0 23 141 09:15 AM 4 8 3 1 16 1 2 5 0 8 19 32 24 0 75 18 8 2 0 28 127 09:30 AM 4 13 6 1 24 0 2 8 0 10 18 18 29 0 65 22 2 0 0 24 123 09:45 AM 2 16 5 0 23 4 2 7 0 13 7 20 26 0 53 17 3 2 0 22 111 Total 10 49 16 4 79 5 7 28 0 40 66 92 128 0 286 77 16 4 0 97 502 10:00 AM 0 20 3 2 25 1 1 8 0 10 13 19 26 0 58 16 0 3 1 20 113 10:15 AM 4 12 2 0 18 2 3 8 0 13 8 18 18 0 44 11 4 3 1 19 94 10:30 AM 3 13 3 0 19 1 3 6 0 10 11 18 25 0 54 13 1 3 1 18 101 10:45 AM 3 13 2 1 19 0 3 10 0 13 12 17 20 0 49 11 2 0 2 15 96 Total 10 58 10 3 81 4 10 32 0 46 44 72 89 0 205 51 7 9 5 72 404 Grand Total 31 178 50 15 274 30 45 87 0 162 239 330 491 0 1060 236 46 28 7 317 1813 Apprch % 11.3 65 18.2 5.5 18.5 27.8 53.7 0 22.5 31.1 46.3 0 74.4 14.5 8.8 2.2 Total % 1.7 9.8 2.8 0.8 15.1 1.7 2.5 4.8 0 8.9 13.2 18.2 27.1 0 58.5 13 2.5 1.5 0.4 17.5 Lights 29 150 37 15 231 28 45 77 0 150 197 315 464 0 976 213 45 28 7 293 1650 % Lights 93.5 84.3 74 100 84.3 93.3 100 88.5 0 92.6 82.4 95.5 94.5 0 92.1 90.3 97.8 100 100 92.4 91 Buses 1 8 10 0 19 0 0 3 0 3 25 1 8 0 34 6 1 0 0 7 63
% Buses 3.2 4.5 20 0 6.9 0 0 3.4 0 1.9 10.5 0.3 1.6 0 3.2 2.5 2.2 0 0 2.2 3.5 Trucks 1 20 3 0 24 2 0 7 0 9 17 14 19 0 50 17 0 0 0 17 100 % Trucks 3.2 11.2 6 0 8.8 6.7 0 8 0 5.6 7.1 4.2 3.9 0 4.7 7.2 0 0 0 5.4 5.5

SAN ANTONIO RD
Southbound

BAYSHORE PKWY
Westbound

SAN ANTONIO RD
Northbound

E BAYSHORE RD
Eastbound
Start Time Right Thru Left App. Total Right Thru Left App. Total Right Thru Left App. Total Right Thru Left App. Total Int. Total Peak Hour Analysis From 07:00 AM to 10:45 AM - Peak 1 of 1 Peak Hour for Entire Intersection Begins at 08:30 AM
08:30 AM 1 11 4 16 1 1 3 5 25 27 35 87 14 3 4 21 129
08:45 AM 2 12 2 16 0 2 9 11 25 32 51 108 22 4 2 28 163
09:00 AM 0 12 2 14 0 1 8 9 22 22 49 93 20 3 0 23 139
09:15 AM 4 8 3 15 1 2 5 8 19 32 24 75 18 8 2 28 126
Total Volume 7 43 11 61 2 6 25 33 91 113 159 363 74 18 8 100 557 % App. Total 11.5 70.5 18 6.1 18.2 75.8 25.1 31.1 43.8 74 18 8 PHF .438 .896 .688 .953 .500 .750 .694 .750 .910 .883 .779 .840 .841 .563 .500 .893 .854 Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 1AAM FINAL
Site Code : 0000001A
Start Date : 2/17/2022
Page No : 2

SAN ANTONIO RD

E BAYSHORE RD

BAYSHORE PKWY

SAN ANTONIO RD
Right
7 Thru
43 Left
11 InOut Total
123 61 184
Right
2 Thru
6 Left
25 OutTotal In
120 33 153
Left
159
Thru
113
Right
91 Out TotalIn
142 363 505
Left
8 Thru
18 Right
74 TotalOut In
172 100 272
Peak Hour Begins at 08:30 AM

Lights
Buses
Trucks
Peak Hour Data
North
Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 1AAM FINAL
Site Code : 0000001A
Start Date : 2/17/2022
Page No : 1
Groups Printed- Bikes

SAN ANTONIO RD
Southbound

BAYSHORE PKWY
Westbound

SAN ANTONIO RD
Northbound

E BAYSHORE RD
Eastbound
Start Time Right Thru Left Peds App. Total Right Thru Left Peds App. Total Right Thru Left Peds App. Total Right Thru Left Peds App. Total Int. Total 07:00 AM 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
07:15 AM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
07:30 AM 1 0 0 0 1 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 3
07:45 AM 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
Total 3 0 0 0 3 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 5
08:00 AM 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
08:15 AM 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
08:30 AM 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
08:45 AM 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
Total 1 1 2 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4
09:00 AM 3 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 1 0 2 5
09:15 AM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 2 2
09:30 AM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1
09:45 AM 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1
Total 3 0 0 0 3 1 0 0 0 1 0 0 0 0 0 0 2 3 0 5 9
10:00 AM 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 1 2
10:15 AM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1
10:30 AM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
10:45 AM 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
Total 2 0 0 0 2 0 0 0 0 0 0 1 0 0 1 0 1 1 0 2 5
Grand Total 9 1 2 0 12 1 1 0 0 2 0 1 1 0 2 0 3 4 0 7 23 Apprch % 75 8.3 16.7 0 50 50 0 0 0 50 50 0 0 42.9 57.1 0 Total % 39.1 4.3 8.7 0 52.2 4.3 4.3 0 0 8.7 0 4.3 4.3 0 8.7 0 13 17.4 0 30.4

SAN ANTONIO RD
Southbound

BAYSHORE PKWY
Westbound

SAN ANTONIO RD
Northbound

E BAYSHORE RD
Eastbound
Start Time Right Thru Left App. Total Right Thru Left App. Total Right Thru Left App. Total Right Thru Left App. Total Int. Total Peak Hour Analysis From 07:00 AM to 10:45 AM - Peak 1 of 1 Peak Hour for Entire Intersection Begins at 08:30 AM
08:30 AM 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1
08:45 AM 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1
09:00 AM 3 0 0 3 0 0 0 0 0 0 0 0 0 1 1 2 5
09:15 AM 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 2
Total Volume 4 1 0 5 0 0 0 0 0 0 0 0 0 2 2 4 9
% App. Total 80 20 0 0 0 0 0 0 0 0 50 50
PHF .333 .250 .000 .417 .000 .000 .000 .000 .000 .000 .000 .000 .000 .500 .500 .500 .450 Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 1AAM FINAL
Site Code : 0000001A
Start Date : 2/17/2022
Page No : 2

SAN ANTONIO RD

E BAYSHORE RD

BAYSHORE PKWY

SAN ANTONIO RD
Right
4 Thru
1 Left
0 InOut Total
2 5 7
Right
0 Thru
0 Left
0 OutTotal In
2 0 2
Left
0 Thru
0 Right
0 Out TotalIn
1 0 1
Left
2 Thru
2 Right
0 TotalOut In
4 4 8
Peak Hour Begins at 08:30 AM

Bikes
Peak Hour Data
North
Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 1APM FINAL
Site Code : 0000001A
Start Date : 2/17/2022
Page No : 1
Groups Printed- Lights - Buses - Trucks

SAN ANTONIO RD
Southbound

BAYSHORE PKWY
Westbound

SAN ANTONIO RD
Northbound

E BAYSHORE RD
Eastbound
Start Time Right Thru Left Peds App. Total Right Thru Left Peds App. Total Right Thru Left Peds App. Total Right Thru Left Peds App. Total Int. Total 03:00 PM 0 20 1 0 21 0 8 17 0 25 9 15 28 0 52 33 11 1 0 45 143 03:15 PM 1 21 1 1 24 2 3 8 0 13 10 16 24 0 50 35 11 2 0 48 135 03:30 PM 2 20 1 0 23 1 9 8 0 18 7 11 29 0 47 29 8 1 0 38 126 03:45 PM 4 16 1 2 23 0 1 8 1 10 8 18 46 0 72 35 11 0 1 47 152 Total 7 77 4 3 91 3 21 41 1 66 34 60 127 0 221 132 41 4 1 178 556 04:00 PM 2 14 4 1 21 1 4 15 0 20 10 10 33 0 53 73 19 2 1 95 189 04:15 PM 2 18 2 0 22 2 9 17 0 28 12 15 26 0 53 100 13 3 0 116 219 04:30 PM 0 16 0 0 16 0 2 13 0 15 7 13 28 0 48 126 18 4 0 148 227 04:45 PM 3 26 4 0 33 3 5 17 0 25 10 17 39 0 66 74 35 0 0 109 233 Total 7 74 10 1 92 6 20 62 0 88 39 55 126 0 220 373 85 9 1 468 868 05:00 PM 2 38 2 2 44 1 6 25 0 32 11 18 38 0 67 114 55 4 0 173 316 05:15 PM 2 17 6 0 25 2 2 21 0 25 14 11 32 0 57 110 93 3 0 206 313 05:30 PM 2 15 1 0 18 0 7 20 0 27 20 12 19 0 51 93 77 2 1 173 269 05:45 PM 1 22 1 2 26 1 3 13 0 17 11 15 22 0 48 84 51 1 0 136 227 Total 7 92 10 4 113 4 18 79 0 101 56 56 111 0 223 401 276 10 1 688 1125 06:00 PM 3 37 2 1 43 0 3 24 0 27 10 8 18 0 36 89 18 2 0 109 215 06:15 PM 1 30 1 3 35 1 3 14 1 19 6 3 18 0 27 75 14 0 2 91 172 06:30 PM 0 14 2 0 16 0 1 4 0 5 10 3 19 0 32 45 14 0 0 59 112 06:45 PM 0 11 2 0 13 0 2 10 0 12 12 5 14 0 31 27 5 2 0 34 90 Total 4 92 7 4 107 1 9 52 1 63 38 19 69 0 126 236 51 4 2 293 589 07:00 PM 0 8 1 0 9 0 0 13 0 13 8 3 10 0 21 19 3 0 0 22 65 07:15 PM 0 5 1 0 6 0 0 5 0 5 4 1 13 0 18 7 2 0 0 9 38
Grand Total 25 348 33 12 418 14 68 252 2 336 179 194 456 0 829 1168 458 27 5 1658 3241 Apprch % 6 83.3 7.9 2.9 4.2 20.2 75 0.6 21.6 23.4 55 0 70.4 27.6 1.6 0.3 Total % 0.8 10.7 1 0.4 12.9 0.4 2.1 7.8 0.1 10.4 5.5 6 14.1 0 25.6 36 14.1 0.8 0.2 51.2 Lights 25 330 24 12 391 14 68 229 2 313 164 182 447 0 793 1160 454 27 5 1646 3143 % Lights 100 94.8 72.7 100 93.5 100 100 90.9 100 93.2 91.6 93.8 98 0 95.7 99.3 99.1 100 100 99.3 97 Buses 0 12 9 0 21 0 0 22 0 22 13 9 0 0 22 0 2 0 0 2 67
% Buses 0 3.4 27.3 0 5 0 0 8.7 0 6.5 7.3 4.6 0 0 2.7 0 0.4 0 0 0.1 2.1 Trucks 0 6 0 0 6 0 0 1 0 1 2 3 9 0 14 8 2 0 0 10 31
% Trucks 0 1.7 0 0 1.4 0 0 0.4 0 0.3 1.1 1.5 2 0 1.7 0.7 0.4 0 0 0.6 1

SAN ANTONIO RD
Southbound

BAYSHORE PKWY
Westbound

SAN ANTONIO RD
Northbound

E BAYSHORE RD
Eastbound
Start Time Right Thru Left App. Total Right Thru Left App. Total Right Thru Left App. Total Right Thru Left App. Total Int. Total Peak Hour Analysis From 03:00 PM to 07:15 PM - Peak 1 of 1 Peak Hour for Entire Intersection Begins at 04:45 PM
04:45 PM 3 26 4 33 3 5 17 25 10 17 39 66 74 35 0 109 233 05:00 PM 2 38 2 42 1 6 25 32 11 18 38 67 114 55 4 173 314 05:15 PM 2 17 6 25 2 2 21 25 14 11 32 57 110 93 3 206 313 05:30 PM 2 15 1 18 0 7 20 27 20 12 19 51 93 77 2 172 268 Total Volume 9 96 13 118 6 20 83 109 55 58 128 241 391 260 9 660 1128 % App. Total 7.6 81.4 11 5.5 18.3 76.1 22.8 24.1 53.1 59.2 39.4 1.4 PHF .750 .632 .542 .702 .500 .714 .830 .852 .688 .806 .821 .899 .857 .699 .563 .801 .898 Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 1APM FINAL
Site Code : 0000001A
Start Date : 2/17/2022
Page No : 2

SAN ANTONIO RD

E BAYSHORE RD

BAYSHORE PKWY

SAN ANTONIO RD
Right
9 Thru
96 Left
13 InOut Total
73 118 191
Right
6 Thru
20 Left
83 OutTotal In
328 109 437
Left
128
Thru
58 Right
55 Out TotalIn
570 241 811
Left
9 Thru
260
Right
391
TotalOut In
157 660 817
Peak Hour Begins at 04:45 PM

Lights
Buses
Trucks
Peak Hour Data
North
Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 1APM FINAL
Site Code : 0000001A
Start Date : 2/17/2022
Page No : 1
Groups Printed- Bikes

SAN ANTONIO RD
Southbound

BAYSHORE PKWY
Westbound

SAN ANTONIO RD
Northbound

E BAYSHORE RD
Eastbound
Start Time Right Thru Left Peds App. Total Right Thru Left Peds App. Total Right Thru Left Peds App. Total Right Thru Left Peds App. Total Int. Total 03:00 PM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
03:15 PM 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1
03:30 PM 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
03:45 PM 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 3
Total 0 1 1 0 2 1 0 0 0 1 0 0 0 0 0 0 0 2 0 2 5
04:00 PM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
04:15 PM 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1
04:30 PM 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1
04:45 PM 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 1 0 0 1 3
Total 0 0 0 0 0 0 3 0 0 3 0 1 0 0 1 0 1 0 0 1 5
05:00 PM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
05:15 PM 3 0 0 0 3 0 0 0 0 0 1 0 0 0 1 1 0 0 0 1 5
05:30 PM 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
05:45 PM 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
Total 5 1 0 0 6 0 0 0 0 0 1 0 0 0 1 1 0 0 0 1 8
06:00 PM 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 3
06:15 PM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
06:30 PM 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
06:45 PM 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
Total 2 1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 5
07:00 PM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1
07:15 PM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Grand Total 7 3 1 0 11 1 3 0 0 4 1 1 0 0 2 1 4 2 0 7 24 Apprch % 63.6 27.3 9.1 0 25 75 0 0 50 50 0 0 14.3 57.1 28.6 0 Total % 29.2 12.5 4.2 0 45.8 4.2 12.5 0 0 16.7 4.2 4.2 0 0 8.3 4.2 16.7 8.3 0 29.2

SAN ANTONIO RD
Southbound

BAYSHORE PKWY
Westbound

SAN ANTONIO RD
Northbound

E BAYSHORE RD
Eastbound
Start Time Right Thru Left App. Total Right Thru Left App. Total Right Thru Left App. Total Right Thru Left App. Total Int. Total Peak Hour Analysis From 03:00 PM to 07:15 PM - Peak 1 of 1 Peak Hour for Entire Intersection Begins at 05:15 PM
05:15 PM 3 0 0 3 0 0 0 0 1 0 0 1 1 0 0 1 5
05:30 PM 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1
05:45 PM 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2
06:00 PM 0 1 0 1 0 0 0 0 0 0 0 0 0 2 0 2 3
Total Volume 5 2 0 7 0 0 0 0 1 0 0 1 1 2 0 3 11
% App. Total 71.4 28.6 0 0 0 0 100 0 0 33.3 66.7 0
PHF .417 .500 .000 .583 .000 .000 .000 .000 .250 .000 .000 .250 .250 .250 .000 .375 .550 Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 1APM FINAL
Site Code : 0000001A
Start Date : 2/17/2022
Page No : 2

SAN ANTONIO RD

E BAYSHORE RD

BAYSHORE PKWY

SAN ANTONIO RD
Right
5 Thru
2 Left
0 InOut Total
0 7 7
Right
0 Thru
0 Left
0 OutTotal In
3 0 3
Left
0 Thru
0 Right
1 Out TotalIn
3 1 4
Left
0 Thru
2 Right
1 TotalOut In
5 3 8
Peak Hour Begins at 05:15 PM

Bikes
Peak Hour Data
North
Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 2AAM FINAL
Site Code : 0000002A
Start Date : 2/17/2022
Page No : 1
Groups Printed- Lights - Buses - Trucks

N SHORELINE BLVD
Southbound

LA AVENIDA ST
Westbound
US-101 NB RAMPS
Northwestbound

N SHORELINE BLVD
Northbound
US-101 NB ON-RAMP
Eastbound
Start Time Right Thru Bear
Left
Left Peds App. Total Right Thru Left Hard
Left
Peds App. Total
Hard
Right
Bear
Right
Bear
Left
Hard
Left
Peds App. Total
Hard
Right
Right Thru Left Peds App. Total Right Bear
Right
Thru Left Peds App. Total Int. Total
07:00 AM 8 28 0 0 0 36 0 5 13 0 2 20 0 143 2 55 2 202 42 0 31 0 0 73 0 0 0 0 0 0 331 07:15 AM 4 31 0 0 0 35 0 8 13 0 0 21 0 139 2 64 0 205 52 0 52 0 0 104 0 0 0 0 0 0 365 07:30 AM 9 30 0 0 1 40 0 14 18 0 0 32 0 159 3 68 1 231 76 0 45 0 0 121 0 0 0 0 0 0 424 07:45 AM 14 49 0 0 0 63 0 20 29 0 0 49 0 193 8 89 2 292 72 0 71 0 0 143 0 0 0 0 0 0 547 Total 35 138 0 0 1 174 0 47 73 0 2 122 0 634 15 276 5 930 242 0 199 0 0 441 0 0 0 0 0 0 1667 08:00 AM 18 39 0 0 0 57 0 18 25 0 0 43 0 163 10 110 0 283 73 0 54 0 0 127 0 0 0 0 0 0 510 08:15 AM 14 52 0 0 0 66 0 7 12 0 0 19 0 158 2 94 2 256 72 0 88 0 0 160 0 0 0 0 0 0 501 08:30 AM 9 51 0 0 0 60 0 8 22 0 0 30 0 171 3 48 1 223 56 0 52 0 0 108 0 0 0 0 1 1 422 08:45 AM 9 61 0 0 0 70 0 5 26 0 0 31 0 208 3 69 2 282 45 0 64 0 0 109 0 0 0 0 0 0 492 Total 50 203 0 0 0 253 0 38 85 0 0 123 0 700 18 321 5 1044 246 0 258 0 0 504 0 0 0 0 1 1 1925 09:00 AM 10 48 0 0 0 58 0 6 37 0 0 43 0 162 0 65 1 228 68 0 72 0 0 140 0 0 0 0 0 0 469 09:15 AM 13 67 0 0 0 80 0 9 28 0 0 37 0 175 1 51 1 228 53 0 74 0 0 127 0 0 0 0 0 0 472 09:30 AM 13 59 0 0 0 72 0 10 32 0 0 42 0 119 0 43 1 163 48 0 89 0 0 137 0 0 0 0 0 0 414 09:45 AM 13 54 0 0 1 68 1 6 17 0 1 25 0 140 0 44 1 185 60 0 53 0 0 113 0 0 0 0 0 0 391 Total 49 228 0 0 1 278 1 31 114 0 1 147 0 596 1 203 4 804 229 0 288 0 0 517 0 0 0 0 0 0 1746 10:00 AM 15 80 0 0 0 95 1 8 23 0 0 32 0 107 0 52 0 159 58 0 66 0 0 124 0 0 0 0 0 0 410 10:15 AM 11 57 0 0 0 68 0 6 19 0 2 27 0 127 0 45 1 173 52 0 53 0 0 105 0 0 0 0 2 2 375 10:30 AM 16 65 0 0 2 83 0 1 12 0 0 13 0 94 0 43 1 138 55 0 66 0 0 121 0 0 0 0 0 0 355 10:45 AM 13 47 0 0 0 60 1 8 24 0 0 33 0 110 0 41 2 153 54 0 56 0 0 110 0 0 0 0 1 1 357 Total 55 249 0 0 2 306 2 23 78 0 2 105 0 438 0 181 4 623 219 0 241 0 0 460 0 0 0 0 3 3 1497 Grand Total 189 818 0 0 4 1011 3 139 350 0 5 497 0 2368 34 981 18 3401 936 0 986 0 0 1922 0 0 0 0 4 4 6835 Apprch % 18.7 80.9 0 0 0.4 0.6 28 70.4 0 1 0 69.6 1 28.8 0.5 48.7 0 51.3 0 0 0 0 0 0 100 Total % 2.8 12 0 0 0.1 14.8 0 2 5.1 0 0.1 7.3 0 34.6 0.5 14.4 0.3 49.8 13.7 0 14.4 0 0 28.1 0 0 0 0 0.1 0.1 Lights 168 669 0 0 4 841 2 126 321 0 5 454 0 2273 33 943 18 3267 906 0 911 0 0 1817 0 0 0 0 4 4 6383 % Lights 88.9 81.8 0 0 100 83.2 66.7 90.6 91.7 0 100 91.3 0 96 97.1 96.1 100 96.1 96.8 0 92.4 0 0 94.5 0 0 0 0 100 100 93.4 Buses 3 57 0 0 0 60 0 7 10 0 0 17 0 10 0 4 0 14 1 0 34 0 0 35 0 0 0 0 0 0 126 % Buses 1.6 7 0 0 0 5.9 0 5 2.9 0 0 3.4 0 0.4 0 0.4 0 0.4 0.1 0 3.4 0 0 1.8 0 0 0 0 0 0 1.8 Trucks 18 92 0 0 0 110 1 6 19 0 0 26 0 85 1 34 0 120 29 0 41 0 0 70 0 0 0 0 0 0 326 % Trucks 9.5 11.2 0 0 0 10.9 33.3 4.3 5.4 0 0 5.2 0 3.6 2.9 3.5 0 3.5 3.1 0 4.2 0 0 3.6 0 0 0 0 0 0 4.8 Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 2AAM FINAL
Site Code : 0000002A
Start Date : 2/17/2022
Page No : 2

N SHORELINE BLVD
Southbound

LA AVENIDA ST
Westbound
US-101 NB RAMPS
Northwestbound

N SHORELINE BLVD
Northbound
US-101 NB ON-RAMP
Eastbound
Start Time Right Thru
Bear Left
Left App. Total Right Thru Left
Hard Left App. Total Hard Right Bear Right Bear Left Hard Left App. Total Hard Right Right Thru Left App. Total Right
Bear Right
Thru Left App. Total Int. Total
Peak Hour Analysis From 07:00 AM to 10:45 AM - Peak 1 of 1 Peak Hour for Entire Intersection Begins at 07:30 AM
07:30 AM 9 30 0 0 39 0 14 18 0 32 0 159 3 68 230 76 0 45 0 121 0 0 0 0 0 422 07:45 AM 14 49 0 0 63 0 20 29 0 49 0 193 8 89 290 72 0 71 0 143 0 0 0 0 0 545 08:00 AM 18 39 0 0 57 0 18 25 0 43 0 163 10 110 283 73 0 54 0 127 0 0 0 0 0 510 08:15 AM 14 52 0 0 66 0 7 12 0 19 0 158 2 94 254 72 0 88 0 160 0 0 0 0 0 499 Total Volume 55 170 0 0 225 0 59 84 0 143 0 673 23 361 1057 293 0 258 0 551 0 0 0 0 0 1976 % App. Total 24.4 75.6 0 0 0 41.3 58.7 0 0 63.7 2.2 34.2 53.2 0 46.8 0 0 0 0 0 PHF .764 .817 .000 .000 .852 .000 .738 .724 .000 .730 .000 .872 .575 .820 .911 .964 .000 .733 .000 .861 .000 .000 .000 .000 .000 .906 Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 2AAM FINAL
Site Code : 0000002A
Start Date : 2/17/2022
Page No : 3

N SHORELINE BLVD
US-101 NB ON-RAMP

LA AVENIDA ST
N SHORELINE BLVD US-101 NB RAMPS
Right
55 Thru
170
Bear
Left
0 Left
0 InOut Total
931 225 1156
Right
0 Thru
59 Left
84 Hard
Left
0 OutTotal In
0 143 143
HardLeft361
BearLeft23
Bear
Right673
Hard
Right0
Out
293
In1057
Total
1350 Left
0 Thru
258
Right
0 Hard
Right
293
Out TotalIn
615 551 1166
Left
0 Thru
0 Bear
Right
0 Right
0 TotalOut In
137 0 137
Peak Hour Begins at 07:30 AM

Lights
Buses
Trucks
Peak Hour Data
North
Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 2AAM FINAL
Site Code : 0000002A
Start Date : 2/17/2022
Page No : 1
Groups Printed- Bikes

N SHORELINE BLVD
Southbound

LA AVENIDA ST
Westbound
US-101 NB RAMPS
Northwestbound

N SHORELINE BLVD
Southbound

LA AVENIDA ST
Westbound
US-101 NB RAMPS
Northwestbound

N SHORELINE BLVD
Northbound
US-101 NB ON-RAMP
Eastbound
Start Time Right Thru
Bear Left
Left App. Total Right Thru Left
Hard Left App. Total Hard Right Bear Right Bear Left Hard Left App. Total Hard Right Right Thru Left App. Total Right
Bear Right
Thru Left App. Total Int. Total
Peak Hour Analysis From 07:00 AM to 10:45 AM - Peak 1 of 1 Peak Hour for Entire Intersection Begins at 09:00 AM
09:00 AM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 09:15 AM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 09:30 AM 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 2 09:45 AM 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 3 Total Volume 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 4 0 4 0 0 0 0 0 6 % App. Total 0 0 0 0 100 0 0 0 0 0 0 0 0 0 100 0 0 0 0 0 PHF .000 .000 .000 .000 .000 .500 .000 .000 .000 .500 .000 .000 .000 .000 .000 .000 .000 .500 .000 .500 .000 .000 .000 .000 .000 .500 Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 2AAM FINAL
Site Code : 0000002A
Start Date : 2/17/2022
Page No : 3

N SHORELINE BLVD
US-101 NB ON-RAMP

LA AVENIDA ST
N SHORELINE BLVD US-101 NB RAMPS
Right
0 Thru
0 Bear
Left
0 Left
0 InOut Total
6 0 6
Right
2 Thru
0 Left
0 Hard
Left
0 OutTotal In
0 2 2
HardLeft0
BearLeft0
Bear
Right0
Hard
Right0
Out
0 In
0 Total
0 Left
0 Thru
4 Right
0 Hard
Right
0 Out TotalIn
0 4 4
Left
0 Thru
0 Bear
Right
0 Right
0 TotalOut In
0 0 0
Peak Hour Begins at 09:00 AM

Bikes
Peak Hour Data
North
Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 2APM FINAL
Site Code : 0000002A
Start Date : 2/17/2022
Page No : 1
Groups Printed- Lights - Buses - Trucks

N SHORELINE BLVD
Southbound

LA AVENIDA ST
Westbound
US-101 NB RAMPS
Northwestbound

N SHORELINE BLVD
Northbound
US-101 NB ON-RAMP
Eastbound
Start Time Right Thru Bear
Left
Left Peds App. Total Right Thru Left Hard
Left
Peds App. Total
Hard
Right
Bear
Right
Bear
Left
Hard
Left
Peds App. Total
Hard
Right
Right Thru Left Peds App. Total Right Bear
Right
Thru Left Peds App. Total Int. Total
03:00 PM 29 184 0 0 0 213 1 12 41 0 0 54 0 65 0 68 1 134 97 0 38 0 0 135 0 0 0 0 2 2 538 03:15 PM 20 171 0 0 1 192 0 12 28 0 0 40 0 67 1 57 0 125 70 0 51 0 0 121 0 0 0 0 0 0 478 03:30 PM 28 235 0 0 0 263 0 10 21 0 0 31 0 49 0 48 0 97 82 0 65 0 0 147 0 0 0 0 0 0 538 03:45 PM 30 114 0 0 0 144 0 15 39 0 0 54 0 52 0 51 0 103 59 0 53 0 0 112 0 0 0 0 0 0 413 Total 107 704 0 0 1 812 1 49 129 0 0 179 0 233 1 224 1 459 308 0 207 0 0 515 0 0 0 0 2 2 1967 04:00 PM 13 141 0 0 0 154 0 13 70 0 0 83 0 49 0 36 0 85 77 0 50 0 0 127 0 0 0 0 0 0 449 04:15 PM 33 129 0 0 0 162 1 13 35 0 0 49 0 42 1 51 1 95 75 0 50 0 0 125 0 0 0 0 1 1 432 04:30 PM 24 159 0 0 0 183 0 16 33 0 1 50 0 58 1 61 1 121 76 0 52 0 0 128 0 0 0 0 0 0 482 04:45 PM 22 154 0 0 0 176 3 8 37 0 1 49 0 61 0 53 1 115 74 0 46 0 0 120 0 0 0 0 0 0 460 Total 92 583 0 0 0 675 4 50 175 0 2 231 0 210 2 201 3 416 302 0 198 0 0 500 0 0 0 0 1 1 1823 05:00 PM 32 208 0 0 0 240 0 8 51 0 1 60 0 50 0 60 1 111 80 0 40 0 0 120 0 0 0 0 2 2 533 05:15 PM 24 249 0 0 0 273 2 9 36 0 0 47 0 66 0 76 0 142 86 0 58 0 0 144 0 0 0 0 2 2 608 05:30 PM 22 192 0 0 0 214 0 11 34 0 1 46 0 86 1 91 2 180 78 0 54 0 0 132 0 0 0 0 0 0 572 05:45 PM 32 177 0 0 0 209 1 10 52 0 0 63 0 72 2 67 1 142 91 0 59 0 0 150 0 0 0 0 1 1 565 Total 110 826 0 0 0 936 3 38 173 0 2 216 0 274 3 294 4 575 335 0 211 0 0 546 0 0 0 0 5 5 2278 06:00 PM 25 182 0 0 0 207 0 14 29 0 1 44 0 42 0 59 5 106 58 0 54 0 0 112 0 0 0 0 1 1 470 06:15 PM 30 209 0 0 0 239 1 10 39 0 0 50 0 41 0 53 0 94 62 0 43 0 0 105 0 0 0 0 0 0 488 06:30 PM 26 148 0 0 0 174 1 12 43 0 0 56 0 42 0 38 0 80 60 0 58 0 0 118 0 0 0 0 0 0 428 06:45 PM 12 111 0 0 0 123 0 7 17 0 0 24 0 67 0 52 0 119 62 0 59 0 0 121 0 0 0 0 0 0 387 Total 93 650 0 0 0 743 2 43 128 0 1 174 0 192 0 202 5 399 242 0 214 0 0 456 0 0 0 0 1 1 1773 07:00 PM 18 97 0 0 0 115 0 10 19 0 0 29 0 50 0 61 0 111 52 0 63 0 0 115 0 0 0 0 1 1 371 07:15 PM 14 97 0 0 0 111 0 5 24 0 0 29 0 54 0 60 0 114 45 0 48 0 0 93 0 0 0 0 0 0 347 Grand Total 434 2957 0 0 1 3392 10 195 648 0 5 858 0 1013 6 1042 13 2074 1284 0 941 0 0 2225 0 0 0 0 10 10 8559 Apprch % 12.8 87.2 0 0 0 1.2 22.7 75.5 0 0.6 0 48.8 0.3 50.2 0.6 57.7 0 42.3 0 0 0 0 0 0 100 Total % 5.1 34.5 0 0 0 39.6 0.1 2.3 7.6 0 0.1 10 0 11.8 0.1 12.2 0.2 24.2 15 0 11 0 0 26 0 0 0 0 0.1 0.1 Lights 431 2896 0 0 1 3328 9 189 636 0 5 839 0 946 6 1031 13 1996 1260 0 873 0 0 2133 0 0 0 0 10 10 8306 % Lights 99.3 97.9 0 0 100 98.1 90 96.9 98.1 0 100 97.8 0 93.4 100 98.9 100 96.2 98.1 0 92.8 0 0 95.9 0 0 0 0 100 100 97 Buses 0 35 0 0 0 35 1 3 9 0 0 13 0 50 0 0 0 50 3 0 49 0 0 52 0 0 0 0 0 0 150 % Buses 0 1.2 0 0 0 1 10 1.5 1.4 0 0 1.5 0 4.9 0 0 0 2.4 0.2 0 5.2 0 0 2.3 0 0 0 0 0 0 1.8 Trucks 3 26 0 0 0 29 0 3 3 0 0 6 0 17 0 11 0 28 21 0 19 0 0 40 0 0 0 0 0 0 103 % Trucks 0.7 0.9 0 0 0 0.9 0 1.5 0.5 0 0 0.7 0 1.7 0 1.1 0 1.4 1.6 0 2 0 0 1.8 0 0 0 0 0 0 1.2 Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 2APM FINAL
Site Code : 0000002A
Start Date : 2/17/2022
Page No : 2

N SHORELINE BLVD
Southbound

LA AVENIDA ST
Westbound
US-101 NB RAMPS
Northwestbound

N SHORELINE BLVD
Northbound
US-101 NB ON-RAMP
Eastbound
Start Time Right Thru
Bear Left
Left App. Total Right Thru Left
Hard Left App. Total Hard Right Bear Right Bear Left Hard Left App. Total Hard Right Right Thru Left App. Total Right
Bear Right
Thru Left App. Total Int. Total
Peak Hour Analysis From 03:00 PM to 07:15 PM - Peak 1 of 1 Peak Hour for Entire Intersection Begins at 05:00 PM
05:00 PM 32 208 0 0 240 0 8 51 0 59 0 50 0 60 110 80 0 40 0 120 0 0 0 0 0 529 05:15 PM 24 249 0 0 273 2 9 36 0 47 0 66 0 76 142 86 0 58 0 144 0 0 0 0 0 606 05:30 PM 22 192 0 0 214 0 11 34 0 45 0 86 1 91 178 78 0 54 0 132 0 0 0 0 0 569 05:45 PM 32 177 0 0 209 1 10 52 0 63 0 72 2 67 141 91 0 59 0 150 0 0 0 0 0 563 Total Volume 110 826 0 0 936 3 38 173 0 214 0 274 3 294 571 335 0 211 0 546 0 0 0 0 0 2267 % App. Total 11.8 88.2 0 0 1.4 17.8 80.8 0 0 48 0.5 51.5 61.4 0 38.6 0 0 0 0 0 PHF .859 .829 .000 .000 .857 .375 .864 .832 .000 .849 .000 .797 .375 .808 .802 .920 .000 .894 .000 .910 .000 .000 .000 .000 .000 .935 Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 2APM FINAL
Site Code : 0000002A
Start Date : 2/17/2022
Page No : 3

N SHORELINE BLVD
US-101 NB ON-RAMP

LA AVENIDA ST
N SHORELINE BLVD US-101 NB RAMPS
Right
110
Thru
826
Bear
Left
0 Left
0 InOut Total
488 936 1424
Right
3 Thru
38 Left
173
Hard
Left
0 OutTotal In
0 214 214
HardLeft294
BearLeft3
Bear
Right274
Hard
Right0
Out
335
In
571
Total
906
Left
0 Thru
211
Right
0 Hard
Right
335
Out TotalIn
1293 546 1839
Left
0 Thru
0 Bear
Right
0 Right
0 TotalOut In
151 0 151
Peak Hour Begins at 05:00 PM

Lights
Buses
Trucks
Peak Hour Data
North
Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 2APM FINAL
Site Code : 0000002A
Start Date : 2/17/2022
Page No : 1
Groups Printed- Bikes

N SHORELINE BLVD
Southbound

LA AVENIDA ST
Westbound
US-101 NB RAMPS
Northwestbound

N SHORELINE BLVD
Southbound

LA AVENIDA ST
Westbound
US-101 NB RAMPS
Northwestbound

N SHORELINE BLVD
Northbound
US-101 NB ON-RAMP
Eastbound
Start Time Right Thru
Bear Left
Left App. Total Right Thru Left
Hard Left App. Total Hard Right Bear Right Bear Left Hard Left App. Total Hard Right Right Thru Left App. Total Right
Bear Right
Thru Left App. Total Int. Total
Peak Hour Analysis From 03:00 PM to 07:15 PM - Peak 1 of 1 Peak Hour for Entire Intersection Begins at 04:00 PM
04:00 PM 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 2 04:15 PM 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 04:30 PM 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 2 04:45 PM 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 Total Volume 0 3 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 2 0 3 0 0 0 0 0 6 % App. Total 0 100 0 0 0 0 0 0 0 0 0 0 0 33.3 66.7 0 0 0 0 0 PHF .000 .750 .000 .000 .750 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .250 .500 .000 .750 .000 .000 .000 .000 .000 .750 Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]
File Name : 2APM FINAL
Site Code : 0000002A
Start Date : 2/17/2022
Page No : 3

N SHORELINE BLVD
US-101 NB ON-RAMP

LA AVENIDA ST
N SHORELINE BLVD US-101 NB RAMPS
Right
0 Thru
3 Bear
Left
0 Left
0 InOut Total
2 3 5
Right
0 Thru
0 Left
0 Hard
Left
0 OutTotal In
1 0 1
HardLeft0
BearLeft0
Bear
Right0
Hard
Right0
Out
0 In
0 Total
0 Left
0 Thru
2 Right
1 Hard
Right
0 Out TotalIn
3 3 6
Left
0 Thru
0 Bear
Right
0 Right
0 TotalOut In
0 0 0
Peak Hour Begins at 04:00 PM

Bikes
Peak Hour Data
North
Traffic Data Service
San Jose, CA
(408) 622-4787
[email protected]

Appendix C: Data Tables for Figures

Inbound Outbound Total Inbound Outbound Total Inbound Outbound Total Inbound Outbound Total Min Volume 642 107 764 528 124 677 968 262 1,261 2,673 501 3,182 Max Volume 1,226 122 1,341 700 165 865 1,204 468 1,672 3,037 729 3,786 Weekly Average 1,060 115 1,175 587 151 738 1,046 439 1,485 2,692 705 3,397 Range 584 15 577 172 41 188 236 206 411 364 228 604
Min / Average -39% -7% -35% -10% -18% -8% -7% -40% -15% -1% -29% -6% Max / Average 16% 6% 14% 19% 9% 17% 15% 7% 13% 13% 3% 11% Range / Average 55% 13% 49% 29% 27% 25% 23% 47% 28% 14% 32% 18% Min Volume 621 222 872 235 552 825 434 915 1,349 1,359 1,775 3,134 Max Volume 825 274 1,047 319 727 982 500 1,275 1,775 1,544 2,162 3,646 Weekly Average 691 248 939 283 636 918 477 1,158 1,635 1,451 2,042 3,492 Range 204 52 175 84 175 157 66 360 426 185 387 512
Min / Average -10% -10% -7% -17% -13% -10% -9% -21% -18% -6% -13% -10% Max / Average 19% 11% 12% 13% 14% 7% 5% 10% 9% 6% 6% 4% Range / Average 30% 21% 19% 30% 28% 17% 14% 31% 26% 13% 19% 15% Inbound Outbound Total Inbound Outbound Total Inbound Outbound Total Inbound Outbound Total Min Volume 2,269 304 2,651 1,244 414 1,658 2,689 833 3,589 7,014 1,660 8,981 Max Volume 3,490 382 3,807 1,541 499 2,040 3,221 1,393 4,614 7,955 2,245 10,066 Weekly Average 3,055 343 3,398 1,338 466 1,804 2,945 1,294 4,240 7,339 2,102 9,441 Range 1,221 78 1,156 297 85 382 532 560 1,025 941 585 1,085 Min / Average -26% -11% -22% -7% -11% -8% -9% -36% -15% -4% -21% -5% Max / Average 14% 12% 12% 15% 7% 13% 9% 8% 9% 8% 7% 7%
Range / Average 40% 23% 34% 22% 18% 21% 18% 43% 24% 13% 28% 11% Min Volume 1,715 545 2,316 677 1,387 2,129 1,351 2,417 3,768 3,890 4,495 8,395 Max Volume 1,932 613 2,528 780 1,693 2,370 1,504 3,284 4,765 4,153 5,412 9,557 Weekly Average 1,862 590 2,451 741 1,540 2,281 1,414 3,109 4,523 4,017 5,239 9,255 Range 217 68 212 103 306 241 153 867 997 263 917 1,162
Min / Average -8% -8% -6% -9% -10% -7% -4% -22% -17% -3% -14% -9% Max / Average 4% 4% 3% 5% 10% 4% 6% 6% 5% 3% 3% 3%
Range / Average 12% 12% 9% 14% 20% 11% 11% 28% 22% 7% 18% 13% AM Peak Period (07:30 AM - 10:30 AM)
PM Peak Period (03:00 PM - 06:00 PM)
AM Peak Hour (08:30 AM - 09:30 AM)
PM Peak Hour (05:00 PM - 06:00 PM)
Table C2: Peak Period Volume Comparison (Comparing Min/max Values For Same Peak Period Across Both Weeks) San Antonio Gateway (San Anonio
Road + Bayshore Parkway) Rengstorff Gateway Shoreline Gateway (Shoreline Boulevard + La Avenida Street) Gateways Total
Table C1: Peak Hour Volume Comparison (Comparing Min/max Values For Same Peak Hour Across Both Weeks) San Antonio Gateway (San Anonio
Road + Bayshore Parkway) Rengstorff Gateway Shoreline Gateway (Shoreline Boulevard + La Avenida Street) Gateways Total
Time Inbound Outbound Total Inbound Outbound Total Inbound Outbound Total Inbound Outbound Total 12:00 AM 39 6 45 8 14 22 37 85 123 84 106 189
12:15 AM 36 6 42 7 10 17 34 71 105 76 87 164
12:30 AM 3 474 1 5 9 1 43 26 09 27 17 7 1 47
12:45 AM 3 073 7 5 9 1 42 84 87 66 26 5 1 27
1:00 AM 2 973 6 5 9 1 42 64 26 85 95 8 1 17
1:15 AM 25 8 33 5 10 15 23 42 64 53 59 111
1:30 AM 24 9 33 6 18 24 22 43 65 52 69 122
1:45 AM 3 3 1 1 4 4 6 2 93 53 15 38 47 19 3 1 63
2:00 AM 3 9 1 1 5 0 5 2 83 33 75 28 98 19 1 1 71
2:15 AM 4 7 1 0 5 7 4 2 53 04 54 89 39 78 3 1 80
2:30 AM 53 9 61 8 17 26 51 40 91 112 66 178
2:45 AM 55 8 64 12 6 19 53 28 81 121 43 164
3:00 AM 65 10 74 24 7 31 62 32 94 151 48 199
3:15 AM 83 14 97 32 9 40 69 39 108 184 62 246
3:30 AM 109 17 125 39 9 48 83 46 129 231 72 303
3:45 AM 153 18 171 59 22 81 116 76 192 328 116 444
4:00 AM 238 21 259 92 28 119 190 88 278 519 137 657
4:15 AM 297 24 321 118 28 146 241 106 347 656 158 814
4:30 AM 384 29 413 161 32 192 321 125 446 866 185 1052
4:45 AM 492 32 523 218 24 242 421 122 543 1130 178 1309 5:00 AM 605 32 637 297 27 324 527 143 670 1429 202 1631 5:15 AM 754 38 791 348 32 380 679 157 836 1780 226 2006 5:30 AM 861 38 899 378 46 424 789 173 962 2027 257 2285 5:45 AM 935 41 976 376 65 440 867 206 1073 2177 311 2489 6:00 AM 968 44 1012 349 74 423 903 219 1122 2220 337 2557 6:15 AM 938 45 983 327 88 416 871 240 1112 2137 373 2510 6:30 AM 920 53 973 307 99 406 851 274 1125 2077 426 2504 6:45 AM 917 61 977 290 112 402 846 303 1149 2052 476 2528 7:00 AM 944 72 1016 271 139 410 872 361 1233 2087 571 2658 7:15 AM 1036 88 1124 299 149 448 956 403 1359 2291 639 2930 7:30 AM 1113 95 1208 339 149 487 1026 424 1449 2477 667 3144 7:45 AM 1152 105 1258 405 141 546 1057 432 1489 2614 678 3293 8:00 AM 1154 110 1265 488 136 623 1052 424 1476 2693 670 3363 8:15 AM 1107 110 1217 547 140 688 1049 435 1484 2703 685 3388 8:30
AM 1060 115 1175 587 151 738 1046 439 1485 2692 705 3397 8:45 AM 1003 119 1122 582 162 744 1029 441 1470 2614 722 3336 9:00 AM 940 129 1069 534 165 700 1004 442 1447 2478 737 3215 9:15 AM 909 131 1040 471 169 640 936 432 1368 2316 732 3047 9:30 AM 883 133 1015 413 166 579 874 432 1306 2169 731 2900 9:45 AM 850 139 989 358 176 535 810 439 1249 2019 754 2772 10:00 AM 835 137 971 319 175 494 764 437 1200 1918 748 2666 10:15 AM 788 147 935 294 188 481 715 462 1177 1796 797 2593 10:30 AM 770 156 926 287 195 481 694 479 1174 1751 830 2581 10:45 AM 799 155 954 308 197 505 721 497 1218 1829 848 2677 11:00 AM 847 160 1006 328 219 547 766 538 1304 1940 916 2857 11:15 AM 898 158 1056 357 257 614 816 593 1409 2071 1008 3079 11:30 AM 940 158 1098 376 293 670 858 657 1515 2174 1108 3282 11:45 AM 929 154 1083 371 318 689 846 728 1574 2146 1201 3346 12:00 PM 877 151 1028 354 335 689 793 781 1574 2024 1267 3291 12:15 PM 838 147 985 325 344 668 756 802 1558 1919 1292 3211 12:30 PM 783 142 925 281 362 643 703 821 1523 1767 1325 3092 12:45 PM 721 151 871 240 390 631 642 850 1493 1603 1391 2994 1:00 PM 694 163 857 211 419 630 618 865 1483 1523 1447 2970 1:15 PM 638 177 815 192 467 659 563 963 1527 1393 1607 3000 1:30 PM 583 184 767 176 491 667 510 1024 1534 1269 1698 2967 1:45 PM 566 188 754 169 527 695 496 1074 1569 1231 1788 3019 2:00 PM 537 192 728 168 513 681 468 1118 1587 1172 1823 2995 2:15 PM 548 183 730 166 475 641 475 1055 1530 1189 1712 2901 2:30 PM 552 173 725 173 455 628 475 1030 1504 1200 1658 2857 2:45 PM 571 169 740 186 427 613 489 1036 1525 1246 1632 2878 3:00 PM 554 159 713 226 421 647 468 977 1445 1247 1558 2805 3:15 PM 565 161 726 249 455 704 463 950 1413 1277 1567 2843 3:30 PM 579 172 751 247 451 698 462 944 1406 1288 1567 2854 3:45 PM 586 171 757 251 455 705 454 923 1376 1290 1548 2838 4:00 PM 617 183 799 233 483 716 469 974 1443 1319 1639 2958 4:15 PM 628 215 843 236 516 752 464 1067 1531 1328 1797 3126 4:30 PM 646 228 875 281 576 858 466 1149 1614 1393 1953 3346 4:45 PM 666 244 911 298 635 932 469 1158 1628 1433 2037 3470 5:00 PM 691 248 939 283 636 918 477 1158 1635 1451 2042 3492 5:15 PM 642 221 862 267 588 855 460 1089 1549 1369 1897 3266 5:30 PM 591 203 794 216 531 747 442 1007 1449 1249 1741 2990 5:45 PM 530 182 712 188 437 625 414 927 1341 1132 1545 2677 6:00 PM 478 156 634 217 393 610 394 839 1233 1089 1388 2477 6:15 PM 461 125 585 213 390 603 389 731 1120 1063 1245 2308 6:30 PM 434 100 534 203 353 556 376 617 992 1012 1070 2083 6:45 PM 405 82 486 189 316 505 359 534 893 953 931 1884 7:00 PM 361 66 427 131 294 425 329 477 806 821 837 1658 7:15 PM 328 61 389 103 216 319 300 427 726 730 704 1434 7:30 PM 292 57 349 98 175 273 268 378 645 657 610 1267
7:45 PM 259 51 309 83 171 254 238 334 572 580 555 1135
8:00 PM 216 44 260 67 145 212 199 288 487 482 477 959
8:15 PM 192 37 230 54 125 178 178 278 455 424 440 863
8:30 PM 179 29 208 41 129 170 166 274 440 386 431 817
8:45 PM 174 24 198 36 106 142 163 263 426 374 392 766
9:00 PM 177 21 198 43 88 131 168 239 408 388 348 736
9:15 PM 172 19 191 43 74 117 164 206 370 379 298 677
9:30 PM 155 18 173 39 58 98 147 190 337 341 266 607
9:45 PM 129 16 145 34 51 85 122 190 312 285 258 543
10:00 PM 106 14 119 21 46 67 100 192 292 226 252 478
10:15 PM 88 15 102 16 39 55 82 184 266 186 237 423
10:30 PM 77 14 91 13 28 41 72 151 222 161 193 354
10:45 PM 68 13 81 12 20 33 64 112 176 144 145 289
11:00 PM 61 13 74 12 19 31 56 100 156 129 132 261
Table C3: Gateway Hourly Vehicle Totals
San Antonio / Bayshore Rengstorff Shoreline / La Avenida All Gateways Vehicle Persons Vehicle
Volume
Person
Volume Vehicle Persons Vehicle
Volume
Person
Volume
SOV with TNC 79% 61% 2,250 2,250 SOV 79% 62% 2,250 2,241 HOV with TNC 12% 19% 334 709 HOV 12% 18% 334 658
Transit 4% 15% 107 537 Transit 4% 15% 107 537
Bike 3% 3% 102 102 Bike 3% 3% 102 102
Ped 2% 2% 60 60 Ped 2% 2% 60 60
Total 100% 100% 2,850 3,660 Total 100% 100% 2,850 3,600 Vehicle Persons Vehicle
Volume
Person
Volume Vehicle Persons Vehicle
Volume
Person
Volume
SOV with TNC 78% 65% 1,689 1,689 SOV 78% 65% 1,689 1,684 HOV with TNC 15% 28% 325 726 HOV 15% 27% 325 704
Transit 1% 2% 28 59 Transit 2% 2% 28 59
Bike 3% 2% 62 62 Bike 2% 3% 62 62
Ped 3% 3% 72 72 Ped 3% 3% 72 72
Total 100% 100% 2,180 2,610 Total 100% 100% 2,180 2,580 Gateway
SOV &
SOV TNC*
HOV &
HOV TNC* Transit Bike Ped Total SOV HOV Transit Bike Ped Total San Antonio 40% 25% 53% 17% 29% 38% 901 167 283 17 17 1,385 Rengstorff 19% 41% 39% 4% 12% 26% 428 268 212 4 7 920
Shoreline 41% 34% 8% 4% 0% 33% 912 223 42 5 0 1,182
Permanente Creek Trail 0% 0% 0% 24% 25% 1% 0 0 0 24 15 39 Stevens Creek Trail 0% 0% 0% 51% 34% 2% 0 0 0 52 20 72
Total 100% 100% 100% 100% 100% 100% 2,241 658 537 102 60 3,598 Gateway
SOV &
SOV TNC*
HOV &
HOV TNC* Transit Bike Ped Total SOV HOV Transit Bike Ped Total San Antonio 12% 9% 54% 12% 4% 12% 202 63 32 7 3 307
Rengstorff 33% 26% 36% 15% 7% 30% 549 180 21 9 5 764
Shoreline 55% 65% 10% 12% 0% 54% 933 461 6 8 0 1,408
Permanente Creek Trail 0% 0% 0% 24% 26% 1% 0 0 0 15 19 34 Stevens Creek Trail 0% 0% 0% 37% 63% 3% 0 0 0 23 45 68
Total 100% 100% 100% 100% 100% 100% 1,684 704 59 62 72 2,581 Table C8 (Figure 16 & 17): Existing Inbound Morning Peak Hour Persons by Gateway (Excludes TNC Drivers) Table C9 (Figure 18 & 19): Existing Outbound Evening Peak Hour Persons by Gateway (Excludes TNC Drivers) Table C4 (Figure 12): Existing Morning Inbound Peak Hour Mode Share for Vehicles and Persons (with TNC Drivers)
Table C5 (Figure 13): Existing Morning Inbound Peak Hour Mode Share for Vehicles and Persons (excludes TNC Drivers)
Table C6 (Figure 14): Existing Evening Outbound Peak Hour Mode Share for Vehicles and Persons (with TNC Drivers)
Table C7 (Figure 15): Existing Evening Outbound Peak Hour Mode Share for Vehicles and Persons (Excludes TNC Drivers)
*Transportation network companies (TNC) (e.g., Uber, Lyft, etc.) were observed by vehicle occupancy (1 person, 2 persons, 3 persons, and 4+persons). One-person (i.e., driver only) TNC vehicles were included as single occupancy vehicles (SOV), while TNC vehicles with two or more persons were included as high occupancy vehicles (HOV).

Vehicle Persons Vehicle
Volume
Person
Volume Vehicle Persons Vehicle
Volume
Person
Volume
SOV with TNC 80% 66% 6,162 6,162 SOV 80% 67% 6,162 6,126 HOV with TNC 12% 21% 936 1,980 HOV 12% 20% 936 1,855
Transit 3% 8% 241 731 Transit 3% 8% 241 731
Bike 3% 3% 243 243 Bike 3% 3% 243 243
Ped 2% 2% 144 144 Ped 2% 2% 144 144
Total 100% 100% 7,730 9,260 Total 100% 100% 7,730 9,100 Vehicle Persons Vehicle
Volume
Person
Volume Vehicle Persons Vehicle
Volume
Person
Volume
SOV with TNC 76% 62% 4,309 4,309 SOV 76% 63% 4,309 4,301 HOV with TNC 14% 26% 808 1,807 HOV 14% 26% 808 1,763
Transit 2% 5% 120 364 Transit 3% 5% 120 364
Bike 5% 4% 248 248 Bike 4% 4% 248 248
Ped 3% 3% 175 175 Ped 3% 2% 175 175
Total 100% 100% 5,660 6,900 Total 100% 100% 5,660 6,850 Gateway
SOV &
SOV TNC*
HOV &
HOV TNC* Transit Bike Ped Total SOV HOV Transit Bike Ped Total San Antonio 42% 31% 57% 21% 19% 40% 2,579 563 415 51 28 3,636 Rengstorff 16% 33% 32% 4% 13% 21% 997 619 235 11 19 1,881 Shoreline 42% 36% 11% 5% 3% 36% 2,550 673 81 12 4 3,320 Permanente Creek Trail 0% 0% 0% 24% 28% 1% 0 0 0 58 40 98 Stevens Creek Trail 0% 0% 0% 46% 37% 2% 0 0 0 111 53 164 Total 100% 100% 100% 100% 100% 100% 6,126 1,855 731 243 144 9,099 Gateway
SOV &
SOV TNC*
HOV &
HOV TNC* Transit Bike Ped Total SOV HOV Transit Bike Ped Total San Antonio 11% 10% 39% 7% 5% 12% 462 175 143 19 9 808
Rengstorff 28% 35% 42% 7% 6% 30% 1,230 614 152 17 10 2,023 Shoreline 61% 55% 19% 5% 2% 53% 2,609 974 69 12 3 3,667 Permanente Creek Trail 0% 0% 0% 24% 36% 2% 0 0 0 59 64 123 Stevens Creek Trail 0% 0% 0% 57% 51% 3% 0 0 0 141 89 230 Total 100% 100% 100% 100% 100% 100% 4,301 1,763 364 248 175 6,851 Table C14 (Figure 20): Existing Inbound Morning Peak Hour Persons by Gateway (Excludes TNC Drivers) Table C15 (Figure 20): Existing Outbound Evening Peak Hour Persons by Gateway (Excludes TNC Drivers )
*Transportation network companies (TNC) (e.g., Uber, Lyft, etc.) were observed by vehicle occupancy (1 person, 2 persons, 3 persons, and 4+persons). One-person (i.e., driver only) TNC vehicles were included as single occupancy vehicles (SOV), while TNC vehicles with two or more persons were included as high occupancy vehicles (HOV).

Table C10: Existing Morning Inbound Peak Hour Mode Share for Vehicles and Persons (with TNC Drivers)
Table C11: Existing Morning Inbound Peak Hour Mode Share for Vehicles and Persons (excludes TNC Drivers)
Table C12: Existing Evening Outbound Peak Hour Mode Share for Vehicles and Persons (with TNC Drivers)
Table C13: Existing Evening Outbound Peak Hour Mode Share for Vehicles and Persons (Excludes TNC Drivers)
Mode Spring 2014 Spring 2015 Fall 2015 Spring 2016 Fall 2016 Spring 2017 Fall 2017 Spring 2018 Fall 2018 Spring 2019 Fall 2019 Spring 2020 Fall 2020* Spring 2021* Fall 2021 Spring 2022 SOV 51% 55% 53% 60% 56% 52% 49% 52% 52.0% 55% 50% 57% - - 70% 62% HOV 12% 12% 14% 17% 14% 13% 15% 14% 12% 12% 8% 11% - - 13% 18% Transit 33% 26% 26% 17% 23% 28% 32% 30% 32% 31% 37% 28% - - 11% 15% Bike 3% 6% 6% 5% 6% 6% 3% 3% 3% 2% 4% 3% - - 4% 3%
Ped 1% 1% 1% 1% 1% 1% 1% 1% 1% 0% 1% 1% - - 2% 2%
Total 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% Mode Spring 2014 Spring 2015 Fall 2015 Spring 2016 Fall 2016 Spring 2017 Fall 2017 Spring 2018 Fall 2018 Spring 2019 Fall 2019 Spring 2020 Fall 2020* Spring 2021* Fall 2021 Spring 2022 SOV 58% 56% 55% 61% 55% 55% 48% 52% 54% 57% 51% 60% - - 70% 66% HOV 13% 13% 14% 14% 14% 13% 14% 14% 12% 12% 8% 11% - - 12% 19% Transit 25% 25% 24% 19% 23% 26% 34% 30% 30% 28% 36% 25% - - 12% 10% Bike 3% 5% 6% 5% 7% 5% 3% 3% 3% 2% 4% 3% - - 4% 3%
Ped 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% - - 2% 2%
Total 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% Mode Spring 2014 Spring 2015 Fall 2015 Spring 2016 Fall 2016 Spring 2017 Fall 2017 Spring 2018 Fall 2018 Spring 2019 Fall 2019 Spring 2020 Fall 2020* Spring 2021* Fall 2021 Spring 2022 SOV ------ 49% 52% 55.0% 56% 52% 61% - - 72% 67%
HOV ------ 15% 14% 12% 12% 9% 11% - - 14% 20%
Transit ------ 32% 30% 29% 29% 34% 24% - - 9% 8%
Bike ------ 3% 3% 3% 2% 4% 3% - - 3% 3%
Ped ------ 1% 1% 1% 1% 1% 1% - - 2% 2%
Total ------ 100% 100% 100% 100% 100% 100% -- 100% 100% *No monitoring was conducted in Fall 2020 and Spring 2021 due to COVID lock down.

Table C17 (Figure 26): Historical Inbound Morning Peak Period (7-10 AM) Person Mode Split Comparison Table C18 (Figure 27): Historical Inbound Morning Peak Period (8-11 AM) Person Mode Split Comparison Table C16 (Figure 23, 24, 25): Historical Inbound Morning Peak Hour Person Mode Split Comparison Additional Tables for Information Purpose
Mode Vehicle
Percenatge
Person
Percentage
(Without
TNC Driver)*
Person
Percentage
(With TNC
Driver)**
Vehicle
Volume
Person
Volume
(Without
TNC Driver)*
Person
Volume
(With TNC
Driver)**
SOV 78.6% 62.3% 61% 2,241 2,241 2,241
TNC1 0.3% 0.0% 0% 90 9
TNC2 1.6% 1.3% 2% 45 45 90
HOV 9.9% 16.7% 16% 283 601 601
TNC3 0.2% 0.3% 0% 61 2 18
TNC4 0.0% 0.0% 0% 00 0
Private Shuttles 2.5% 13.7% 14% 72 494 494
MVGO 0.6% 0.1% 0% 17 4 4
VTA 0.6% 1.1% 1% 17 39 39
ACE 0.0% 0.0% 0% 10 0
Bike 3.6% 2.8% 3% 102 102 102
Ped 2.1% 1.7% 2% 60 60 60
Total 100% 100% 100% 2,853 3,598 3,658
Mode Vehicle
Percenatge
Person
Percentage
(Without
TNC Driver)*
Person
Percentage
(With TNC
Driver)**
Vehicle
Volume
Person
Volume
(Without
TNC Driver)*
Person
Volume
(With TNC
Driver)**
SOV 77.4% 65.2% 65% 1,684 1,684 1,684
TNC1 0.2% 0.0% 0% 50 5
TNC2 0.9% 0.7% 1% 19 19 38
HOV 13.9% 26.3% 26% 303 679 679
TNC3 0.1% 0.2% 0% 36 9
TNC4 0.0% 0.0% 0% 00 0
Private Shuttles 0.7% 1.9% 2% 15 48 48
MVGO 0.4% 0.4% 0% 91 1 11
VTA 0.1% 0.0% 0% 30 0
ACE 0.0% 0.0% 0% 10 0
Bike 2.9% 2.4% 2% 62 62 62
Ped 3.3% 2.8% 3% 72 72 72
Total 100% 100% 100% 2,176 2,581 2,608
Gateway SOV TNC1 TNC2 HO V TNC3 TNC4 Shuttles MVGO VTA ACE Bike Ped Total San Antonio 901 0 17 150 0 0 283 0 0 0 17 17 1,385
Rengstorff 428 06 2 60 20 2 03 09047 9 20
Shoreline 912 0 22 191 10 0 8 4 30 0 5 0 1,182
Permanente Creek Trail 0000000000 2 4 1 5 3 9
Stevens Creek Trail 0000000000 5 2 2 0 7 2
Total 2,241 0 45 601 12 0 494 4 39 0 102 60 3,598
Gateway SOV TNC1 TNC2 HO V TNC3 TNC4 Shuttles MVGO VTA ACE Bike Ped Total San Antonio 40.2% 0.0% 37.8% 25.0% 0.0% 0.0% 57.3% 0.0% 0.0% 0.0% 16.8% 28.8% 38.5% Rengstorff 19.1% 0.0% 13.3% 43.3% 16.7% 0.0% 41.1% 0.0% 23.1% 0.0% 4.2% 12.5% 25.6% Shoreline 40.7% 0.0% 48.9% 31.8% 83.3% 0.0% 1.6% 100.0% 76.9% 0.0% 4.5% 0.0% 32.8% Permanente Creek Trail 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 23.5% 25.2% 1.1% Stevens Creek Trail 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 51.0% 33.6% 2.0% Total 100% 0% 100% 100% 100% 0% 100% 100% 100% 0% 100% 100% 100% Gateway SOV TNC1 TNC2 HO V TNC3 TNC4 Shuttles MVGO VTA ACE Bike Ped Total San Antonio 202 0 3 60 0 0 27 50073 3 07
Rengstorff 549 04 1 76 00 2 1 00095 7 64
Shoreline 933 0 12 443 60060080 1,408
Permanente Creek Trail 0000000000 1 5 1 9 3 4
Stevens Creek Trail 0000000000 2 3 4 5 6 8
Total 1,684 0 19 679 6 0 48 11 0 0 62 72 2,581
Gateway SOV TNC1 TNC2 HO V TNC3 TNC4 Shuttles MVGO VTA ACE Bike Ped Total San Antonio 12.0% 0.0% 15.8% 8.8% 0.0% 0.0% 56.3% 45.5% 0.0% 0.0% 11.6% 4.3% 11.9% Rengstorff 32.6% 0.0% 21.1% 25.9% 0.0% 0.0% 43.8% 0.0% 0.0% 0.0% 14.8% 7.1% 29.6% Shoreline 55.4% 0.0% 63.2% 65.2% 100.0% 0.0% 0.0% 54.5% 0.0% 0.0% 12.4% 0.0% 54.5% Permanente Creek Trail 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 24.2% 26.3% 1.3% Stevens Creek Trail 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 37.0% 62.3% 2.6% Total 100% 0% 100% 100% 100% 0% 100% 100% 0% 0% 100% 100% 100% Table C23: Evening Outbound Peak Hour Mode Share Person Volume, By Gateway (Without TNC Driver) Table C24: Evening Outbound Peak Hour Mode Share Person Percentage, By Gateway (Without TNC Driver) Table C19: Existing Morning Inbound Peak Hour Mode Share for Persons and Vehicles, All Gateways Combined
Table C20: Existing Evening Outbound Peak Hour Mode Share for Persons and Vehicles, All Gateways Combined
*Transportation network companies (TNC) (e.g., Uber, Lyft, etc.) were observed by vehicle occupancy (1 person, 2 persons, 3 persons, and 4+persons).The driver was not considered a part of the person volume; therefore, TNC1 = 0 persons per vehicle; TNC2 = 1 person per vehicle; TNC3 = 2 persons per vehicle;
and TNC4 = 3 person per vehicle.
** Transportation network companies (TNC) (e.g., Uber, Lyft, etc.) were observed by vehicle occupancy (1 person, 2 persons, 3 persons, and 4+persons). One-person (i.e., driver only) TNC vehicles were included as single occupancy vehicles (SOV), while TNC vehicles with two or more persons were included as
high occupancy vehicles (HOV). The driver was considered a part of the person volume and an average vehicle occupancy during the morning peak hour and the evening peak hour was applied to the sum of HOV, TNC2, TNC3, and TNC4. This table shows TNC2 = 2 persons per vehicle; TNC3 = 3 person per vehicle; TNC4 = 4 persons per vehicle; and the HOV person volume is the remainder of the person volume to achieve the average vehicle occupancy for HOV plus HOV TNCs.

Table C21: Morning Inbound Peak Hour Mode Share Person Volume, By Gateway (Without TNC Driver) Table C22: Morning Inbound Peak Hour Mode Share Person Percentage, By Gateway (Without TNC Driver) Additional Tables for Information Purpose
Mode Vehicle
Percenatge
Person
Percentage
(Without
TNC Driver)*
Person
Percentage
(With TNC
Driver)**
Vehicle
Volume
Person
Volume
(Without
TNC Driver)*
Person
Volume
(With TNC
Driver)**
SOV 79.3% 67.3% 66% 6,126 6,126 6,126
TNC1 0.5% 0.0% 0% 36 0 36
TNC2 1.5% 1.2% 2% 113 113 226
HOV 10.5% 18.9% 19% 811 1,718 1,718
TNC3 0.2% 0.3% 0% 12 24 36
TNC4 0.0% 0.0% 0% 00 0
Private Shuttles 1.8% 7.0% 7% 141 641 641
MVGO 0.9% 0.1% 0% 68 5 5
VTA 0.4% 0.9% 1% 29 85 85
ACE 0.0% 0.0% 0% 30 0
Bike 3.1% 2.7% 3% 243 243 243
Ped 1.9% 1.6% 2% 144 144 144
Total 100% 100% 100% 7,726 9,099 9,260
Mode Vehicle
Percenatge
Person
Percentage
(Without
TNC Driver)*
Person
Percentage
(With TNC
Driver)**
Vehicle
Volume
Person
Volume
(Without
TNC Driver)*
Person
Volume
(With TNC
Driver)**
SOV 76.0% 62.8% 62% 4,301 4,301 4,301
TNC1 0.1% 0.0% 0% 80 8
TNC2 0.7% 0.6% 1% 40 40 80
HOV 13.5% 25.0% 25% 764 1,715 1,715
TNC3 0.1% 0.1% 0% 48 12
TNC4 0.0% 0.0% 0% 00 0
Private Shuttles 1.2% 4.3% 4% 67 297 297
MVGO 0.5% 0.6% 1% 27 44 44
VTA 0.4% 0.3% 0% 23 23 23
ACE 0.1% 0.0% 0% 30 0
Bike 4.4% 3.6% 4% 248 248 248
Ped 3.1% 2.6% 3% 175 175 175
Total 100% 100% 100% 5,660 6,851 6,903
Gateway SOV TNC1 TNC2 HO V TNC3 TNC4 Shuttles MVGO VTA ACE Bike Ped Total San Antonio 2,579 0 33 530 0 0 415 0 0 0 51 28 3,636
Rengstorff 997 0 16 597 6 0 210 0 25 0 11 19 1,881
Shoreline 2,550 0 64 591 18 0 16 5 60 0 12 4 3,320
Permanente Creek Trail 0000000000 5 8 4 0 9 8
Stevens Creek Trail 0000000000 1 11 5 3 1 64
Total 6,126 0 113 1,718 24 0 641 5 85 0 243 144 9,099
Gateway SOV TNC1 TNC2 HO V TNC3 TNC4 Shuttles MVGO VTA ACE Bike Ped Total San Antonio 42.1% 0.0% 29.2% 30.8% 0.0% 0.0% 64.7% 0.0% 0.0% 0.0% 21.1% 19.5% 40.0% Rengstorff 16.3% 0.0% 14.2% 34.7% 25.0% 0.0% 32.8% 0.0% 29.4% 0.0% 4.3% 13.2% 20.7% Shoreline 41.6% 0.0% 56.6% 34.4% 75.0% 0.0% 2.5% 100.0% 70.6% 0.0% 5.0% 2.6% 36.5% Permanente Creek Trail 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 23.9% 27.8% 1.1% Stevens Creek Trail 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 45.7% 36.9% 1.8% Total 100% 0% 100% 100% 100% 0% 100% 100% 100% 0% 100% 100% 100% Gateway SOV TNC1 TNC2 HO V TNC3 TNC4 Shuttles MVGO VTA ACE Bike Ped Total San Antonio 462 0 5 170 0 0 123 20 0 0 19 9 808
Rengstorff 1,230 0 5 609 0 0 152 0 0 0 17 10 2,023
Shoreline 2,609 0 30 936 8 0 22 24 23 0 12 3 3,667
Permanente Creek Trail 0000000000 5 9 6 4 1 23
Stevens Creek Trail 0000000000 1 41 8 9 2 30
Total 4,301 0 40 1,715 8 0 297 44 23 0 248 175 6,851
Gateway SOV TNC1 TNC2 HO V TNC3 TNC4 Shuttles MVGO VTA ACE Bike Ped Total San Antonio 10.7% 0.0% 12.5% 9.9% 0.0% 0.0% 41.4% 45.5% 0.0% 0.0% 7.5% 5.3% 11.8% Rengstorff 28.6% 0.0% 12.5% 35.5% 0.0% 0.0% 51.2% 0.0% 0.0% 0.0% 6.9% 5.8% 29.5% Shoreline 60.7% 0.0% 75.0% 54.6% 100.0% 0.0% 7.4% 54.5% 100.0% 0.0% 4.8% 1.7% 53.5% Permanente Creek Trail 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 23.8% 36.5% 1.8% Stevens Creek Trail 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 56.9% 50.7% 3.4% Total 100% 0% 100% 100% 100% 0% 100% 100% 100% 0% 100% 100% 100% Table C27: Morning Inbound Peak Period Mode Share Person Volume, By Gateway (Without TNC Driver) Table C28: Morning Inbound Peak Period Mode Share Person Percentage, By Gateway (Without TNC Driver) Table C29: Evening Outbound Peak Period Mode Share Person Volume, By Gateway (Without TNC Driver) Table C30: Evening Outbound Peak Period Mode Share Person Percentage, By Gateway (Without TNC Driver) Table C25: Existing Morning Inbound Peak Period Mode Share for Persons and Vehicles, All Gateways Combined
Table C26: Existing Evening Outbound Peak Period Mode Share for Persons and Vehicles, All Gateways *Transportation network companies (TNC) (e.g., Uber, Lyft, etc.) were observed by vehicle occupancy (1 person, 2 persons, 3 persons, and 4+persons).The driver was not considered a part of the person volume; therefore, TNC1 = 0 persons per vehicle; TNC2 = 1 person per vehicle; TNC3 = 2 persons per vehicle;
and TNC4 = 3 person per vehicle.
** Transportation network companies (TNC) (e.g., Uber, Lyft, etc.) were observed by vehicle occupancy (1 person, 2 persons, 3 persons, and 4+persons). One-person (i.e., driver only) TNC vehicles were included as single occupancy vehicles (SOV), while TNC vehicles with two or more persons were included as
high occupancy vehicles (HOV). The driver was considered a part of the person volume and an average vehicle occupancy for morning peak period and evening peak period was applied to the sum of HOV, TNC2, TNC3, and TNC4. This table shows TNC2 = 2 persons per vehicle; TNC3 = 3 person per vehicle; TNC4 = 4 persons per vehicle; and the HOV person volume is the remainder of the person volume to achieve the average vehicle occupancy for HOV plus HOV TNCs.

Appendix D: Vehicle Classification Counts

Study Name PERMANENTE CREEK TRAIL BT OLD MIDDLEFIELD WAY AND CHARLESTON RD Start Date 2/9/2022
Start Time 7:00 AM
Site Code 6
Direction:

Group Pedestrians Bicycles Pedestrians Bicycles
7:00 AM0144
7:15 AM2251
7:30 AM3113
7:45 AM3072
8:00 AM2118
8:15 AM3276
8:30 AM3137
8:45 AM2356
9:00 AM3156
9:15 AM1025
9:30 AM1302
9:45 AM1223
10:00 AM1024
10:15 AM5156
10:30 AM2113
10:45 AM2031
3:00 PM2020
3:15 PM5282
3:30 PM1123
3:45 PM 10 3 2 3
4:00 PM5233
4:15 PM 2 3 10 2
4:30 PM4481
4:45
PM 10 6 0 0
5:00 PM6855
5:15 PM 6 10 7 5
5:30 PM4963
5:45 PM 9 11 1 2
6:00 PM0432
6:15 PM5361
6:30 PM6210
6:45 PM3501
7:00 PM0300
7:15 PM3210
Southbound Northbound
Study Name STEVENS CREEK TRAIL BT MOFFETT BLVD AND LA AVENIDA ST Start Date 2/9/2022
Start Time 7:00 AM
Site Code 7
Direction:

Group Pedestrians Bicycles Pedestrians Bicycles
7:00 AM1132
7:15 AM3084
7:30 AM8156
7:45 AM5288
8:00 AM 2 3 6 11
8:15 AM 11 5 2 8
8:30 AM 1 3 5 11
8:45 AM 6 3 9 14
9:00 AM 7 4 4 11
9:15 AM 3 3 2 16
9:30 AM6345
9:45 AM 2 5 3 10
10:00 AM3236
10:15 AM2225
10:30 AM5416
10:45 AM1344
3:00 PM 3 14 1 4
3:15 PM 3 12 5 6
3:30 PM 3 14 2 7
3:45 PM3648
4:00 PM5685
4:15 PM9897
4:30 PM 8 14 5 4
4:45 PM 5 11 6 6
5:00 PM 9 12 13 8
5:15 PM 9 11 11 9
5:30 PM 16 18 12 5
5:45 PM 16 15 9 1
6:00 PM9722
6:15 PM3632
6:30
PM2110
6:45 PM0301
7:00 PM0601
7:15 PM0201
Southbound Northbound
Traffic Data Service
San Jose, CA
408-622-4787
[email protected]
LOCATION San Antonio Rd north of Bayshore Pkwy
DATE 2/9/2022
AM

HEAVY BIKES PEDS
1 2 3 4+ Double Standard Small Mvgo VTA ACE 1 2 3 4+
7:00 AM 19 1000000001000100
7:15 AM 22 1100000000000020
7:30 AM 17 1000000000000321
7:45 AM 25 7000000000000010
8:00 AM 33 3000000001000010
8:15 AM 35 4000000000000201
8:30 AM 22 0000000000000201
8:45 AM 23 3100000000100101
9:00 AM 23 7000000000000212
9:15 AM 36 0000000000000000
9:30 AM 24 1000000000000210
9:45 AM 24 4100000000000000
10:00 AM 17 0000000000000000
10:15 AM 29 4100000000000000
10:30 AM 85100000000000311
10:45 AM 20 0100000001000202
PM

HEAVY BIKES PEDS
1 2 3 4+ Double Standard Small Mvgo VTA ACE 1 2 3 4+
3:00 PM 17 7100000000000021
3:15 PM 12 1000000000000010
3:30 PM 15 5000011000000101
3:45 PM 22 3100002000000012
4:00 PM 20 2000011000000000
4:15 PM 18 2100101000100030
4:30 PM 26 2000011000100000
4:45 PM 24 2000102000000002
5:00 PM 45 7000001000000010
5:15 PM 25 2100021000100011
5:30 PM 27 1100102000000020
5:45 PM 21 4000000000000020
6:00 PM 29 2000001000000000
6:15 PM 19 4000001000000020
6:30 PM 12 0000011000000010
6:45 PM 14 2000001000000000
7:00 PM 11 1000000000000000
7:15 PM 60010001000000000

PERSONS PER VEHICLE TRANSIT

PERSONS PER VEHICLE TRANSIT
TNC
TNC
Traffic Data Service
San Jose, CA
408-622-4787
[email protected]
LOCATION Bayshore Pkwy east of San Antonio Rd
DATE 2/9/2022
AM

HEAVY BIKES PEDS
1 2 3 4+ Double Standard Small Mvgo VTA ACE 1 2 3 4+
7:00 AM 12 1001011000000100
7:15 AM 11 1000011000000101
7:30 AM 50003101000100000
7:45 AM 11 3000012000000010
8:00 AM 16 1000110000000000
8:15 AM 21 2101011000000100
8:30 AM 17 3001121000000000
8:45 AM 23 1003002000000710
9:00 AM 34 1002100101200110
9:15 AM 18 1001000000100110
9:30 AM 25 1001002001000210
9:45 AM 21 2001001000100000
10:00 AM 13 1000010000000300
10:15 AM 12 1000002001100200
10:30 AM 10 4000002000000201
10:45 AM 18 1000000000000210
PM

HEAVY BIKES PEDS
1 2 3 4+ Double Standard Small Mvgo VTA ACE 1 2 3 4+
3:00 PM 10 0000000000000010
3:15 PM 10 6000000000000000
3:30 PM 11 1000000000000000
3:45 PM 17 2002000000000000
4:00 PM 16 4003000000000110
4:15 PM 12 0002000000000000
4:30 PM 73005000000000010
4:45 PM 12 6002000001000010
5:00 PM 19 2101100001000001
5:15 PM 21 2001000000100001
5:30 PM 18 1103000000000100
5:45 PM 19 4000000000100010
6:00 PM 15 8000000000000000
6:15 PM 14 1000000001000000
6:30 PM 11 2000000000000010
6:45 PM 93001000000000000
7:00 PM 17 6000000000000000
7:15 PM 92000000000000010

PERSONS PER VEHICLE TRANSIT

PERSONS PER VEHICLE TRANSIT
TNC
TNC
Traffic Data Service
San Jose, CA
408-622-4787
[email protected]
LOCATION Rengstorff Ave southwest of Charleston Rd
DATE 2/9/2022
AM

HEAVY BIKES PEDS
1 2 3 4+ Double Standard Small Mvgo VTA ACE 1 2 3 4+
7:00 AM 44 13 002011000100100
7:15 AM 45 7100010002100110
7:30 AM 47 9111000100100301
7:45 AM 59 20 301010000000000
8:00 AM 61 23 201000102210620
8:15 AM 85 23 101000001100011
8:30 AM 82 27 209000100100220
8:45 AM 121 29 219000001200203
9:00 AM 104 26 514000101200211
9:15 AM 86 18 211000100110313
9:30 AM 98 13 300000100110225
9:45 AM 75 20 000010000200412
10:00 AM 44 17 200000100100502
10:15 AM 54 9200010000100000
10:30 AM 56 8100000000000300
10:45 AM 62 10 210000000100101
PM

HEAVY BIKES PEDS
1 2 3 4+ Double Standard Small Mvgo VTA ACE 1 2 3 4+
3:00 PM 85 12 010000000000011
3:15 PM 78 17 100000100000011
3:30 PM 96 11 300000000000100
3:45 PM 76 12 413000100000200
4:00 PM 92 35 8 3 10 000000000220
4:15 PM 74 17 304000200100012
4:30 PM 76 38 615010100000031
4:45 PM 95 14 202000001000000
5:00 PM 144 20 312000000200052
5:15 PM 140 18 211000000100023
5:30 PM 163 11 510010100000010
5:45 PM 91 8501000000100010
6:00 PM 129 4010000000000021
6:15 PM 84 2000000000000010
6:30 PM 64 4000010000000000
6:45 PM 72 3100000000000000
7:00 PM 138 2000000000000010
7:15 PM 79 1000000000000000

PERSONS PER VEHICLE TRANSIT

PERSONS PER VEHICLE TRANSIT
TNC
TNC
Traffic Data Service
San Jose, CA
408-622-4787
[email protected]
LOCATION Shoreline Blvd north of La Avenida
DATE 2/9/2022
AM

HEAVY BIKES PEDS
1 2 3 4+ Double Standard Small Mvgo VTA ACE 1 2 3 4+
7:00 AM 186 12 000002101000200
7:15 AM 182 12 211002100100000
7:30 AM 193 29 000000103410100
7:45 AM 206 29 400002013900311
8:00 AM 268 20 201000101820220
8:15 AM 288 17 510002001810011
8:30 AM 237 27 421000401810110
8:45 AM 239 22 100002110710100
9:00 AM 262 20 210002602530120
9:15 AM 258 18 100000000400020
9:30 AM 233 20 200002310610010
9:45 AM 210 23 200000000200230
10:00 AM 151 19 100001102300002
10:15 AM 183 25 000002100500200
10:30 AM 148 16 100000101310100
10:45 AM 173 17 000000002000100
PM

HEAVY BIKES PEDS
1 2 3 4+ Double Standard Small Mvgo VTA ACE 1 2 3 4+
3:00 PM 174 22 100001010200000
3:15 PM 179 12 000000100200000
3:30 PM 198 19 200001000100210
3:45 PM 122 23 100002101200000
4:00 PM 142 24 000001010200210
4:15 PM 155 25 210001000100001
4:30 PM 171 16 302002100000000
4:45 PM 176 21 200002100400000
5:00 PM 211 45 490001010410010
5:15 PM 213 42 230010100210010
5:30 PM 200 28 410002102210140
5:45 PM 141 34 310002001100020
6:00 PM 171 22 100000110000110
6:15 PM 159 17 000001000100010
6:30 PM 121 12 000002100000030
6:45 PM 86 14 000000001000020
7:00 PM 90 15 000003001000000
7:15 PM 75 11 000000100100000

PERSONS PER VEHICLE TRANSIT

PERSONS PER VEHICLE TRANSIT
TNC
TNC
Traffic Data Service
San Jose, CA
408-622-4787
[email protected]
LOCATION La Avenida east of Shoreline Blvd
DATE 2/10/2022
PM

HEAVY BIKES PEDS
1 2 3 4+ Double Standard Small Mvgo VTA ACE 1 2 3 4+
3:00 PM 54 8000000300100000
3:15 PM 39 4010000200200100
3:30 PM 36 4010010200000100
3:45 PM 24 6000000400000001
4:00 PM 63 7000010000000011
4:15 PM 32 1001000000000110
4:30 PM 45 5001010000000000
4:45 PM 43 4100000000110000
5:00 PM 66 8100000000000000
5:15 PM 45 4110000000200000
5:30 PM 45 4100000001100100
5:45 PM 48 7300000000000100
6:00 PM 57 5000000100000001
6:15 PM 43 4000000000000100
6:30 PM 28 1000000000000000
6:45 PM 25 2100000100100000
7:00 PM 29 2000000000100000
7:15 PM 19 1000000000000010

PERSONS PER VEHICLE TRANSIT TNC

Appendix E: North Bayshore Precise Plan –
Vehicle Gateway Capacity

160 W Santa Clara Street | Suite 675 | San Jose, CA 95113 | (408) 278-1700 | Fax (408) 278-1717 www.fehrandpeers.com

MEMORANDUM

Date: July 2, 2014
To:

Matt Raimi and Eric Yurkovich, Raimi + Associates
Martin Alkire, City of Mountain View
Judy Fenerty and John Schwarz, David J. Powers & Associates Jim Lightbody, AECOM
From: Daniel Rubins and Julie Morgan
Subject: North Bayshore Precise Plan EIR – Establishing Vehicle Gateway Capacity and Sensitivity Tests on Accommodating New Growth
SJ13-1450
This memorandum summarizes the vehicle capacity at the gateways to the North Bayshore area as well as sensitivity tests related to accommodating new growth in that area. The North Bayshore area is bounded by US Route 101 to the south, Stevens Creek to the east (including Santiago Villa Mobile Home Park) , San Francisco Bay and the Shoreline Recreation area to the north, and San Antonio Road to the west.

Observations of traffic flow were conducted at the five roadway segments listed below; in combination, these roadway segments carry all of the traffic tha t flows into or out of the North Bayshore area.

1. San Antonio Road between Bayshore Parkway and Casey Avenue

2. Bayshore Parkway between San Antonio Road and Garcia Avenue

3. Rengstorff Avenue between US 101 Northbound Ramps and Garcia Avenue -Charleston Road

4. Shoreline Boulevard between US 101 Northbound Ramps-La Avenida and Pear Avenue

5. La Avenida between Shoreline Boulevard and Inigo Way Understanding the vehicle capacity constraints that exist along these roadways will help define the number of peak hour vehicle trips that can be accommodated into and out of North Bayshore.

Several sensitivity tests were also conducted to determine the order -of-magnitude effectiveness Matt Raimi, Eric Yurkovich, Martin Alkire, Judy Fenerty, John Schwarz, and Jim Lightbody
July 2, 2014

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of a variety of transportation and planning strategies that would be needed to accommodate the future travel demand expected from the projected growth in the North Bayshore area. This gateway capacity analysis and sensitivity tests will assist the project team in defining the range of potential land use and employment that could be accommodated in the North Bayshore area.

METHODS
The vehicle gateway capacity estimates 1 are based on existing street configurations and observed vehicle demand during the morning peak hour and evening peak hour. The peak period estimates are based on the ratio between existing peak period and peak hour counts for Shoreline Boulevard and across the gateways . T hese vehicle capacity estimates ref ine the planning level capacity estimates prepared during the City of Mountain View Shoreline Transportation Study (June 2013).

Shoreline Boulevard: Peak Hour Vehicle Saturation Flow Rate For Shoreline Boulevard, t he saturation flow rate s were directly observed; the level of existing peak hour congestion means that this gateway is already operating at capacity . The vehicle saturation flow rate is defined as the maximum rate of vehicle traffic per lane per hour under ideal conditions (dry weather, few large vehicles, wide travel lanes, flat grade, etc.). I n order to determine the saturation flow rate at the Shoreline Boulevard gateway, field observations were collected for four movements at two intersections:
• Shoreline Boulevard and US 101 Northbound Ramps-La Avenida o Northbound through movement (on Shoreline Boulevard)
o Westbound right turn (US 101 Northbound off-ramp to Shoreline Boulevard) • Shoreline Boulevard and Pear Avenue
o Northbound through movement (on Shoreline Boulevard)
o Northbound through-right turn movement (on Shoreline Boulevard) The capacity for inbound trips during the morning peak hour capacity is defined by the number of vehicles that can use Shoreline Boulevard just north of US 101 (between La Avenida and Pear

1 Vehicle gateway capacity is the maximum number of vehicles that can be served in a peak hour or peak period while maintaining freedom of vehicle movement through the gateways.

Matt Raimi, Eric Yurkovich, Martin Alkire, Judy Fenerty, John Schwarz, and Jim Lightbody
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Avenue). The evening peak hour outbound flow is constrained by the operations of th e Shoreline Boulevard and US 101 northbound ramps-La Avenida intersection.

Other Locations: Peak Hour Vehicle Capacity
The Rengstorff Avenue, San Antonio Road and Bayshore Parkway gateway locations are less congested than Shoreline Boulevard; thus, field observations and intersection operations sensitivity analysis were completed to determine the capacity at these locations by estimating the point at which future queuing would spill out of the existing storage pockets at two intersections:
• San Antonio Road and Bayshore Parkway intersection (controls the Bayshore and San Antonio gateways).
• Rengstorff Avenue -Amphitheatre Parkway and Garcia Avenue -Charleston Road intersection (controls the Rengstorff Avenue gateway).

Because vehicle queuing directly affects gateway capacity, the capacity was estimated by incrementally increasing the intersection vehicle volumes 2 until the 95 th percentile queues began to exceed the existing storage pockets (generally to the US 101 Northbound Ramps). The overall intersection delay was also considered; however, given the directional nature of North Bayshore area traffic, we found that relying on average intersection delay did not capture the weaving and queuing delay entering the North Bayshore area during the morning and leaving during the evening. The queuing sensitivity results with the Year 2030 Cumulative with Project Conditions forecasts from the North Bayshore Precise Plan Transportation Impact Analysis report for key turn movements are shown in Table 1 for the morning peak hour and Table 2 for the evening peak hour.

A review of the City of Mountain View Travel Demand Forecasting Model 3 under Year 2030 conditions confirms that the directional travel patterns of inbound in the morning and outbound in the evening are expected to persist into the future, and that the majority of vehicle growth is

2 Vehicle counts and intersection operations from the technical memorandum North Bayshore Precise Plan:

Existing Transportation Conditions (Fehr & Peers, August 2012) were used for this analysis. 3 A description of the model, trip adjustments for land use strategies, trip adjustments for transportation demand management (TDM) strategies, and planned roadway system improvements are discussed in the Transportation and Circulation section of the City of Mountain View 2030 General Plan and Greenhouse Gas Reduction Program Environmental Impact Report.

Matt Raimi, Eric Yurkovich, Martin Alkire, Judy Fenerty, John Schwarz, and Jim Lightbody
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expected to occur at San Antonio Road, Bayshore Parkway, and Rengstorff Avenue (because there is very little available capacity at Shoreline Boulevard).

PEAK HOUR VEHICLE CAPACITY RESULTS
Under Existing Conditions , Shoreline Boulevard is at capacity during the morning and evening peak hours. When considering all of the North Baysho re Area gateway points together, we find that the combined volume could increase by approximately 15 percent during the morning and evening peak hour s before reaching capacity . The San Antonio Road, Bayshore Parkway and Rengstorff Avenue entry/exit point s will likely see the greatest increase in vehicle traffic because that is where the available capacity exists; the Shoreline Boulevard/La Avenida entry/exit points will not be able to accommodate much additional traffic because of existing capacity constraints.

Table 3 shows the existing (as of February 2014) morning and evening peak hour volumes and the peak hour vehicle capacities for all of th e North Bayshore area gateways combined. Table 4 shows the capacities for each gateway separately.

The North Bayshore area traffic is predominantly inbound in the morning and outbound in the evening. These vehicle capacity estimates account for the highly directional flow of traffic and maintain a similar level of peak direction to non -peak directional flow. The close spacing of the local streets (La Avenida , Bayshore Parkway, and Garcia Avenue -Charleston Road) to the US 101 interchange ramps limits existing and future vehicle storage.

The combined total capacity of all the gateways is calculated as:
• Morning Peak Hour = 8,100 peak hour vehicles
• Evening Peak Hour = 7,940 peak hour vehicles

PEAK PERIOD VEHICLE CAPACITY RESULTS
Table 5 shows the existing relationship between the peak hour and the peak period for Shoreline Boulevard separately, and across all gateways combined . Based on observations, t he Shoreline Boulevard gateway is at capacity and experiences conditions where vehicle demand is equal to or exceeds capacity for 2 ½ hours to three hours each morning . The factor calculated from t he counts is 2.7; that means that the total volume at Shoreline Boulevard across the three -hour peak period is 2.7 times the volume in the single peak hour. This factor is higher at Shoreline Boulevard Matt Raimi, Eric Yurkovich, Martin Alkire, Judy Fenerty, John Schwarz, and Jim Lightbody
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in the peak direction (inbound during the morning and outbound during the evening) than at the other North Bayshore gateways, because Shoreline is the gateway that experiences the most sustained level of demand over multiple hours. This factor of 2.7 has then been applied to all of the gateways combined to es timate the maximum peak period capacity ; this result therefore reflects the total peak period capacity if all of the gateways were as fully -utilized as Shoreline Boulevard is today. The results for all gateways combined are shown in Table 6, while Table 7 shows the peak period vehicle capacities for each gateway individually.

SENSITIVITY TESTS FOR ACCOMMODATING FUTURE GROWTH
Typically the evaluation of a land use project begins by estimating its trip generation using an independent land use variable such as building size or number of employees. The surrounding transportation network is then sized to accommodate the estimated vehicle demand resulting from the trip generation calculations . This approach may not account for changes in mode split that could be achieved with an extensive TDM progra m, or the effects of a constrained roadway network on local travel choices . In order to understand the interrelated effects of the proposed land use program in North Bayshore and the vehicle capacity constraints on the access points into the area, we conducted several sensitivity tests with different planning and transportation strategies to determine how the future growth could be accommodated. The tests focused on the morning period, because that is the time when travelers typically decide which mode of travel to use for that day.

The purpose of a vehicular trip generation estimate is to determine the number of new vehicle trips entering and exiting the North Bayshore Area for various purposes ( e.g., employee trips, visitor trips, and shopping trips) during a selected time period. The proposed project includes approximately 3 ,400,000 square feet of office and R&D space with supporting land uses (see Tables 8 and 9 for more details on land use allocation).

Future Demand with Existing Travel Characteristics
If the current travel characteristics of North Bayshore tenants remain the same and the effectiveness of current TDM programs in the area remains constant, 4 we estimate that the

4 Vehicle trip rates summarized in North Bayshore Precise Plan EIR – Establishing Existing Travel Characteristics for North Bayshore (March 2014).

Matt Raimi, Eric Yurkovich, Martin Alkire, Judy Fenerty, John Schwarz, and Jim Lightbody
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proposed project would generate between 10,4 30 and 11, 200 vehicle trips during the morning peak hour, and 9,840 and 10,580 vehicle trips during the evening peak hour. Please refer to Table 10 for a summary of the vehicle trip estimates based on building size and employee s. This level of traffic demand would exceed the available vehicular capacity at the North Bayshore gateways that was described in the previous section (i.e., 8,100 vehicles in the morning and 7,940 vehicles in the evening).

Gateway Capacity Improvements
Per the City’s policy direction, the environmental analysis assumes no major infrastructure projects that would add significant roadway capacity for automobiles. There may be opportunities to construct a few localized improvements at certain gateway intersections that could marginally improve intersection operations and increase the gateway vehicle capacity. Examples of t hese types of improvements would include extending turn pockets to provide more storage for turning vehicles, re-aligning the US 101 off-ramp at Shoreline Boulevard , and/or HOV/transit queue jump lanes. The transportation analysis for the environmental impact analysis report will identify what localized improvements, if any, would be feasible and beneficial as mitigations. For the purposes of the sensitivity tests described here, we have made a basic assumption that localized improvements could achieve a 5 percent increase in vehicle capacity , which would allow an additional 400 morning peak hour vehicles to be accommodated.

City of Mountain View TDM Policies
The Mountain View 2030 General Plan (July 2012) includes policies to develop, adopt and monitor transportation demand management strategies for land development project in North Bayshore area. These polices include:
• POLICY LUD 17.2: Transportation Demand Management strategies. Require devel opments to include and implement Transportation Demand Management (TDM) strategies. • POLICY MOB 10.2: Reduced travel demand. Promote effective TDM programs for existing and new development.

Upon completion of the Mountain View 2030 General Plan , City staff initiated the Shoreline Regional Park Community Transportation Study (2013) to identify:

Matt Raimi, Eric Yurkovich, Martin Alkire, Judy Fenerty, John Schwarz, and Jim Lightbody
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• long-term transportation infrastructure (local streets, freeway interchange improvements, transit lanes, dedicated bicycle facilities);
• transportation demand management (employer incentive programs); • parking management and supply strategies; and
• implementation of a transportation management association (TMA) responsible for implementing a shuttle program.

A 45 percent single occupancy (drive -alone) mode choice goal was identified as a potential North Bayshore performance measure. As described in the North Bayshore Precise Plan EIR – Establishing Travel Characteristics for North Bayshore (April 2014) the percentage of people who drive alone currently ranges between 50 percent and 63 percent, depending on the time period; the lowest drive-alone rate occurs during the morning peak hour.

In order to achieve a 45 percent SOV rate, people traveling to and from the North Bayshore area would need to use a variety of other modes. For example, the proposed project is estimated to generate up to approximately 6,800 peak hour transit passengers inbound during the morning peak hour. The addition of passengers from the project will increase demand on the private shuttle and public transit systems . In addition, some current drive -alone users would switch to carpooling and some carpool vehicles would add more occupants ; thus, the proposed project is estimated to generate approximately 4,300 carpoolers inbound during the morning peak hour.

Sensitivity Test Results
Several sensitivity tests were conducted to determine how the proposed Precise Plan land use program could be accommodated within the available gateway capacities. Sensitivity tests looked at the effectiveness of TDM programs, the potential for spreading the vehicle demand over all gateways and over multiple hours, and the effects of making localized improvements to marginally increase vehicle capacity. The sensitivity results are shown in Table 11. These results indicate that the full project (an additional 3.4 million square feet) could be accommodated within the available gateway capacities under the following conditions:
• All of the gateways were fully utilized for all three hours of the morning peak period . • Operational improvements at the gateways were implemented such that vehicle capacity was increased by at least 5 percent.
• The entire North Bayshore area were to achieve the 45 percent SOV goal.

Matt Raimi, Eric Yurkovich, Martin Alkire, Judy Fenerty, John Schwarz, and Jim Lightbody
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A combination of transportation management association, City and regional funding sources would be needed to implement area -wide transportation infrastructure and the robust TDM programs that would be needed to achieve the City’s goals. The North Bayshore precise plan is expected to provide additional detail regarding the transportation system and programs needed to implement the community vision expressed by members of the public and City Council.

ATTACHMENTS
Tables
Table 1: Intersection Sensitivity Results: Morning Peak Hour Table 2: Intersection Sensitivity Results: Evening Peak Hour Table 3: Peak Hour Vehicle Counts and Capacity: All Gateways Combined Table 4: Peak Hour Vehicle Capacity by Gateway
Table 5: Peak Period to Peak Hour Ratios
Table 6: Peak Period Vehicle Count and Capacity: All Gateways Combined Table 7: Peak Period Vehicle Capacity by Gateway
Table 8: Land Use in the North Bayshore Area: Occupied Building Size Table 9: Land Use in the North Bayshore Area: Employee and Population Estimates Table 10: Trip Generation Estimates: Existing Travel Behavior Table 11: Sensitivity Test Results
TABLES

TABLE 1 INTERSECTION SENSITIVITY RESULTS: MORNING PEAK HOUR Movement Volume1 Average
Delay2 LOS3
Storage
Pocket
(feet)
Queue
Length
(feet)
San Antonio Road and Bayshore Parkway4
Eastbound Left-Through 530 167.7 F 70 1100+
Eastbound Right 260 21.6 C 70 230+
Northbound Left Turn 340 34.9 C 300 340
Northbound Through 300 18.5 B 300 230
Northbound Right Turn 530 17.8 B 150 60
Rengstorff Avenue-Amphitheatre Parkway and Garcia Avenue-Charleston Road5 Northbound Left Turn 600 39.9 D 200 875
Northbound Through 1,570 38.2 D 400 1,100
Northbound Right Turn 790 70.9 E 400 1,375
Notes:

1. Vehicle volume based on intersection forecasts under Year 2030 Cumulative with Project Conditions within the North Bayshore Precise Plan TIA.

2. Lane group control delay expressed in seconds per vehicle calculated using methods described in the 2000 Highway Capacity Manual.

3. LOS = Level of Service. LOS calculations conducted using the Synchro analysis software package, which apply the methods described in the 2000 Highway Capacity Manual.

4. San Antonio Road is two lanes for 620 feet between US 101 northbound loop ramp and Bayshore Parkway. Nearest upstream intersection (San Antonio Road and US 101 Northbound off-ramp allows 300 feet of storage between intersections equal to left turn and through storage distances.

5. Nearest upstream intersection (Rengstorff Avenue and US 101 Northbound off-ramp allows 400 feet of weaving between intersections equal to through and right-turn storage distances.

6. Queue lengths rounded to nearest 10 feet.

Source: Fehr & Peers, July 2014.

TABLE 2 INTERSECTION SENSITIVITY RESULTS: EVENING PEAK HOUR Movement Volume1 Average
Delay2 LOS3
Storage
Pocket
(feet)
Queue
Length
(feet)
San Antonio Road and Bayshore Parkway4
Westbound Left Turn 480 >180 F 80 740+
Westbound Through-Right 370 87.1 F 80 550+
Southbound Left Turn 10 112.0 F 90 30
Southbound Through Right 350 38.7 D 90 240
Rengstorff Avenue-Amphitheatre Parkway and Garcia Avenue-Charleston Road5 Westbound Left Turn 650 55.9 E 190 700
Southbound Through 870 48.5 D 190 725
Eastbound Right Turn 570 45.0 D 400 950
Notes:

1. Vehicle volume based on intersection forecasts under Year 2030 Cumulative with Project Conditions within the North Bayshore Precise Plan TIA.

2. Lane group control delay expressed in seconds per vehicle calculated using methods described in the 2000 Highway Capacity Manual.

3. LOS = Level of Service. LOS calculations conducted using the Synchro analysis software package, which apply the methods described in the 2000 Highway Capacity Manual.

5. Nearest upstream intersection (Rengstorff Avenue and US 101 Northbound off-ramp allows 400 feet of weaving between intersections equal to through and right-turn storage distances.

6. Queue lengths rounded to nearest 10 feet.

Source: Fehr & Peers, July 2014.

TABLE 3 PEAK HOUR VEHICLE COUNTS AND CAPACITY: ALL GATEWAYS COMBINED Gateway
Morning Peak Hour Evening Peak Hour
Inbound Outbound Total Inbound Outbound Total
Existing Counts (2014) 6,100 990 7,090 1,430 5,260 6,690 Existing Gateway Capacity 6,980 1,120 8,100 1,780 6,160 7,940 Percent Difference between Capacity
and Counts +14.4% +13.1% +14.2% +24.5% +17.1% +18.7%
Notes:

1. Peak hour volumes rounded to nearest 10 vehicles. Morning peak hour is from 8:45 AM to 9:45 AM and the evening peak hour is from 5:15 PM to 6:15 PM.

Source: Fehr & Peers, July 2014.

TABLE 4 PEAK HOUR VEHICLE CAPACITY BY GATEWAY
Gateway
Morning Peak Hour Evening Peak Hour
Inbound Outbound Total Inbound Outbound Total

1. San Antonio Rd between
Bayshore Prkwy and Casey Ave 460 70 530 150 480 630

2. Bayshore Prkwy between San
Antonio Rd and Garcia Ave 1,070 100 1,170 250 860 1,110

3. Rengstorff Ave between US 101
Northbound Ramps and Garcia
Ave-Charleston Rd
2,960 330 3,290 350 2,090 2,440

4. Shoreline Blvd. between US 101
Northbound Ramps-La Avenida
and Pear Ave
2,490 470 2,960 1,030 2,250 3,280

5. La Avenida between Shoreline
Blvd and Inigo Wy N/A 150 150 N/A 480 480
Total 6,980 1,120 8,100 1,780 6,160 7,940
Notes:

1. Peak hour volumes rounded to nearest 10 vehicles. Morning peak hour is from 8:45 AM to 9:45 AM and the evening peak hour is from 5:15 PM to 6:15 PM.

Source: Fehr & Peers, July 2014.

TABLE 5 PEAK PERIOD TO PEAK HOUR RATIOS
Gateway
Morning Evening
Inbound Outbound Total Inbound Outbound Total
Shoreline Boulevard between US 101 Northbound Ramps-La Avenida and Pear Avenue Peak Period 6,650 1,250 7,900 2,460 5,760 8,220
Peak Hour 2,430 470 2,900 860 2,120 2,980
Perk Period to Peak Hour Ratio 2.73 2.65 2.72 2.87 2.71 2.76 All Gateways Combined
Peak Period 13,940 2,750 16,690 4,250 13,470 17,720
Peak Hour 6,100 990 7,090 1,430 5,260 6,690
Perk Period to Peak Hour Ratio 2.29 2.78 2.35 2.97 2.56 2.65 Notes:

1. Rounded to nearest 10 vehicles. Morning peak period is from 7:00 AM to 10:00 AM and the evening peak period is from 4:00 PM to 7:00 PM. Morning peak hour is from 8:45 AM to 9:45 AM and the evening peak hour is from 5:15 PM to 6:15 PM.

Source: Fehr & Peers, July 2014.

TABLE 6 PEAK PERIOD VEHICLE COUNTS AND CAPACITY: ALL GATEWAYS COMBINED Gateway
Morning Peak Hour Evening Peak Hour
Inbound Outbound Total Inbound Outbound Total
Existing Counts (2014) 13,940 2,750 16,690 4,250 13,470 17,720 Existing Gateway Capacity 18,850 3,020 21,870 4,810 16,630 21,440 Percent Difference between Capacity
and Counts +35.2% +9.8% +30.6% +13.2% +23.5% +21.0%
Notes:

1. Peak period volumes rounded to nearest 10 vehicles. Morning peak period is from 7:00 AM to 10:00 AM and the evening peak period is from 4:00 PM to 7:00 PM.

Source: Fehr & Peers, July 2014.

TABLE 7 PEAK PERIOD VEHICLE CAPACITY BY GATEWAY
Gateway
Morning Peak Period Evening Peak Period
Inbound Outbound Total Inbound Outbound Total

1. San Antonio Rd between
Bayshore Prkwy and Casey Ave 1,240 190 1,430 410 1,300 1,710

2. Bayshore Prkwy between San
Antonio Rd and Garcia Ave 2,900 270 3,170 690 2,320 3,010

3. Rengstorff Ave between US 101
Northbound Ramps and Garcia
Ave-Charleston Rd
7,990 880 8,870 950 5,630 6,580

4. Shoreline Blvd. between US 101
Northbound Ramps-La Avenida
and Pear Ave
6,720 1,260 7,980 2,780 6,070 8,850

5. La Avenida between Shoreline
Blvd and Inigo Wy N/A 420 420 N/A 1,310 1,310
Total 18,850 3,020 21,870 4,810 16,630 21,440
Notes:

1. Peak period volumes rounded to nearest 10 vehicles. Morning peak period is from 7:00 AM to 10:00 AM and the evening peak period is from 4:00 PM to 7:00 PM.

Source: Fehr & Peers, July 2014.

TABLE 8
LAND USE IN THE NORTH BAYSHORE AREA: OCCUPIED BUILDING SIZE Land Use Units
General Plan
Existing 2030 General
Plan
2030 North
Bayshore
Precise Plan
Single Family Dwelling Units 3 1 1
Multi-Family Dwelling Units 348 344 344
Subtotal (Residential) [A] Dwelling Units 351 345 345
Office Square Feet 265,464 4,674,674 3,931,569
Research & Development Square Feet 6,026,591 4,820,170 5,671,855 Subtotal (Office and R&D) [B] Square Feet 6,292,055 9,494,844 9,603,424 Retail Square Feet 0 153,697 68,425
Industrial Square Feet 335,904 189,584 153,575
Restaurant Square Feet 10,282 10,282 10,282
Service Commercial Square Feet 128,978 99,276 114,574
Subtotal (Supporting Uses) [C] Square Feet 475,164 452,839 346,856 Motel Rooms 0 293 290
Church Building 1 1 1
Institutional/Recreation Trips 7,400 7,257 8,257
Subtotal (Other Uses) (Various) (Various) (Various) (Various) Total Residential [A] Dwelling Units 351 345 345
Total Employment Uses [B+C] Square Feet 6,767,219 9,947,683 9,950,280 Notes:

1. Land use summarized from the City of Mountain View Travel Demand Model traffic analysis zones (TAZs) 3126-3133. “Occupied” building square footage accounts for a 7 percent vacancy rate off the total building square footage. The total building square footage is: Existing Conditions = 7,276,578 square feet, Year 2030 General Plan = 10,696,434 square feet, and 2030 North Bayshore Precise Plan = 10,699,226 square feet.

Source: City of Mountain View Travel Model. July 2014.

TABLE 9
LAND USE IN THE NORTH BAYSHORE AREA: EMPLOYEE AND POPULATION ESTIMATES Land Use Units
General Plan
Existing 2030 General
Plan
2030 North
Bayshore
Precise Plan
Project
Single Family Population 8 2 2
Multi-Family Population 749 722 722
Subtotal (Residential) [A] Population 757 724 724
Office Employees 1,061 14,164 15,726
Research & Development Employees 21,093 12,050 19,851
Subtotal (Office and R&D) [B] Employees 22,154 26,214 35,577 Retail Employees 0 410 183
Industrial Employees 400 228 184
Restaurant Employees 68 67 67
Service Commercial Employees 387 298 344
Subtotal (Supporting Uses) [C] Employees 855 1,003 778
Motel Employees 0 117 116
Church Employees 10 10 10
Institutional/Recreation Employees 740 726 826
Subtotal (Other Uses) Employees (Various) (Various) (Various) Total Residential [A] Dwelling Units 757 724 724
Total Employment Uses [B+C] Employees 23,009 27,217 36,355 Notes:

1. Land use summarized from the City of Mountain View Travel Demand Model traffic analysis zones (TAZs) 3126-3133.

2. For Existing and 2030 General Plan, the assumed densities for Office and R&D land uses are 3.03 and 2.50 employees per 1,000 square feet, respectively.

3. For 2030 Precise Plan project, the assumed densities for Office and R&D land uses are 4.00 and 3.5 employees per 1,000 square feet, respectively.

4. For informational purposes, if there were a zero vacancy rate and employee estimates would include : Existing Conditions = 24,744 employees, Year 2030 General Plan = 26,266 employees, and 2030 North Bayshore Precise Plan = 39,092 employees.

Source: City of Mountain View Travel Model. July 2014.

TABLE 10 TRIP GENERATION ESTIMATES: EXISTING TRAVEL BEHAVIOR North Bayshore Land Use
Morning Peak Hour Trips Evening Peak Hour Trips
Inbound Outbound Total Inbound Outbound Total
Future Demand with Existing Trip
Making (9,950,280 s.f.) 8,970 1,460 10,430 2,070 7,770 9,840 Future Demand with Increased
Employee Density and Existing TDM
Program (~36,360 employees)
9,630 1,570 11,200 2,220 8,360 10,580
Notes:

1. Trip generation estimates based on existing travel surveys based on building size, and employee density.

Source: Fehr & Peers, July 2014.

TABLE 11 SENSITIVITY TEST RESULTS
Sensitivity Test
Additional
Building Area
Accommodated
(square feet)
Total Building
Size
(square feet)
Total Employees
Peak Hour

1. Existing gateway capacity and existing
TDM effectiveness. +957,000 8,233,600 26,000

2. Existing gateway capacity with increased
vehicle occupancy (meeting 45% SOV
goal).
+1,625,900 8,902,500 30,300

3. Localized improvements at gateways and
existing TDM effectiveness. +1,397,800 8,674,400 27,400

4. Localized improvements at gateways with
increased vehicle occupancy (meeting 45%
SOV goal).
+2,102,600 9,379,200 31,900
Peak Period

5. Existing gateway capacity and existing
TDM effectiveness. +957,000 8,233,600 26,000

6. Existing gateway capacity with increased
vehicle occupancy (meeting 45% SOV
goal).
+2,943,700 10,220,300 34,700

7. Localized improvements at gateways and
existing TDM effectiveness. +1,397,800 8,674,400 27,400

8. Localized improvements at gateways with
increased vehicle occupancy (meeting 45%
SOV goal).
+3,422,600 10,699,200 36,400
Notes: Land use summary of within North Bayshore Area (City of Mountain View Travel Demand Model traffic analysis zones (TAZs) 3126-3133) except motel, church, and institutional recreation.

Source: Fehr & Peers, July 2014.

Appendix F: COVID Period Travel Pattern
Memorandum

PANDEMIC TRAVEL PATTERNS

AND POST-PANDEMIC

OPPORTUNITIES

RIA HUTABARAT LO, TRANSPORTATION MANAGER
DECEMBER 1, 2021
1 WHAT WE WILL COVER
How have travel patterns changed
during the pandemic?
What are opportunities to create more
sustainable travel patterns?
2 PANDEMIC TRAVEL PATTERNS
3 VEHICLE TRAFFIC DECREASEDIN 2020 AND
HAS NOW REBOUNDEDTO 90 - 95%
4 100%
51%
78%
87% 90%
80% 77%
91% 95%
35%
77%
83%
73% 76% 74%
87%
94%
0%
20%
40%
60%
80%
100%
120%
Bay Bridge Vehicle Volumes
Other State Bridge Vehicle Volumes
Vehicle Traffic Volumes Relative to January 2020, Bay Area Vehicle Traffic Volumes Relative to 2019, US 101 Northbound

PUBLIC TRANSIT USAGE DROPPEDFURTHER AND
HAS REBOUNDEDTO ONLY20 – 50%
5 Public Transit Ridership Relative to January 2020
6% 11% 12% 14% 12% 12% 15% 20%
100%
25% 28% 31% 34% 31% 35% 38% 36% 40%
52%
2% 4% 5% 6% 5% 5% 7% 11% 14%
18%
100%
15% 19% 20% 25% 22% 23% 27% 31% 38% 42%
49%
0%
20%
40%
60%
80%
100%
120%
Jan-19
Feb-19
Mar-19
Apr-19
May-19
Jun-19
Jul-19
Aug-19
Sep-19
Oct-19
Nov-19
Dec-19
Jan-20
Feb-20
Mar-20
Apr-20
May-20
Jun-20
Jul-20
Aug-20
Sep-20
Oct-20
Nov-20
Dec-20
Jan-21
Feb-21
Mar-21
Apr-21
May-21
Jun-21
Jul-21
Aug-21
Sep-21
Oct-21
Nov-21
BART
VTA
Caltrain
MVCS

ONGOING TRANSIT HESITANCYMEANS WE ARE USING

MORE SPACE TO MOVE LESS PEOPLE IN THE BAY AREA
6 Space Needed for 200 Travelers
to Pass a Stop Line in 2 Seconds
(PTV Group)

ACTIVE TRANSPORTATION INCREASED DURING THE

PANDEMIC AND MAY CONTINUE
7 3% 3% 3%4% 4% 4% 6% 4% 14%
64% 54%
72% 79% 85%
45%
20%
25%
16%
15% 10%
41%
9% 14% 5%
0%
20%
40%
60%
80%
100%
Walker Former Not
Regular
Walker
Former
Regular
Walker
Cyclist Former Not
Regular
Cyclist
Former
Regular
Cyclist
Much less
Less / Somewhat
less
About the same
More /
Somewhat more
Much more
Expected Participation in Active Transportation Post-Pandemic

MOST TECH WORKERS HAVE NOT YET RETURNED
TO THE OFFICE BUT PLAN TO IN 2022
8 Employer Return to Office Hybrid Work Plan
Google / Alphabet January 10, 2022 Work in office 3 days / week; Up to 20% work fully remote
Intuit January 18, 2022 Work in office 2 - 3 days / week; 14% prefer fully remote work
El Camino Hospital N/A N/A
LinkedIn / Microsoft No date Hybrid work plan may allow fully remote work

HOT DESK CONFIGURATIONS ALLOW WORKFORCE

INCREASE FOR SAME NUMBER OF COMMUTERS
9 (Cayce Clifford)

INDUCED TRAVELDEMAND RESULTS

FROM IMPROVED PANDEMIC TRAVEL CONDITIONS
10 Immediate-Term
• Travel in the peak
hour
• Drive alone
instead of
carpooling or
taking transit
• Select the most
direct route
Near-Term
• Travel further for
work and other
trips
• Run errands with
many separate
trips
• Add new trips
Long-Term
• Move further from
transit and the Bay
Area
• Purchase a second
or third car
• Relocate business
to a more remote
area

INCREASED MEGA-COMMUTING

IS LIKELY TO INCREASE ENVIRONMENTAL IMPACTS
11 Other impacts:
• Stormwater runoff
• Water pollution
• Soil erosion
• Resource consumption
• Solid waste generation
• Habitat loss
• Loss of agricultural land
• Vulnerability to extreme
weather events

SUMMARY OF EFFECTS
Trip
reducers
Trip
increasers
12 Most tech workers
have not yet
returned
to the
office

CITY EFFORTS AND

OPPORTUNITIES
13 CURRENT AND ONGOING EFFORTS
• City of Mountain View General Plan (inc. Hou sing Element) • City of Mountain View Transportation Plans (inc. AT P) • Affordable Housing Programs
• Multimodal Tr ansportation Infrastructure via CIPs & repaving • Safe Routes to School Program
• TDM and Infrastructure Requirements Imposed in Entitlement • Collaboration with Mountain View TMA
• Mountain View Community Shuttle
• TDM Analyst  Monit oring & explore voluntary program 14 POTENTIAL OPPORTUNITIES
• Augment transit agency outreach to encourage transit, carpool and vanpool ridership
• Advocate for expanded VTA tra nsit services in Mountain View • Develop strategies and funding options to expand Commu nity Shuttle services
• Increase partnership with the MTMA to explore funding sou rces and broader delivery of TDM programs
• Develop or facilitate micro-mob ility programs e.g. e-scooter share
15 RECOMMENDATION
Review and provide input on pandemic
travel patterns and post-pa ndemic
opportunities
16 Appendix G: Return to Office Vehicle
Trip Estimate
Daily AM In AM Out AM Total PM In PM Out PM Total Existing Residential Trips (363 DUs) 2,726 41 154 195 145 87 232 Additional Residential Trips (0,000 D U s ) 00 000 00
Existing Non‐Residential Trips (24,902 Employees) 101,850 11,049 1,581 12,630 1,934 9,401 11,335 Additional Non‐Residential Trips (0,000 Employees) 0 0 0 0 0 0 0 Total Person Trips 104,576 11,090 1,735 12,825 2,079 9,488 11,567 Internal Trips Percentage (Daily: 5.0%, AM: 8.0%, PM: 9.9%) Residential (Daily: 21.2%, AM: 49.1%, PM: 33.9%) 578 20 76 96 49 30 79 Non‐Residential (Daily: 4.6%, AM: 7.4%, PM: 9.4%) 4,639 818 117 935 182 883 1,065 Gateway
Person Trips
Gateway Residential Person Trips 2,148 21 78 99 96 57 153 Gateway Non‐Residential Person Trips 97,211 10,231 1,464 11,695 1,752 8,518 10,270 Residential ‐ Internal Mode Choice
SOV+Trucks (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 HOV (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0
Transit/Shuttle (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 Active (Daily: 100.0%, AM: 100.0%, PM: 100.0%) 578 20 76 96 49 30 79 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 P e r s o n ) 00 000 00
HOV Occupancy (Daily: 0.00, AM: 0.00, PM: 0.00) 0 0 0 0 0 0 0 Internal Residential Vehicle Trips [ A ] 00 000 00
Non‐Residential ‐ Internal Mode Choice
SOV+Trucks (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 HOV (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0
Transit/Shuttle (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 Active (Daily: 100.0%, AM: 100.0%, PM: 100.0%) 4,639 818 117 935 182 883 1,065 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 P e r s o n ) 00 000 00
HOV Occupancy (Daily: 0.00, AM: 0.00, PM: 0.00) 0 0 0 0 0 0 0 Internal Non‐Residential Vehicle Trips [ B ] 00 000 00
Transit/Shuttle Trips ‐ Conversion to Vehicles ‐ Occupancy (Daily: 0.0, AM: 0.0, PM: 0.0) Internal Transit Vehicles [ C ] 00 000 00
Internal Total Vehicles [A + B + C = D ] 00 000 00
Residential ‐ Gateway Mode Choice
SOV+Trucks (Daily: 80.6%, AM: 75.8%, PM: 76.5%) 1,732 17 58 75 72 45 117 HOV (Daily: 15.4%, AM: 18.2%, PM: 18.3%) 330 4 14 18 17 11 28 Transit/Shuttle (Daily: 2.2%, AM: 4.0%, PM: 3.9%) 47 0 4 4 5 1 6 Active (Daily: 1.8%, AM: 2.0%, PM: 1.3%) 39 0 2 2 2 0 2 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 Person) 1,732 17 58 75 72 45 117 HOV Occupancy (Daily: 2.00, AM: 2.00, PM: 2.00) 165 2 7 9 9 5 14 Gateway Residential Vehicle Trips [E] 1,897 19 65 84 81 50 131 Non‐Residential ‐ Gateway Mode Choice
SOV+Trucks (Daily: 72.4%, AM: 64.9%, PM: 64.7%) 70,423 6,373 1,219 7,592 1,083 5,557 6,640 HOV (Daily: 23.9%, AM: 17.2%, PM: 28.6%) 23,251 1,871 145 2,016 611 2,324 2,935 Transit/Shuttle (Daily: 2.6%, AM: 13.7%, PM: 2.0%) 2,529 1,527 70 1,597 10 194 204 Active (Daily: 1.1%, AM: 4.2%, PM: 4.7%) 1,008 460 30 490 48 443 491 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 Person) 70,423 6,373 1,219 7,592 1,083 5,557 6,640 HOV Occupancy (Daily: 2.00, AM: 2.18, PM: 2.15) 11,626 850 73 923 306 1,056 1,362 Gateway Non‐Residential Vehicle Trips [F] 82,049 7,223 1,292 8,515 1,389 6,613 8,002 Transit/Shuttle Trips ‐ Conversion to Vehicles ‐ Occupancy (Daily: 15.0, AM: 18.6, PM: 14.0) Gateway Transit Vehicles [G] 172 5 7 29 8 6 6 91 5
Gateway Total Vehicles [E + F + G = H] 84,118 7,299 1,38 6 8,685 1,47 6 6,672 8,148 Non‐Residential Land Use: Gateway Mode Choice
All Land Uses: Gateway Vehicle Trip Calculations
Table G‐1: Return to Office Assessment
Residential Land Use: Gateway Mode Choice
All Land Uses: Person Trips
All Land Uses: Internal vs Gateway Person Trips
Residential Land Use: Internal Mode Choice
Non‐Residential Land Use: Internal Mode Choice
All
Land Uses: Internal Vehicle Trip Calculations
Daily AM In AM Out AM Total PM In PM Out PM Total Existing Residential Trips (18000 DUs) 135,180 2,052 7,650 9,702 7,200 4,320 11,520 Additional Residential Trips (0,000 D U s ) 00 000 00
Existing Non‐Residential Trips (38,910 Employees) 159,142 17,264 2,471 19,735 3,021 14,689 17,710 Additional Non‐Residential Trips (0,000 Employees) 0 0 0 0 0 0 0 Total Person Trips 294,322 19,316 10,121 29,437 10,221 19,009 29,230 Internal Trips Percentage (Daily: 12.2%, AM: 21.1%, PM: 19.1%) Residential (Daily: 21.2%, AM: 49.1%, PM: 33.9%) 28,658 1,008 3,756 4,764 2,441 1,464 3,905 Non‐Residential (Daily: 4.6%, AM: 7.4%, PM: 9.4%) 7,249 1,278 183 1,461 284 1,381 1,665 Gateway
Person Trips
Gateway Residential Person Trips 106,522 1,044 3,894 4,938 4,759 2,856 7,615 Gateway Non‐Residential Person Trips 151,893 15,986 2,288 18,274 2,737 13,308 16,045 Residential ‐ Internal Mode Choice
SOV+Trucks (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 HOV (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0
Transit/Shuttle (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 Active (Daily: 100.0%, AM: 100.0%, PM: 100.0%) 28,658 1,008 3,756 4,764 2,441 1,464 3,905 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 P e r s o n ) 00 000 00
HOV Occupancy (Daily: 0.00, AM: 0.00, PM: 0.00) 0 0 0 0 0 0 0 Internal Residential Vehicle Trips [ A ] 00 000 00
Non‐Residential ‐ Internal Mode Choice
SOV+Trucks (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 HOV (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0
Transit/Shuttle (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 Active (Daily: 100.0%, AM: 100.0%, PM: 100.0%) 7,249 1,278 183 1,461 284 1,381 1,665 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 P e r s o n ) 00 000 00
HOV Occupancy (Daily: 0.00, AM: 0.00, PM: 0.00) 0 0 0 0 0 0 0 Internal Non‐Residential Vehicle Trips [ B ] 00 000 00
Transit/Shuttle Trips ‐ Conversion to Vehicles ‐ Occupancy (Daily: 0.0, AM: 0.0, PM: 0.0) Internal Transit Vehicles [ C ] 00 000 00
Internal Total Vehicles [A + B + C = D ] 00 000 00
Residential ‐ Gateway Mode Choice
SOV+Trucks (Daily: 80.6%, AM: 75.3%, PM: 76.5%) 85,899 833 2,886 3,719 3,546 2,279 5,825 HOV (Daily: 15.4%, AM: 17.7%, PM: 17.9%) 16,363 196 677 873 832 534 1,366 Transit/Shuttle (Daily: 2.2%, AM: 4.5%, PM: 3.8%) 2,343 10 214 224 262 29 291 Active (Daily: 1.8%, AM: 2.5%, PM: 1.8%) 1,917 5 117 122 119 14 133 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 Person) 85,899 833 2,886 3,719 3,546 2,279 5,825 HOV Occupancy (Daily: 2.00, AM: 2.04, PM: 2.07) 8,182 89 339 428 416 243 659 Gateway Residential Vehicle Trips [E] 94,081 922 3,225 4,14 7 3,962 2,522 6,484 Non‐Residential ‐ Gateway Mode Choice
SOV+Trucks (Daily: 72.4%, AM: 64.9%, PM: 64.7%) 110,037 9,958 1,905 11,863 1,692 8,682 10,374 HOV (Daily: 23.9%, AM: 17.2%, PM: 28.6%) 36,329 2,924 227 3,151 954 3,630 4,584 Transit/Shuttle (Daily: 2.6%, AM: 13.7%, PM: 2.0%) 3,952 2,386 109 2,495 16 304 320 Active (Daily: 1.1%, AM: 4.2%, PM: 4.7%) 1,575 718 47 765 75 692 767 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 Person) 110,037 9,958 1,905 11,863 1,692 8,682 10,374 HOV Occupancy (Daily: 2.00, AM: 2.18, PM: 2.15) 18,165 1,329 114 1,443 478 1,650 2,128 Gateway Non‐Residential Vehicle Trips [F] 128,202 11,287 2,019 13,30 6 2,170 10,332 12,502 Transit/Shuttle Trips ‐ Conversion to Vehicles ‐ Occupancy (Daily: 15.0, AM: 12.6, PM: 4.7) Gateway Transit Vehicles [G] 419 90 12 6 216 115 15 130 Gateway Total Vehicles [E + F + G = H] 222,702 12,299 5,370 17,669 6,24 7 12,869 19,11 6 Non‐Residential Land Use: Gateway Mode Choice
All Land Uses: Gateway Vehicle Trip Calculations
Table G‐2: Hybrid Office Assessment
Residential Land Use: Gateway Mode Choice
All Land Uses: Person Trips
All Land Uses: Internal vs Gateway Person Trips
Residential Land Use: Internal Mode Choice
Non‐Residential Land Use: Internal Mode Choice
All Land Uses: Internal Vehicle Trip Calculations
Daily AM In AM Out AM Total PM In PM Out PM Total Existing Residential Trips (18000 DUs) 135,180 2,052 7,650 9,702 7,200 4,320 11,520 Additional Residential Trips (0,000 D U s ) 00 000 00
Existing Non‐Residential Trips (19,460 Employees) 79,592 8,635 1,236 9,871 1,511 7,346 8,857 Additional Non‐Residential Trips (0,000 Employees) 0 0 0 0 0 0 0 Total Person Trips 214,772 10,687 8,886 19,573 8,711 11,666 20,377 Internal Trips Percentage (Daily: 15.0%, AM: 28.1%, PM: 23.3%) Residential (Daily: 21.2%, AM: 49.1%, PM: 33.9%) 28,658 1,008 3,756 4,764 2,441 1,464 3,905 Non‐Residential (Daily: 4.6%, AM: 7.4%, PM: 9.4%) 3,626 639 91 730 142 691 833 Gateway
Person Trips
Gateway Residential Person Trips 106,522 1,044 3,894 4,938 4,759 2,856 7,615 Gateway Non‐Residential Person Trips 75,966 7,996 1,145 9,141 1,369 6,655 8,024 Residential ‐ Internal Mode Choice
SOV+Trucks (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 HOV (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0
Transit/Shuttle (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 Active (Daily: 100.0%, AM: 100.0%, PM: 100.0%) 28,658 1,008 3,756 4,764 2,441 1,464 3,905 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 P e r s o n ) 00 000 00
HOV Occupancy (Daily: 0.00, AM: 0.00, PM: 0.00) 0 0 0 0 0 0 0 Internal Residential Vehicle Trips [ A ] 00 000 00
Non‐Residential ‐ Internal Mode Choice
SOV+Trucks (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 HOV (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0
Transit/Shuttle (Daily: 0.0%, AM: 0.0%, PM: 0.0%) 0 0 0 0 0 0 0 Active (Daily: 100.0%, AM: 100.0%, PM: 100.0%) 3,626 639 91 730 142 691 833 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 P e r s o n ) 00 000 00
HOV Occupancy (Daily: 0.00, AM: 0.00, PM: 0.00) 0 0 0 0 0 0 0 Internal Non‐Residential Vehicle Trips [ B ] 00 000 00
Transit/Shuttle Trips ‐ Conversion to Vehicles ‐ Occupancy (Daily: 0.0, AM: 0.0, PM: 0.0) Internal Transit Vehicles [ C ] 00 000 00
Internal Total Vehicles [A + B + C = D ] 00 000 00
Residential ‐ Gateway Mode Choice
SOV+Trucks (Daily: 80.6%, AM: 75.3%, PM: 76.5%) 85,899 833 2,886 3,719 3,546 2,279 5,825 HOV (Daily: 15.4%, AM: 17.7%, PM: 17.9%) 16,363 196 677 873 832 534 1,366 Transit/Shuttle (Daily: 2.2%, AM: 4.5%, PM: 3.8%) 2,343 10 214 224 262 29 291 Active (Daily: 1.8%, AM: 2.5%, PM: 1.8%) 1,917 5 117 122 119 14 133 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 Person) 85,899 833 2,886 3,719 3,546 2,279 5,825 HOV Occupancy (Daily: 2.00, AM: 2.04, PM: 2.07) 8,182 89 339 428 416 243 659 Gateway Residential Vehicle Trips [E] 94,081 922 3,225 4,14 7 3,962 2,522 6,484 Non‐Residential ‐ Gateway Mode Choice
SOV+Trucks (Daily: 72.4%, AM: 64.9%, PM: 64.7%) 55,032 4,981 954 5,935 847 4,342 5,189 HOV (Daily: 23.9%, AM: 17.2%, PM: 28.6%) 18,170 1,462 112 1,574 477 1,815 2,292 Transit/Shuttle (Daily: 2.6%, AM: 13.7%, PM: 2.0%) 1,976 1,193 55 1,248 8 152 160 Active (Daily: 1.1%, AM: 4.2%, PM: 4.7%) 788 360 24 384 37 346 383 Conversion to Vehicle Trips
SOV+Trucks (Vehicle = 1 Person) 55,032 4,981 954 5,935 847 4,342 5,189 HOV Occupancy (Daily: 2.00, AM: 2.19, PM: 2.15) 9,085 664 56 720 239 825 1,064 Gateway Non‐Residential Vehicle Trips [F] 64,117 5,645 1,010 6,655 1,08 6 5,167 6,253 Transit/Shuttle Trips ‐ Conversion to Vehicles ‐ Occupancy (Daily: 15.0, AM: 9.8, PM: 3.8) Gateway Transit Vehicles [G] 288 45 105 150 112 8 120
Gateway Total Vehicles [E + F + G = H] 158,486 6,612 4,340 10,952 5,160 7,69 7 12,857 Non‐Residential Land Use: Gateway Mode Choice
All Land Uses: Gateway Vehicle Trip Calculations
Table G‐3: Hybrid Office w/ Telecommute Assessment
Residential Land Use: Gateway Mode Choice
All Land Uses: Person Trips
All Land Uses: Internal vs Gateway Person Trips
Residential Land Use: Internal Mode Choice
Non‐Residential Land Use: Internal Mode Choice
Al
l Land Uses: Internal Vehicle Trip Calculations

Mountain View City CouncilJune 28, 2022

Mountain View City Council
June 28, 2022