HomeMy WebLinkAboutAppendix K - Trip Generation Assessment
APPENDIX K
Trip Generation Assessment and Traffic Scoping
August 16, 2022; Revised April 24, 2023 Patty Nevins City of Fontana 8353 Sierra Avenue Fontana, CA 92335
RE: Trip Generation Assessment and Traffic Scoping for the Proposed Sierra
Distribution Facility in the City of Fontana Dear Ms. Nevins: Kimley-Horn and Associates, Inc. is submitting this Trip Generation Assessment and Traffic Scoping Letter to the City of Fontana to satisfy the requirements outlined in the City’s Traffic
Impact Analysis (TIA) Guideline for Vehicle Miles Traveled (VMT) and Level of Service
Assessment, dated October 21, 2020.
PROJECT DESCRIPTION Seefried Industrial Properties (Applicant ) proposes to redevelop an approximately 18.3-acre site that currently includes five (5) storage warehouses buildings and provides significant long-term parking/storage for heavy vehicles. The current site access is provided via one (1) right-in/right-out driveway along Sierra Avenue, approximately 400-feet north of Clubhouse Drive. The Applicant proposes to construct an approximately 399 KSF distribution warehouse (Project). Access to the site would be provided via two (2) right-in/right-out driveways along Sierra Avenue and two (2) full-access driveways along Mango Avenue. The Project is expected to be constructed one (1) phase and completed in 2025. Attachment A contains the proposed site plan. Based on previous coordination with City staff, truck traffic generated by the site would be restricted from using Summit Avenue and would be discouraged from traveling north along Sierra Avenue
EXISTING SITE TRAFFIC Inbound/outbound traffic data was collected at the existing site in order to quantify the current traffic being generated by the existing facility’s operations. A video camera was installed at the single driveway location along Sierra Avenue to collect inbound/outbound vehicular counts generated by the site. Counts were classified by vehicle types according to the Federal Highway Administration (FWHA): passenger vehicles (FHWA Class 1-3), small/mid-size delivery trucks (FWWA Class 4-7) and large delivery trucks (FWHA Class 8-13). These counts/classifications were conducted for a 72-hour (3-day) period from Tuesday June 14, 2022, through Thursday June 16, 2022. Attachment B contains the and raw data collection sheets for each day and the 3-day average trip generation calculations. Consistent with the City’s TIA guidelines, traffic counts were converted to a Passenger Car Equivalent (PCE) for the 3-day average data.
• FHWA Class 1-3: 1.0 PCE
• FHWA Class 4-7: 2.5 PCE
• FHWA Class 8-13: 3.0 PCE
Table 1 summarizes the results of the 3-day average PCE data for the existing facility.
Ms. Patty Nevins, August 16, 2022; Revised April 24, 2023, Page 2
Table 1: Existing Trip Generation
The existing site surveyed had the following average trips generated:
• 970 Average Daily PCE Trips
• 76 AM Peak Hour Trips (36 inbound / 40 outbound)
• 46 AM Peak Hour Trips (27 inbound / 19 outbound)
PROPOSED TRIP GENERATION Per the City’s TIA guidelines, “the latest edition of the Institute of Transportation Engineers
(ITE) Trip Generation Manual is the preferred source for calculating trip generation in the City of Fontana.” Trip generation estimated for the Project is based on the ITE Trip Generation
Manual (11th Edition). Based on the building design, size, proposed parking/docks, etc., the proposed project operations are most comparable to a High-Cube Transload and Short-Term Warehouse (ITE Land Use Code 154) or High-Cube Fulfillment Center Warehouse – Non-Sort (ITE Land Use Code 155). However, when analyzing the ITE trip rates for these uses, it was determined that these rates may underestimate the traffic generated to some extent. Therefore, the Warehousing use (ITE Land Use Code 150) was selected for a more conservative estimate of traffic generation. Table 2 summarizes the trip generation for the proposed project. Based on ITE Warehouse rates selected, the proposed project is estimated to generate 682 daily trips, with 68 trips during the AM peak hour and 72 trips during the PM peak hour. Following the City’s TIA guidelines for estimating trip generation, the trips were converted to a PCE based on ITE truck trip rates. The truck mixes by number of axles were based on the City of Fontana Truck Trip Generation Study for the Light Warehouse land use category. The truck trips were then converted to PCE trips using the factors from the City’s guidelines. The proposed project is estimated to generate a total of 1,076 PCE trips daily, with 85 PCE trips (63 inbound / 22 outbound) during the AM peak hour, and 84 PCE trips (26 inbound / 58 outbound) during the PM peak hour. Trip Generation excerpts for ITE Land Use 150, 154 and 155 are included in Attachment C for comparison.
Total In Out Total In Out
Passenger Cars 93 11 6 5 1 0 1
Trucks (PCE)877 65 30 35 45 27 18
Net Site Trip Generation Total (PCE)970 76 36 40 46 27 19
Existing Site
Facility Vehicle Type Daily AM Peak Hour of Generator PM Peak Hour of Generator
Ms. Patty Nevins, August 16, 2022; Revised April 24, 2023, Page 3
Table 2: Project Trip Generation
AM Peak-Hour PM Peak-Hour
Land Use Land Use as listed in ITE Units1 Trip Rate2 Daily Trips % of ADT2 In:Out Ratio2 In Out Total % of ADT2 In:Out Ratio 2 In Out Total
Driveway Trips
Proposed VehiclesWarehouse Warehousing 150 399 ksf 1.71 /ksf 682 10% 0.77 :0.23 52 16 68 11% 0.28 :0.72 20 52 72
Subtotal 682 52 16 68 20 52 72
Proposed Passenger VehiclesWarehouse Warehousing 150 399 ksf 1.11 /ksf 443 14% 0.80 :0.20 48 12 60 14% 0.23 :0.77 14 46 60
Proposed TrucksWarehouse Warehousing 150 399 ksf 0.6 /ksf 239 3% 0.52 :0.48 4 4 8 5% 0.52 :0.48 6 6 12
Truck Type Truck Mix42 Axle 25%59 4%0.60 :0.40 1 1 2 4% 0.50 :0.50 1 1 23 Axle 21%49 4% 0.60 :0.40 1 1 2 4% 0.50 :0.50 1 1 24 Axle 55%131 4% 0.60 :0.40 3 2 5 4% 0.50 :0.50 3 3 5
Truck Subtotal 239 6 4 10 5 5 9
Truck Type Passenger Car Equivalent Rate2 Axle 2.0 118 4% 0.60 :0.40 3 2 5 4% 0.50 :0.50 2 2 43 Axle 2.5 123 4% 0.60 :0.40 3 2 5 4% 0.50 :0.50 2 2 44 Axle 3.0 393 4% 0.60 :0.40 9 6 16 4% 0.50 :0.50 8 8 16
Truck Subtotal (PCE)634 15 10 25 12 12 24
NET TRIP GENERATION =1,076 63 22 85 26 58 84
Note:1. ksf = Thousand Square Feet2. Trip rates references from ITE Trip Generation, 11th Edition.3. Driveway trips are the total number of trips generated by a site.4. Truck Mixes based on Fontana Study (Light Warehouse land use)
Truck Breakdown
PCE Breakdown
ITE Land
Use Code
3
Ms. Patty Nevins, August 16, 2022; Revised April 24, 2023, Page 4
TRIP GENERATION COMPARISON
Table 3 provides a comparison of the trips currently being generated by at the existing site and the trip estimated to be generated by the proposed project. The proposed project is estimated to generate just an additional 106 PCE trips daily, with 9 PCE trips during the AM peak hour and 38 PCE trips during the PM peak hour.
Table 3: Trip Generation Comparison
CONCLUSIONS
Attachment D contains the “Exhibit A – Scoping Agreement for Traffic Impact Study” from the City’s guidelines.
Level of Service Analysis Per the City’s TIA guidelines, Level Of Service (LOS) analysis requirements are determined based on the expected trip generation, as follows:
• Traffic Impact Analysis – adds more than 250 two-way peak hour trips
• Traffic Impact Analysis (Small) – adds between 100 and 250 two-way peak hour trips
• Focused Traffic Analysis – adds between 50 and 100 two-way peak hour trips
• Trip Generation Memo – adds less than 50 two-way peak hour trips Because the proposed project is estimated to generate less than 50 net new PCE trips for both the AM and PM peak hours (9 AM / 38 PM), an evaluation of LOS is not required. The proposed project is required to provide a Trip Generation Memo, for which this Letter satisfies.
Total In Out Total In Out
Passenger Cars 93 11 6 5 1 0 1
Trucks 877 65 30 35 45 27 18
Total 970 76 36 40 46 27 19
Passenger Cars 443 60 48 12 60 14 46
Trucks (PCE)634 25 15 10 24 12 12
Total 1,076 85 63 22 84 26 58
Net Site Trip Generation 106 9 27 -18 38 -1 39
VMT Requirements
CEQA VMT Analysis - 500 ore more net daily trips
LOS Requirements
Traffic Impact Analysis - more than 250 two-way peak hour trips
Traffic Impact Analysis (Small) - between 100 and 249 two-way peak hour trips
Focused Traffic Analysis - between 50 and 100 two-way peak hour trips
Trip Generation Memo - less than 50 peak hour trips
Existing Site
Project Estimate
Facility Vehicle Type Daily AM Peak Hour of Generator PM Peak Hour of Generator
Ms. Patty Nevins, August 16, 2022; Revised April 24, 2023, Page 5
Vehicle Miles Traveled Analysis Per the City’s TIA guidelines, “projects that generate fewer than 500 net average daily trips (ADT) would not cause a substantial increase in the total citywide or regional VMT and are therefore presumed to have a less than significant impact on VMT. The screening criteria trip limit is based on net trip generation after considering pass-by, internal capture, affordable housing, and/or existing land use trips.” Because the proposed project is estimated to generate just 106 additional ADT, the project would be screened from VMT analysis requirements and the project is assumed to have a less than significant impact on VMT. The findings and conclusions outlined in this letter was approved by City staff on December 19, 2022. A revised letter has been provided to reflect a site plan change from 398,034 SF to 398,514. Attachment E contains the City’s approval to letter dated August 16, 2022. Please contact me if you have any questions, comments, or concerns. Sincerely,
KIMLEY-HORN AND ASSOCIATES, INC.
Joe Shultz, CA P.E. 84152
Location:Sierra Ave & Windflower Ave Date:6/14/2022
City:Fontana Day:Tuesday
Dwy In Dwy Out Dwy In Dwy Out Dwy In Dwy Out
NR WR NR WR NR WR
12:00 AM 00 12:00 AM 00 12:00 AM 01
12:15 AM 10 12:15 AM 10 12:15 AM 00
12:30 AM 00 12:30 AM 00 12:30 AM 00
12:45 AM 00 12:45 AM 00 12:45 AM 01
1:00 AM 00 1:00 AM 00 1:00 AM 00
1:15 AM 00 1:15 AM 00 1:15 AM 00
1:30 AM 11 1:30 AM 00 1:30 AM 20
1:45 AM 00 1:45 AM 03 1:45 AM 20
2:00 AM 00 2:00 AM 01 2:00 AM 00
2:15 AM 00 2:15 AM 00 2:15 AM 00
2:30 AM 00 2:30 AM 22 2:30 AM 00
2:45 AM 10 2:45 AM 00 2:45 AM 00
3:00 AM 11 3:00 AM 00 3:00 AM 00
3:15 AM 00 3:15 AM 00 3:15 AM 00
3:30 AM 00 3:30 AM 00 3:30 AM 00
3:45 AM 00 3:45 AM 10 3:45 AM 00
4:00 AM 00 4:00 AM 00 4:00 AM 01
4:15 AM 00 4:15 AM 10 4:15 AM 00
4:30 AM 00 4:30 AM 00 4:30 AM 01
4:45 AM 00 4:45 AM 00 4:45 AM 00
5:00 AM 00 5:00 AM 00 5:00 AM 11
5:15 AM 31 5:15 AM 00 5:15 AM 00
5:30 AM 30 5:30 AM 00 5:30 AM 10
5:45 AM 40 5:45 AM 01 5:45 AM 00
6:00 AM 40 6:00 AM 10 6:00 AM 00
6:15 AM 00 6:15 AM 10 6:15 AM 10
6:30 AM 00 6:30 AM 01 6:30 AM 01
6:45 AM 00 6:45 AM 10 6:45 AM 01
7:00 AM 41 7:00 AM 00 7:00 AM 00
7:15 AM 12 7:15 AM 21 7:15 AM 10
7:30 AM 11 7:30 AM 10 7:30 AM 01
7:45 AM 00 7:45 AM 60 7:45 AM 04
8:00 AM 24 8:00 AM 20 8:00 AM 32
8:15 AM 20 8:15 AM 33 8:15 AM 05
8:30 AM 00 8:30 AM 52 8:30 AM 10
8:45 AM 10 8:45 AM 40 8:45 AM 03
9:00 AM 01 9:00 AM 33 9:00 AM 03
9:15 AM 10 9:15 AM 12 9:15 AM 25
9:30 AM 00 9:30 AM 20 9:30 AM 10
9:45 AM 01 9:45 AM 01 9:45 AM 01
10:00 AM 11 10:00 AM 20 10:00 AM 22
10:15 AM 00 10:15 AM 01 10:15 AM 11
10:30 AM 10 10:30 AM 01 10:30 AM 01
10:45 AM 10 10:45 AM 10 10:45 AM 00
11:00 AM 12 11:00 AM 01 11:00 AM 00
11:15 AM 13 11:15 AM 01 11:15 AM 11
11:30 AM 10 11:30 AM 11 11:30 AM 00
11:45 AM 00 11:45 AM 00 11:45 AM 31
12:00 PM 11 12:00 PM 20 12:00 PM 31
12:15 PM 01 12:15 PM 04 12:15 PM 01
12:30 PM 11 12:30 PM 21 12:30 PM 11
12:45 PM 10 12:45 PM 01 12:45 PM 01
1:00 PM 11 1:00 PM 00 1:00 PM 11
1:15 PM 11 1:15 PM 41 1:15 PM 10
1:30 PM 21 1:30 PM 40 1:30 PM 11
1:45 PM 10 1:45 PM 40 1:45 PM 13
2:00 PM 01 2:00 PM 26 2:00 PM 41
2:15 PM 10 2:15 PM 05 2:15 PM 05
2:30 PM 115 2:30 PM 00 2:30 PM 00
2:45 PM 00 2:45 PM 20 2:45 PM 20
3:00 PM 10 3:00 PM 14 3:00 PM 10
3:15 PM 00 3:15 PM 21 3:15 PM 11
3:30 PM 01 3:30 PM 01 3:30 PM 01
3:45 PM 13 3:45 PM 12 3:45 PM 11
4:00 PM 00 4:00 PM 00 4:00 PM 10
4:15 PM 00 4:15 PM 11 4:15 PM 00
4:30 PM 00 4:30 PM 10 4:30 PM 32
4:45 PM 10 4:45 PM 02 4:45 PM 00
5:00 PM 01 5:00 PM 20 5:00 PM 30
5:15 PM 00 5:15 PM 12 5:15 PM 01
5:30 PM 00 5:30 PM 00 5:30 PM 12
5:45 PM 00 5:45 PM 01 5:45 PM 11
6:00 PM 00 6:00 PM 01 6:00 PM 11
6:15 PM 00 6:15 PM 22 6:15 PM 10
6:30 PM 00 6:30 PM 30 6:30 PM 12
6:45 PM 00 6:45 PM 11 6:45 PM 10
7:00 PM 00 7:00 PM 02 7:00 PM 11
7:15 PM 00 7:15 PM 10 7:15 PM 11
7:30 PM 00 7:30 PM 03 7:30 PM 21
7:45 PM 00 7:45 PM 20 7:45 PM 12
8:00 PM 00 8:00 PM 12 8:00 PM 11
8:15 PM 00 8:15 PM 20 8:15 PM 00
8:30 PM 00 8:30 PM 00 8:30 PM 03
8:45 PM 00 8:45 PM 10 8:45 PM 10
9:00 PM 00 9:00 PM 21 9:00 PM 01
9:15 PM 00 9:15 PM 00 9:15 PM 00
9:30 PM 00 9:30 PM 00 9:30 PM 01
9:45 PM 10 9:45 PM 00 9:45 PM 10
10:00 PM 00 10:00 PM 00 10:00 PM 00
10:15 PM 00 10:15 PM 10 10:15 PM 10
10:30 PM 11 10:30 PM 02 10:30 PM 00
10:45 PM 00 10:45 PM 10 10:45 PM 00
11:00 PM 01 11:00 PM 10 11:00 PM 00
11:15 PM 00 11:15 PM 21 11:15 PM 12
11:30 PM 00 11:30 PM 02 11:30 PM 02
11:45 PM 01 11:45 PM 30 11:45 PM 00
Totals 51 49 Totals 93 74 Totals 62 79
FHWA (8‐13)
Directional Dwy In & Out
Prepared by National Data & Surveying Services
TIME
FHWA (4‐7)
TIMETIME
FHWA (1‐3)
Location:Sierra Ave & Windflower Ave Date:6/15/2022
City:Fontana Day:Wednesday
Dwy In Dwy Out Dwy In Dwy Out Dwy In Dwy Out
NR WR NR WR NR WR
12:00 AM 00 12:00 AM 01 12:00 AM 11
12:15 AM 10 12:15 AM 00 12:15 AM 01
12:30 AM 01 12:30 AM 00 12:30 AM 00
12:45 AM 10 12:45 AM 00 12:45 AM 00
1:00 AM 12 1:00 AM 00 1:00 AM 00
1:15 AM 00 1:15 AM 10 1:15 AM 00
1:30 AM 00 1:30 AM 01 1:30 AM 00
1:45 AM 00 1:45 AM 20 1:45 AM 01
2:00 AM 00 2:00 AM 21 2:00 AM 11
2:15 AM 11 2:15 AM 11 2:15 AM 11
2:30 AM 00 2:30 AM 00 2:30 AM 12
2:45 AM 01 2:45 AM 01 2:45 AM 11
3:00 AM 00 3:00 AM 00 3:00 AM 10
3:15 AM 00 3:15 AM 01 3:15 AM 00
3:30 AM 00 3:30 AM 00 3:30 AM 00
3:45 AM 00 3:45 AM 00 3:45 AM 00
4:00 AM 00 4:00 AM 00 4:00 AM 00
4:15 AM 10 4:15 AM 00 4:15 AM 00
4:30 AM 51 4:30 AM 10 4:30 AM 00
4:45 AM 31 4:45 AM 01 4:45 AM 11
5:00 AM 40 5:00 AM 00 5:00 AM 00
5:15 AM 00 5:15 AM 10 5:15 AM 00
5:30 AM 10 5:30 AM 10 5:30 AM 01
5:45 AM 00 5:45 AM 10 5:45 AM 12
6:00 AM 21 6:00 AM 22 6:00 AM 20
6:15 AM 00 6:15 AM 01 6:15 AM 01
6:30 AM 00 6:30 AM 20 6:30 AM 10
6:45 AM 10 6:45 AM 33 6:45 AM 01
7:00 AM 22 7:00 AM 20 7:00 AM 10
7:15 AM 21 7:15 AM 00 7:15 AM 23
7:30 AM 00 7:30 AM 31 7:30 AM 12
7:45 AM 00 7:45 AM 31 7:45 AM 11
8:00 AM 32 8:00 AM 41 8:00 AM 01
8:15 AM 00 8:15 AM 00 8:15 AM 13
8:30 AM 00 8:30 AM 22 8:30 AM 02
8:45 AM 10 8:45 AM 40 8:45 AM 04
9:00 AM 11 9:00 AM 30 9:00 AM 02
9:15 AM 00 9:15 AM 31 9:15 AM 47
9:30 AM 01 9:30 AM 32 9:30 AM 12
9:45 AM 00 9:45 AM 11 9:45 AM 01
10:00 AM 01 10:00 AM 21 10:00 AM 12
10:15 AM 00 10:15 AM 01 10:15 AM 11
10:30 AM 21 10:30 AM 43 10:30 AM 41
10:45 AM 00 10:45 AM 22 10:45 AM 11
11:00 AM 20 11:00 AM 14 11:00 AM 00
11:15 AM 00 11:15 AM 10 11:15 AM 22
11:30 AM 01 11:30 AM 01 11:30 AM 10
11:45 AM 21 11:45 AM 33 11:45 AM 02
12:00 PM 00 12:00 PM 23 12:00 PM 20
12:15 PM 00 12:15 PM 00 12:15 PM 14
12:30 PM 20 12:30 PM 11 12:30 PM 01
12:45 PM 01 12:45 PM 02 12:45 PM 41
1:00 PM 02 1:00 PM 01 1:00 PM 02
1:15 PM 11 1:15 PM 12 1:15 PM 13
1:30 PM 10 1:30 PM 23 1:30 PM 21
1:45 PM 01 1:45 PM 10 1:45 PM 00
2:00 PM 00 2:00 PM 10 2:00 PM 12
2:15 PM 01 2:15 PM 21 2:15 PM 22
2:30 PM 12 2:30 PM 01 2:30 PM 00
2:45 PM 21 2:45 PM 10 2:45 PM 22
3:00 PM 22 3:00 PM 04 3:00 PM 00
3:15 PM 01 3:15 PM 00 3:15 PM 00
3:30 PM 09 3:30 PM 10 3:30 PM 00
3:45 PM 13 3:45 PM 10 3:45 PM 00
4:00 PM 02 4:00 PM 11 4:00 PM 10
4:15 PM 00 4:15 PM 01 4:15 PM 00
4:30 PM 00 4:30 PM 00 4:30 PM 11
4:45 PM 00 4:45 PM 01 4:45 PM 01
5:00 PM 01 5:00 PM 10 5:00 PM 21
5:15 PM 11 5:15 PM 02 5:15 PM 20
5:30 PM 00 5:30 PM 11 5:30 PM 00
5:45 PM 00 5:45 PM 22 5:45 PM 20
6:00 PM 00 6:00 PM 01 6:00 PM 20
6:15 PM 00 6:15 PM 02 6:15 PM 31
6:30 PM 00 6:30 PM 02 6:30 PM 10
6:45 PM 00 6:45 PM 32 6:45 PM 21
7:00 PM 00 7:00 PM 02 7:00 PM 11
7:15 PM 00 7:15 PM 01 7:15 PM 10
7:30 PM 00 7:30 PM 03 7:30 PM 21
7:45 PM 00 7:45 PM 00 7:45 PM 00
8:00 PM 00 8:00 PM 02 8:00 PM 41
8:15 PM 00 8:15 PM 03 8:15 PM 10
8:30 PM 10 8:30 PM 11 8:30 PM 10
8:45 PM 01 8:45 PM 00 8:45 PM 10
9:00 PM 00 9:00 PM 02 9:00 PM 31
9:15 PM 00 9:15 PM 01 9:15 PM 01
9:30 PM 00 9:30 PM 01 9:30 PM 10
9:45 PM 00 9:45 PM 00 9:45 PM 00
10:00 PM 00 10:00 PM 12 10:00 PM 20
10:15 PM 00 10:15 PM 01 10:15 PM 00
10:30 PM 00 10:30 PM 00 10:30 PM 10
10:45 PM 11 10:45 PM 01 10:45 PM 00
11:00 PM 01 11:00 PM 00 11:00 PM 10
11:15 PM 00 11:15 PM 01 11:15 PM 10
11:30 PM 00 11:30 PM 00 11:30 PM 00
11:45 PM 00 11:45 PM 02 11:45 PM 10
Totals 49 50 Totals 81 93 Totals 84 79
Prepared by National Data & Surveying Services
Directional Dwy In & Out
TIME
FHWA (1‐3)
TIME
FHWA (4‐7)
TIME
FHWA (8‐13)
Location:Sierra Ave & Windflower Ave Date:6/16/2022
City:Fontana Day:Thursday
Dwy In Dwy Out Dwy In Dwy Out Dwy In Dwy Out
NR WR NR WR NR WR
12:00 AM 01 12:00 AM 00 12:00 AM 00
12:15 AM 11 12:15 AM 10 12:15 AM 00
12:30 AM 10 12:30 AM 00 12:30 AM 00
12:45 AM 00 12:45 AM 00 12:45 AM 01
1:00 AM 00 1:00 AM 10 1:00 AM 00
1:15 AM 00 1:15 AM 00 1:15 AM 00
1:30 AM 00 1:30 AM 01 1:30 AM 00
1:45 AM 00 1:45 AM 00 1:45 AM 00
2:00 AM 00 2:00 AM 00 2:00 AM 00
2:15 AM 00 2:15 AM 11 2:15 AM 20
2:30 AM 00 2:30 AM 01 2:30 AM 12
2:45 AM 00 2:45 AM 00 2:45 AM 00
3:00 AM 00 3:00 AM 00 3:00 AM 00
3:15 AM 00 3:15 AM 00 3:15 AM 00
3:30 AM 00 3:30 AM 00 3:30 AM 00
3:45 AM 00 3:45 AM 10 3:45 AM 00
4:00 AM 00 4:00 AM 02 4:00 AM 21
4:15 AM 10 4:15 AM 00 4:15 AM 00
4:30 AM 21 4:30 AM 00 4:30 AM 00
4:45 AM 70 4:45 AM 00 4:45 AM 00
5:00 AM 30 5:00 AM 00 5:00 AM 00
5:15 AM 00 5:15 AM 00 5:15 AM 00
5:30 AM 00 5:30 AM 00 5:30 AM 00
5:45 AM 00 5:45 AM 11 5:45 AM 10
6:00 AM 20 6:00 AM 11 6:00 AM 11
6:15 AM 12 6:15 AM 00 6:15 AM 10
6:30 AM 10 6:30 AM 01 6:30 AM 11
6:45 AM 00 6:45 AM 12 6:45 AM 20
7:00 AM 10 7:00 AM 02 7:00 AM 00
7:15 AM 10 7:15 AM 01 7:15 AM 30
7:30 AM 42 7:30 AM 01 7:30 AM 10
7:45 AM 10 7:45 AM 20 7:45 AM 01
8:00 AM 36 8:00 AM 00 8:00 AM 12
8:15 AM 52 8:15 AM 00 8:15 AM 10
8:30 AM 11 8:30 AM 32 8:30 AM 01
8:45 AM 01 8:45 AM 10 8:45 AM 03
9:00 AM 10 9:00 AM 00 9:00 AM 11
9:15 AM 01 9:15 AM 10 9:15 AM 01
9:30 AM 10 9:30 AM 01 9:30 AM 10
9:45 AM 00 9:45 AM 10 9:45 AM 00
10:00 AM 11 10:00 AM 10 10:00 AM 01
10:15 AM 00 10:15 AM 12 10:15 AM 30
10:30 AM 20 10:30 AM 22 10:30 AM 00
10:45 AM 10 10:45 AM 20 10:45 AM 13
11:00 AM 15 11:00 AM 23 11:00 AM 20
11:15 AM 11 11:15 AM 10 11:15 AM 21
11:30 AM 11 11:30 AM 03 11:30 AM 12
11:45 AM 12 11:45 AM 01 11:45 AM 11
12:00 PM 00 12:00 PM 00 12:00 PM 01
12:15 PM 22 12:15 PM 20 12:15 PM 11
12:30 PM 11 12:30 PM 11 12:30 PM 11
12:45 PM 00 12:45 PM 00 12:45 PM 01
1:00 PM 10 1:00 PM 20 1:00 PM 12
1:15 PM 00 1:15 PM 30 1:15 PM 32
1:30 PM 00 1:30 PM 14 1:30 PM 02
1:45 PM 00 1:45 PM 00 1:45 PM 01
2:00 PM 01 2:00 PM 10 2:00 PM 12
2:15 PM 20 2:15 PM 00 2:15 PM 31
2:30 PM 13 2:30 PM 02 2:30 PM 00
2:45 PM 22 2:45 PM 00 2:45 PM 10
3:00 PM 00 3:00 PM 11 3:00 PM 01
3:15 PM 00 3:15 PM 00 3:15 PM 01
3:30 PM 17 3:30 PM 00 3:30 PM 10
3:45 PM 19 3:45 PM 01 3:45 PM 01
4:00 PM 02 4:00 PM 00 4:00 PM 00
4:15 PM 00 4:15 PM 11 4:15 PM 00
4:30 PM 11 4:30 PM 01 4:30 PM 10
4:45 PM 00 4:45 PM 00 4:45 PM 00
5:00 PM 00 5:00 PM 11 5:00 PM 11
5:15 PM 00 5:15 PM 10 5:15 PM 01
5:30 PM 01 5:30 PM 10 5:30 PM 00
5:45 PM 00 5:45 PM 00 5:45 PM 21
6:00 PM 00 6:00 PM 00 6:00 PM 11
6:15 PM 00 6:15 PM 00 6:15 PM 12
6:30 PM 00 6:30 PM 20 6:30 PM 11
6:45 PM 00 6:45 PM 02 6:45 PM 00
7:00 PM 00 7:00 PM 11 7:00 PM 21
7:15 PM 00 7:15 PM 22 7:15 PM 11
7:30 PM 00 7:30 PM 00 7:30 PM 13
7:45 PM 00 7:45 PM 01 7:45 PM 31
8:00 PM 00 8:00 PM 23 8:00 PM 00
8:15 PM 00 8:15 PM 00 8:15 PM 11
8:30 PM 11 8:30 PM 02 8:30 PM 10
8:45 PM 00 8:45 PM 00 8:45 PM 00
9:00 PM 00 9:00 PM 00 9:00 PM 00
9:15 PM 00 9:15 PM 10 9:15 PM 00
9:30 PM 00 9:30 PM 01 9:30 PM 11
9:45 PM 00 9:45 PM 02 9:45 PM 00
10:00 PM 10 10:00 PM 12 10:00 PM 10
10:15 PM 01 10:15 PM 01 10:15 PM 02
10:30 PM 00 10:30 PM 00 10:30 PM 20
10:45 PM 01 10:45 PM 22 10:45 PM 01
11:00 PM 10 11:00 PM 02 11:00 PM 20
11:15 PM 01 11:15 PM 00 11:15 PM 00
11:30 PM 00 11:30 PM 10 11:30 PM 11
11:45 PM 00 11:45 PM 11 11:45 PM 10
Totals 60 61 Totals 52 62 Totals 65 59
Prepared by National Data & Surveying Services
Directional Dwy In & Out
TIME
FHWA (1‐3)
TIME
FHWA (4‐7)
TIME
FHWA (8‐13)
Location:Sierra Ave & Windflower Ave Date:
City:Fontana Day:
Dwy In Dwy Out Dwy In Dwy Out Dwy In Dwy Out Dwy In Dwy Out
NR WR NR WR NR WR NR WR
12:00 AM 00 12:00 AM 00 12:00 AM 01 12:00 AM 03
12:15 AM 10 12:15 AM 10 12:15 AM 00 12:15 AM 40
12:30 AM 00 12:30 AM 00 12:30 AM 00 12:30 AM 00
12:45 AM 00 12:45 AM 00 12:45 AM 01 12:45 AM 03
1:00 AM 01 1:00 AM 00 1:00 AM 00 1:00 AM 01
1:15 AM 00 1:15 AM 00 1:15 AM 00 1:15 AM 00
1:30 AM 00 1:30 AM 01 1:30 AM 10 1:30 AM 33
1:45 AM 00 1:45 AM 11 1:45 AM 10 1:45 AM 63
2:00 AM 00 2:00 AM 11 2:00 AM 00 2:00 AM 33
2:15 AM 00 2:15 AM 11 2:15 AM 10 2:15 AM 63
2:30 AM 00 2:30 AM 11 2:30 AM 11 2:30 AM 66
2:45 AM 00 2:45 AM 00 2:45 AM 00 2:45 AM 00
3:00 AM 00 3:00 AM 00 3:00 AM 00 3:00 AM 00
3:15 AM 00 3:15 AM 00 3:15 AM 00 3:15 AM 00
3:30 AM 00 3:30 AM 00 3:30 AM 00 3:30 AM 00
3:45 AM 00 3:45 AM 10 3:45 AM 00 3:45 AM 30
4:00 AM 00 4:00 AM 01 4:00 AM 11 4:00 AM 36
4:15 AM 10 4:15 AM 00 4:15 AM 00 4:15 AM 10
4:30 AM 21 4:30 AM 00 4:30 AM 00 4:30 AM 21
4:45 AM 30 4:45 AM 00 4:45 AM 00 4:45 AM 30
5:00 AM 20 5:00 AM 00 5:00 AM 00 5:00 AM 20
5:15 AM 10 5:15 AM 00 5:15 AM 00 5:15 AM 10
5:30 AM 10 5:30 AM 00 5:30 AM 00 5:30 AM 10
5:45 AM 10 5:45 AM 11 5:45 AM 11 5:45 AM 76
6:00 AM 30 6:00 AM 11 6:00 AM 10 6:00 AM 93
6:15 AM 01 6:15 AM 00 6:15 AM 10 6:15 AM 31
6:30 AM 00 6:30 AM 11 6:30 AM 11 6:30 AM 66
6:45 AM 00 6:45 AM 22 6:45 AM 11 6:45 AM 88
7:00 AM 21 7:00 AM 11 7:00 AM 00 7:00 AM 54
7:15 AM 11 7:15 AM 11 7:15 AM 21 7:15 AM 10 7
7:30 AM 21 7:30 AM 11 7:30 AM 11 7:30 AM 87
7:45 AM 00 7:45 AM 40 7:45 AM 02 7:45 AM 10 6
8:00 AM 34 8:00 AM 20 8:00 AM 12 8:00 AM 11 10
8:15 AM 21 8:15 AM 11 8:15 AM 13 8:15 AM 813
8:30 AM 00 8:30 AM 32 8:30 AM 01 8:30 AM 88
8:45 AM 10 8:45 AM 30 8:45 AM 03 8:45 AM 99
9:00 AM 11 9:00 AM 21 9:00 AM 02 9:00 AM 610
9:15 AM 00 9:15 AM 21 9:15 AM 24 9:15 AM 11 15
9:30 AM 00 9:30 AM 21 9:30 AM 11 9:30 AM 86
9:45 AM 00 9:45 AM 11 9:45 AM 01 9:45 AM 36
10:00 AM 11 10:00 AM 20 10:00 AM 12 10:00 AM 97
10:15 AM 00 10:15 AM 01 10:15 AM 21 10:15 AM 66
10:30 AM 20 10:30 AM 22 10:30 AM 11 10:30 AM 10 8
10:45 AM 10 10:45 AM 21 10:45 AM 11 10:45 AM 96
11:00 AM 12 11:00 AM 13 11:00 AM 10 11:00 AM 710
11:15 AM 11 11:15 AM 10 11:15 AM 21 11:15 AM 10 4
11:30 AM 11 11:30 AM 02 11:30 AM 11 11:30 AM 49
11:45 AM 11 11:45 AM 11 11:45 AM 11 11:45 AM 77
12:00 PM 00 12:00 PM 11 12:00 PM 21 12:00 PM 96
12:15 PM 11 12:15 PM 11 12:15 PM 12 12:15 PM 710
12:30 PM 11 12:30 PM 11 12:30 PM 11 12:30 PM 77
12:45 PM 00 12:45 PM 01 12:45 PM 11 12:45 PM 36
1:00 PM 11 1:00 PM 10 1:00 PM 12 1:00 PM 77
1:15 PM 11 1:15 PM 31 1:15 PM 22 1:15 PM 15 10
1:30 PM 10 1:30 PM 22 1:30 PM 11 1:30 PM 98
1:45 PM 00 1:45 PM 20 1:45 PM 01 1:45 PM 53
2:00 PM 01 2:00 PM 12 2:00 PM 22 2:00 PM 912
2:15 PM 10 2:15 PM 12 2:15 PM 23 2:15 PM 10 14
2:30 PM 17 2:30 PM 01 2:30 PM 00 2:30 PM 110
2:45 PM 11 2:45 PM 10 2:45 PM 21 2:45 PM 10 4
3:00 PM 11 3:00 PM 13 3:00 PM 00 3:00 PM 49
3:15 PM 00 3:15 PM 10 3:15 PM 01 3:15 PM 33
3:30 PM 06 3:30 PM 00 3:30 PM 00 3:30 PM 06
3:45 PM 15 3:45 PM 11 3:45 PM 01 3:45 PM 411
4:00 PM 01 4:00 PM 00 4:00 PM 10 4:00 PM 31
4:15 PM 00 4:15 PM 11 4:15 PM 00 4:15 PM 33
4:30 PM 00 4:30 PM 00 4:30 PM 21 4:30 PM 63
4:45 PM 00 4:45 PM 01 4:45 PM 00 4:45 PM 03
5:00 PM 01 5:00 PM 10 5:00 PM 21 5:00 PM 94
5:15 PM 00 5:15 PM 11 5:15 PM 11 5:15 PM 66
5:30 PM 00 5:30 PM 10 5:30 PM 01 5:30 PM 33
5:45 PM 00 5:45 PM 11 5:45 PM 21 5:45 PM 96
6:00 PM 00 6:00 PM 01 6:00 PM 11 6:00 PM 36
6:15 PM 00 6:15 PM 11 6:15 PM 21 6:15 PM 96
6:30 PM 00 6:30 PM 21 6:30 PM 11 6:30 PM 86
6:45 PM 00 6:45 PM 12 6:45 PM 10 6:45 PM 65
7:00 PM 00 7:00 PM 02 7:00 PM 11 7:00 PM 38
7:15 PM 00 7:15 PM 11 7:15 PM 11 7:15 PM 66
7:30 PM 00 7:30 PM 02 7:30 PM 22 7:30 PM 611
7:45 PM 00 7:45 PM 10 7:45 PM 11 7:45 PM 63
8:00 PM 00 8:00 PM 12 8:00 PM 21 8:00 PM 98
8:15 PM 00 8:15 PM 11 8:15 PM 10 8:15 PM 63
8:30 PM 10 8:30 PM 01 8:30 PM 11 8:30 PM 46
8:45 PM 00 8:45 PM 00 8:45 PM 10 8:45 PM 30
9:00 PM 00 9:00 PM 11 9:00 PM 11 9:00 PM 66
9:15 PM 00 9:15 PM 00 9:15 PM 00 9:15 PM 00
9:30 PM 00 9:30 PM 01 9:30 PM 11 9:30 PM 36
9:45 PM 00 9:45 PM 01 9:45 PM 00 9:45 PM 03
10:00 PM 00 10:00 PM 11 10:00 PM 10 10:00 PM 63
10:15 PM 00 10:15 PM 01 10:15 PM 01 10:15 PM 06
10:30 PM 00 10:30 PM 01 10:30 PM 10 10:30 PM 33
10:45 PM 01 10:45 PM 11 10:45 PM 00 10:45 PM 34
11:00 PM 01 11:00 PM 01 11:00 PM 10 11:00 PM 34
11:15 PM 00 11:15 PM 11 11:15 PM 11 11:15 PM 66
11:30 PM 00 11:30 PM 01 11:30 PM 01 11:30 PM 06
11:45 PM 00 11:45 PM 11 11:45 PM 10 11:45 PM 63
Totals 46 47 Totals 78 76 Totals 73 75 Totals 483 487
TIME
PCE
Prepared by National Data & Surveying Services
Directional Dwy In & Out
TIME
FHWA (1‐3)
TIME
FHWA (4‐7)
TIME
FHWA (8‐13)
Land Use: 150
Warehousing
Description
A warehouse is primarily devoted to the storage of materials, but it may also include office and
maintenance areas. High-cube transload and short-term storage warehouse (Land Use 154), high-
cube fulfillment center warehouse (Land Use 155), high-cube parcel hub warehouse (Land Use
156), and high-cube cold storage warehouse (Land Use 157) are related uses.
Additional Data
The technical appendices provide supporting information on time-of-day distributions for this
land use. The appendices can be accessed through either the ITETripGen web app or the trip
generation resource page on the ITE website (https://www.ite.org/technical-resources/topics/trip-
and-parking-generation/).
The sites were surveyed in the 1980s, the 1990s, the 2000s, and the 2010s in California,
Connecticut, Minnesota, New Jersey, New York, Ohio, Oregon, Pennsylvania, and Texas.
Source Numbers
184, 331, 406, 411, 443, 579, 583, 596, 598, 611, 619, 642, 752, 869, 875, 876, 914, 940, 1050
94 Trip Generation Manual 11th Edition • Volume 3
Warehousing(150)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday
Setting/Location:General Urban/Suburban
Number of Studies: 31
Avg. 1000 Sq. Ft. GFA:292
Directional Distribution: 50% entering, 50% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
1.71 0.15 - 16.93 1.48
Data Plot and Equation
0 1000 2000 3000 40000
2000
4000
6000
Average RateStudy Site Fitted Curve
Fitted Curve Equation:T = 1.58(X) + 38.29 R²= 0.92
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
95General Urban/Suburban and Rural (Land Uses 000–399)
Warehousing(150)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 7 and 9 a.m.
Setting/Location:General Urban/Suburban
Number of Studies: 36
Avg. 1000 Sq. Ft. GFA:448
Directional Distribution: 77% entering, 23% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.17 0.02 - 1.93 0.19
Data Plot and Equation
0 1000 2000 3000 40000
200
400
600
Average RateStudy Site Fitted Curve
Fitted Curve Equation:T = 0.12(X) + 23.62 R²= 0.69
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
96 Trip Generation Manual 11th Edition • Volume 3
Warehousing(150)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 4 and 6 p.m.
Setting/Location:General Urban/Suburban
Number of Studies: 49
Avg. 1000 Sq. Ft. GFA:400
Directional Distribution: 28% entering, 72% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.18 0.01 - 1.80 0.18
Data Plot and Equation
0 1000 2000 3000 40000
200
400
600
Average RateStudy Site Fitted Curve
Fitted Curve Equation:T = 0.12(X) + 26.48 R²= 0.65
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
97General Urban/Suburban and Rural (Land Uses 000–399)
Warehousing(150)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
AM Peak Hour of Generator
Setting/Location:General Urban/Suburban
Number of Studies: 25
Avg. 1000 Sq. Ft. GFA:284
Directional Distribution: 66% entering, 34% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.21 0.02 - 2.08 0.26
Data Plot and Equation
0 1000 2000 3000 40000
100
200
300
400
500
Average RateStudy Site Fitted Curve
Fitted Curve Equation:T = 0.11(X) + 28.55 R²= 0.85
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
98 Trip Generation Manual 11th Edition • Volume 3
Warehousing(150)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
PM Peak Hour of Generator
Setting/Location:General Urban/Suburban
Number of Studies: 27
Avg. 1000 Sq. Ft. GFA:284
Directional Distribution: 24% entering, 76% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.23 0.02 - 1.80 0.23
Data Plot and Equation
0 1000 2000 3000 40000
200
400
600
Average RateStudy Site Fitted Curve
Fitted Curve Equation:T = 0.15(X) + 20.47 R²= 0.90
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
99General Urban/Suburban and Rural (Land Uses 000–399)
Warehousing(150)
Truck Trip Ends vs:1000 Sq.Ft.GFA
On a:Weekday
Setting/Location:General Urban/Suburban
Number of Studies:12
Avg.1000 Sq.Ft.GFA:115
Directional Distribution:50%entering,50%exiting
Truck Trip Generation per 1000 Sq.Ft.GFA
Average Rate Range of Rates Standard Deviation
0.60 0.00 -6.66 0.86
Data Plot and Equation
300
Tr
i
p
s
En
d
s
T=
0 100 200 300 400
X =1000 Sq.Ft.GFA
X Study Site —Fitted Curve —————Average Rate
Fitted Curve Equation:T =0.54(X)+7.47 R2=0.61
Warehousing(150)
Truck Trip Ends vs:1000 Sq.Ft.GFA
On a:Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 7 and 9 a.m.
Setting/Location:General Urban/Suburban
Number of Studies:21
Avg.1000 Sq.Ft.GFA:309
Directional Distribution:52%entering,48%exiting
Truck Trip Generation per 1000 Sq.Ft.GFA
Average Rate Range of Rates Standard Deviation
0.02 0.00 -0.69 0.05
Data Plot and Equation
so ,
I
/
/
/,’x
X ,’
/
/
/
/
/
l
><. . . .7’.20 1
I
X /
(I)/E /
i5 ></
ll /
|_/
I
l
/X /
/10 il
/
/
/
/
/
l/><,’><;<>< ><
</X/
/
0 7K0 1000 2000 3000
x =1000 Sq.Ft.GFA
X Study Site —————Average Rate
Fitted Curve Equation:Not Given R2=***
Warehousing(150)
Truck Trip Ends vs:1000 Sq.Ft.GFA
On a:Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 4 and 6 p.m.
Setting/Location:General Urban/Suburban
Number of Studies:23
Avg.1000 Sq.Ft.GFA:308
Directional Distribution:52%entering,48%exiting
Truck Trip Generation per 1000 Sq.Ft.GFA
Average Rate Range of Rates Standard Deviation
0.03 0.00 -0.42 0.03
Data Plot and Equation
R2:*urFittedCurveEquation:Not Given
40 I’
/
/
I
/
/
/
/
x ,’x
/
l30,
/
l
/
l
/
/
g l
C /L|.l /
g l
E 20 """""""""",'"""""""""""""""""""""""""""""""""""""""""""""""
ll li->< ><l
/
/
/
X /
x ,’
/
/
10 I/
X /
/
/X /XXXX XX//XX/
/
0 *1 V0 1000 2000 3000
X =1000 Sq.Ft.GFA
X Study Site —————Average Rate
Warehousing(150)
Truck Trip Ends vs:1000 Sq.Ft.GFA
On a:Weekday,
AM Peak Hour of Generator
Setting/Location:General Urban/Suburban
Number of Studies:12
Avg.1000 Sq.Ft.GFA:115
Directional Distribution:35%entering,65%exiting
Truck Trip Generation per 1000 Sq.Ft.GFA
Average Rate Range of Rates Standard Deviation
0.06 0.00 -0.60 0.08
Data Plot and Equation
40
30
Tr
i
p
s
En
d
s
T=
0 100 200 300
X =1000 Sq.Ft.GFA
X Study Site —Fitted Curve —————Average Rate
Fitted Curve Equation:T =0.06(X)+0.99 R2=0.57
400
Warehousing(150)
Truck Trip Ends vs:1000 Sq.Ft.GFA
On a:Weekday,
PM Peak Hour of Generator
Setting/Location:General Urban/Suburban
Number of Studies:12
Avg.1000 Sq.Ft.GFA:115
Directional Distribution:53%entering,47%exiting
Truck Trip Generation per 1000 Sq.Ft.GFA
Average Rate Range of Rates Standard Deviation
0.06 0.00 -0.42 0.06
Data Plot and Equation
30
Tr
i
p
s
En
d
s
T=
0 100 200 300 400
X =1000 Sq.Ft.GFA
X Study Site —Fitted Curve —————Average Rate
Fitted Curve Equation:T =0.05(X)+0.82 R2=0.62
Truck Trip Generation Study
VEHICLE MIX AND ENTER/EXIT SPLITS BY LAND USE CATEGORY
Classification: Light Warehouse
Recommended Large Truck Mix ( %)
Lge 2 Ax 3 Axle 4+ Axle Total
24.7 20.6 54.6 100.0
Pass Veh Lge 2 Ax 3 Axle 4+ Axle Total
80.3 5.2 4.5 10.0 100.0
Site Entering & Exiting
Total Enter Total Exit Large
Truck
Enter
Large
Truck Exit
Total Enter Total Exit Large
Truck
Ente r
Large
Truck Exit
Split 73.97 26.03 62.07 37.93 23.81 76.19 45.45 54.55
Street Entering & Exiting
Total Enter Total Exit Large
Truck
Enter
Large
Truck Exit
Total Enter Total Exit Large
Truck
Ente r
Large
Truck Exit
Split 73.77 26.23 65.22 34.78 20.00 80.00 31.58 68.42
a.m.p.m.
a.m.p.m.
20
AM Peak‐Hour PM Peak‐Hour
Land Use Land Use as listed in ITE Units1 Trip Rate 2 Daily Trips % of ADT2 In:Out Ratio 2 In Out Total
% of ADT 2 In:Out Ratio 2 In Out Total
Driveway Trips
Proposed Vehicles
Warehouse High‐Cube Transload and Short‐Term St 154 398 ksf 1.4 / ksf 557 6% 0.77 : 0.23 25 7 32 7% 0.28 : 0.72 11 29 40
Subtotal 557 25 7 32 11 29 40
Proposed Passenger Vehicles
Warehouse General Light Industrial 154 398 ksf 1.15 / ksf 458 6% 0.82 : 0.18 23 5 28 8% 0.25 : 0.75 92736
Proposed Trucks
Warehouse General Light Industrial 154 398 ksf 0.25 / ksf 100 4% 0.60 : 0.40 224 4% 0.50 : 0.50 224
Truck Type Truck Mix4
2 Axle 33%33 4% 0.60 : 0.40 1 1 1 4% 0.50 : 0.50 1 1 2
3 Axle 18%18 4% 0.60 : 0.40 0 0 1 4% 0.50 : 0.50 1 1 2
4 Axle 49%49 4% 0.60 : 0.40 1 1 2 4% 0.50 : 0.50 1 1 2
Truck Subtotal 100 224 336
Truck Type Passenger Car Equivalent Rate
2 Axle 2 66 4% 0.60 : 0.40 2 1 3 4% 0.50 : 0.50 1 1 2
3 Axle 2.5 45 4% 0.60 : 0.40 1 1 2 4% 0.50 : 0.50 1 1 2
4 Axle 3 147 4% 0.60 : 0.40 4 2 6 4% 0.50 : 0.50 3 3 6
Truck Subtotal (PCE)258 6 4 10 5 5 10
NET TRIP GENERATION =716 29 9 38 14 32 46
Note:
1. ksf = Thousand Square Feet
2. Trip rates references from ITE Trip Generation, 11th Edition.
3. Driveway trips are the total number of trips generated by a site.
4. Per San Bernardino Traffic Study Guidelines, Truck Mixes based on Fontana Study (Light Industrial land use), and PCES from San Bernardino City Traffic Study Guidelines
K:\SND_TPTO\195170026_Sierra Distribution Facility\ANALYSIS\EXCEL\[195395001TG.xlsm]Summary_154
Truck Breakdown
PCE Breakdown
Land Use Code 154
Table
Cajon Creek Trip Generation Summary
ITE Land
Use Code
3
Land Use: 154
High-Cube Transload and Short-Term
Storage Warehouse
Description
A high-cube warehouse (HCW) is a building that typically has at least 200,000 gross square feet
of floor area, has a ceiling height of 24 feet or more, and is used primarily for the storage and/
or consolidation of manufactured goods (and to a lesser extent, raw materials) prior to their
distribution to retail locations or other warehouses. A typical HCW has a high level of on-site
automation and logistics management. The automation and logistics enable highly-efficient
processing of goods through the HCW. A high-cube warehouse can be free-standing or located in
an industrial park.
The HCWs included in this land use include transload and short-term storage facilities. A
transload facility has the primary function of consolidation and distribution of pallet loads
(or larger) for manufacturers, wholesalers, or retailers. A transload facility typically has little
storage duration, high throughput, and its operations are high efficiency. A short-term HCW is a
distribution facility often with custom/special features built into the structure for the movement of
large volumes of freight with only short-term storage of products.
Some limited assembly and repackaging may occur within the facility.
A high-cube warehouse may contain a mezzanine. In a HCW setting, a mezzanine is a free-
standing, semi-permanent structure that is commonly supported by structural steel columns
and that is lined with racks or shelves. The gross floor area (GFA) values for the study sites in
the database for this land use do NOT include the floor area of the mezzanine. The GFA values
represent only the permanent ground-floor square footage.
The amount of office/employee welfare space that is provided within a HCW can be highly
variable but is typically an insignificant portion of the overall building square footage. Within the
trip generation database, common values are between 3,000 and 5,000 square feet for a Cold
Storage HCW and between 5,000 and 10,000 square feet for Transload, Fulfillment Center, and
Parcel Hub HCW (all of which are less than one percent of total GFA for a site). Therefore, for the
trip generation data plots, any office space that is part of the normal operation of the warehouse
is included in the total GFA.
Warehousing (Land Use 150), high-cube fulfillment center warehouse (Land Use 155), high-cube
parcel hub warehouse (Land Use 156), and high-cube cold storage warehouse (Land Use 157) are
related land uses.
The number of dock doors at a HCW is a potential independent variable. Future data
submissions should include that information.
146 Trip Generation Manual 11th Edition • Volume 3
Additional Data
The High-Cube Warehouse/Distribution Center-related land uses underwent specialized
consideration through a commissioned study titled “High-Cube Warehouse Vehicle Trip Generation
Analysis,” published in October 2016. The results of this study are posted on the ITE website at
http://library.ite.org/pub/a3e6679a-e3a8-bf38-7f29-2961becdd498.
The technical appendices provide supporting information on time-of-day distributions for this
land use. The appendices can be accessed through either the ITETripGen web app or the trip
generation resource page on the ITE website (https://www.ite.org/technical-resources/topics/trip-
and-parking-generation/).
The sites were surveyed in the 1980s, the 2000s, and the 2010s in Alberta (CAN), California,
Florida, Michigan, New Jersey, Texas, and Washington.
Source Numbers
331, 605, 619, 642, 645, 649, 739, 750, 752, 903, 904, 941, 942, 943, 969
147General Urban/Suburban and Rural (Land Uses 000–399)
High-Cube Transload and Short-Term Storage Warehouse(154)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday
Setting/Location:General Urban/Suburban
Number of Studies: 91
Avg. 1000 Sq. Ft. GFA:798
Directional Distribution: 50% entering, 50% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
1.40 0.20 - 4.32 0.86
Data Plot and Equation
0 1000 20000
1000
2000
3000
4000
5000
Average RateStudy Site
Fitted Curve Equation: Not Given R²= ***
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
148 Trip Generation Manual 11th Edition • Volume 3
High-Cube Transload and Short-Term Storage Warehouse(154)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 7 and 9 a.m.
Setting/Location:General Urban/Suburban
Number of Studies: 102
Avg. 1000 Sq. Ft. GFA:846
Directional Distribution: 77% entering, 23% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.08 0.01 - 0.31 0.05
Data Plot and Equation
0 1000 2000 30000
100
200
300
400
Average RateStudy Site
Fitted Curve Equation: Not Given R²= ***
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
149General Urban/Suburban and Rural (Land Uses 000–399)
High-Cube Transload and Short-Term Storage Warehouse(154)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 4 and 6 p.m.
Setting/Location:General Urban/Suburban
Number of Studies: 103
Avg. 1000 Sq. Ft. GFA:840
Directional Distribution: 28% entering, 72% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.10 0.00 - 0.25 0.06
Data Plot and Equation
0 1000 2000 30000
100
200
300
Average RateStudy Site
Fitted Curve Equation: Not Given R²= ***
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
150 Trip Generation Manual 11th Edition • Volume 3
High-Cube Transload and Short-Term Storage Warehouse(154)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
AM Peak Hour of Generator
Setting/Location:General Urban/Suburban
Number of Studies: 31
Avg. 1000 Sq. Ft. GFA:1048
Directional Distribution: 78% entering, 22% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.13 0.02 - 0.24 0.06
Data Plot and Equation
0 1000 2000 30000
100
200
300
400
500
Average RateStudy Site
Fitted Curve Equation: Not Given R²= ***
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
151General Urban/Suburban and Rural (Land Uses 000–399)
High-Cube Transload and Short-Term Storage Warehouse(154)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
PM Peak Hour of Generator
Setting/Location:General Urban/Suburban
Number of Studies: 34
Avg. 1000 Sq. Ft. GFA:1023
Directional Distribution: 34% entering, 66% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.17 0.07 - 0.31 0.06
Data Plot and Equation
0 1000 2000 30000
100
200
300
400
500
Average RateStudy Site
Fitted Curve Equation: Not Given R²= ***
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
152 Trip Generation Manual 11th Edition • Volume 3
High-Cube Transload and Short-Term Storage Warehou(154)
Truck Trip Ends vs:1000 Sq.Ft.GFA
On a:Weekday
Setting/Location:General Urban/Suburban
Number of Studies:57
Avg.1000 Sq.Ft.GFA:892
Directional Distribution:50%entering,50%exiting
Truck Trip Generation per 1000 Sq.Ft.GFA
Average Rate Range of Rates Standard Deviation
0.22 0.02 -0.74 0.16
Data Plot and Equation
800
X
000
X X
X
%CLI-l ><3E 400 """"""""""""""""""""""""""""""""""""""X I,’"""""""X ><><, I ’i—X /’/
X BS ’I I X
X X X X z / I
,
I
’'><X ><><,,’200 ,’X XX,,,XX X0X5;><><, I ’><,I ’><>><<>><<X ><X ><,/ I ><X ><XX X>§<X X X
0 0 1000 2000
x =1000 Sq.Ft.GFA
X Study Site —————Average Rate
Fitted Curve Equation:Not Given R2=***
High-Cube Transload and Short-Term Storage Warehou(154)
Truck Trip Ends vs:1000 Sq.Ft.GFA
On a:Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 7 and 9 a.m.
Setting/Location:General Urban/Suburban
Number of Studies:90
Avg.1000 Sq.Ft.GFA:812
Directional Distribution:49%entering,51%exiting
Truck Trip Generation per 1000 Sq.Ft.GFA
Average Rate Range of Rates Standard Deviation
0.02 0.00 -0.06 0.01
Data Plot and Equation
so
Xso
a X /’’ICzI
LLI z.3 ...........................................................................,1’................................'I 4°><, ,’c ><,/
X z /’
></’XX ’X X>< >< ><//’><><
20 ><)</’I
X XX X X ,’X X X
X 32 ,><>2<X ><,’><§/X X X X X X><>$<gig X X
5<><X >>8<<x ><X X X X \y XIX X
0 0 1000 2000 3000
x =1000 Sq.Ft.GFA
X Study Site —————Average Rate
Fitted Curve Equation:Not Given R2=***
High-Cube Transload and Short-Term Storage Warehou(154)
Truck Trip Ends vs:1000 Sq.Ft.GFA
On a:Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 4 and 6 p.m.
Setting/Location:General Urban/Suburban
Number of Studies:91
Avg.1000 Sq.Ft.GFA:807
Directional Distribution:47%entering,53%exiting
Truck Trip Generation per 1000 Sq.Ft.GFA
Average Rate Range of Rates Standard Deviation
0.01 0.00 -0.05 0.01
Data Plot and Equation
so
X
X
X
4o
XgLICJ><a ><i:><
ll X X
'_X X
X ,
,
»
20 X 'X '>§,I
,
,
/
.>2<X >§<X
X X XXX,IX’X §><>J£<,'><><><><,,,><>< >< >< ><, ,’>§<>§<>s<X X><><, , ,'><x
,>'<,XX >><<XX X22 X X X0>><<>22 ><0 1000 2000 3000
x =1000 Sq.Ft.GFA
X Study Site —————Average Rate
Fitted Curve Equation:Not Given R2=***
AM Peak‐Hour PM Peak‐Hour
Land Use Land Use as listed in ITE Units1 Trip Rate 2 Daily Trips % of ADT2 In:Out Ratio 2 In Out Total
% of ADT 2 In:Out Ratio 2 In Out Total
Driveway Trips
Proposed Vehicles
High‐Cube Fulfillment Center Warehouse High‐Cube Fulfillment Center Warehous 155 398 ksf 1.81 / ksf 720 8% 0.81 : 0.19 48 12 60 9% 0.39 : 0.61 25 39 64
Subtotal 720 48 12 60 25 39 64
Proposed Passenger Vehicles
High‐Cube Fulfillment Center Warehouse High‐Cube Fulfillment Center Warehous 155 398 ksf 1.58 / ksf 629 8% 0.85 : 0.15 44 8 52 10% 0.38 : 0.62 23 37 60
Proposed Trucks
High‐Cube Fulfillment Center Warehouse High‐Cube Fulfillment Center Warehous 155 398 ksf 0.23 / ksf 92 9% 0.50 : 0.50 448 4% 0.46 : 0.54 224
Truck Type Truck Mix4
2 Axle 33%30 4% 0.60 : 0.40 1 0 1 4% 0.50 : 0.50 1 1 2
3 Axle 18%16 4% 0.60 : 0.40 0 0 1 4% 0.50 : 0.50 1 1 2
4 Axle 49%45 4% 0.60 : 0.40 1 1 2 4% 0.50 : 0.50 1 1 2
Truck Subtotal 91 214 336
Truck Type Passenger Car Equivalent Rate
2 Axle 2 60 4% 0.60 : 0.40 1 1 2 4% 0.50 : 0.50 1 1 2
3 Axle 2.5 40 4% 0.60 : 0.40 1 1 2 4% 0.50 : 0.50 1 1 2
4 Axle 3 135 4% 0.60 : 0.40 3 2 5 4% 0.50 : 0.50 3 3 6
Truck Subtotal (PCE)235 649 5510
NET TRIP GENERATION =864 50 12 61 28 42 70
Note:
1. ksf = Thousand Square Feet
2. Trip rates references from ITE Trip Generation, 11th Edition.
3. Driveway trips are the total number of trips generated by a site.
4. Per San Bernardino Traffic Study Guidelines, Truck Mixes based on Fontana Study (Light Industrial land use), and PCES from San Bernardino City Traffic Study Guidelines
K:\SND_TPTO\195170026_Sierra Distribution Facility\ANALYSIS\EXCEL\[195395001TG.xlsm]Summary_155
Truck Breakdown
PCE Breakdown
Land Use Code 155 ‐ Non‐Sort
Table
Cajon Creek Trip Generation Summary
ITE Land
Use Code
3
157
Land Use: 155
High-Cube Fulfillment Center Warehouse
Description
A high-cube warehouse (HCW) is a building that typically has at least 200,000 gross square feet
of floor area, has a ceiling height of 24 feet or more, and is used primarily for the storage and/
or consolidation of manufactured goods (and to a lesser extent, raw materials) prior to their
distribution to retail locations or other warehouses. A typical HCW has a high level of on-site
automation and logistics management. The automation and logistics enable highly-efficient
processing of goods through the HCW. A high-cube warehouse can be free-standing or located in
an industrial park.
Warehousing (Land Use 150), high-cube transload and short-term storage warehouse (Land Use
154), high-cube parcel hub warehouse (Land Use 156), and high-cube cold storage warehouse
(Land Use 157) are related land uses.
Land Use Subcategory
Each fulfillment center in the ITE database has been categorized as either a sort or non-sort
facility. A sort facility is a fulfillment center that ships out smaller items, requiring extensive
sorting, typically by manual means. A non-sort facility is a fulfillment center that ships large box
items that are processed primarily with automation rather than through manual means. Separate
sets of data plots are presented for the sort and non-sort fulfillment centers. Some limited
assembly and repackaging may occur within the facility.
Additional Data
A high-cube warehouse may contain a mezzanine. In a HCW setting, a mezzanine is a free-
standing, semi-permanent structure that is commonly supported by structural steel columns
and that is lined with racks or shelves. The gross floor area (GFA) values for the study sites in
the database for this land use do NOT include the floor area of the mezzanine. The GFA values
represent only the permanent ground-floor square footage.
The amount of office/employee welfare space that is provided within a HCW can be highly
variable but is typically an insignificant portion of the overall building square footage. Within the
trip generation database, common values are between 3,000 and 5,000 square feet for a Cold
Storage HCW and between 5,000 and 10,000 square feet for Transload, Fulfillment Center, and
Parcel Hub HCW (all of which are less than one percent of total GFA for a site). Therefore, for the
trip generation data plots, any office space that is part of the normal operation of the warehouse
is included in the total GFA.
The High-Cube Warehouse/Distribution Center-related land uses underwent specialized
consideration through a commissioned study titled “High-Cube Warehouse Vehicle Trip Generation
Analysis,” published in October 2016. The results of this study are posted on the ITE website at
http://library.ite.org/pub/a3e6679a-e3a8-bf38-7f29-2961becdd498.
General Urban/Suburban and Rural (Land Uses 000–399)
The sites were surveyed in the 2000s and the 2010s in California, New Jersey, and Texas.
Source Numbers
752, 941, 1001, 1002, 1011
158 Trip Generation Manual 11th Edition • Volume 3
High-Cube Fulfillment Center Warehouse -Non-Sort(155)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday
Setting/Location:General Urban/Suburban
Number of Studies: 10
Avg. 1000 Sq. Ft. GFA:886
Directional Distribution: 50% entering, 50% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
1.81 0.88 - 3.34 0.76
Data Plot and Equation
0 1000 20000
1000
2000
3000
4000
Average RateStudy Site Fitted Curve
Fitted Curve Equation:T = 2.00(X) - 173.61 R²= 0.54
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
159General Urban/Suburban and Rural (Land Uses 000–399)
High-Cube Fulfillment Center Warehouse -Non-Sort(155)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 7 and 9 a.m.
Setting/Location:General Urban/Suburban
Number of Studies: 22
Avg. 1000 Sq. Ft. GFA:783
Directional Distribution: 81% entering, 19% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.15 0.03 - 0.62 0.15
Data Plot and Equation
0 1000 20000
100
200
300
400
Average RateStudy Site
Fitted Curve Equation: Not Given R²= ***
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
160 Trip Generation Manual 11th Edition • Volume 3
High-Cube Fulfillment Center Warehouse -Non-Sort(155)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 4 and 6 p.m.
Setting/Location:General Urban/Suburban
Number of Studies: 22
Avg. 1000 Sq. Ft. GFA:783
Directional Distribution: 39% entering, 61% exiting
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.16 0.01 - 0.62 0.15
Data Plot and Equation
0 1000 20000
100
200
300
400
Average RateStudy Site
Fitted Curve Equation: Not Given R²= ***
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
161General Urban/Suburban and Rural (Land Uses 000–399)
High-Cube Fulfillment Center Warehouse -Non-Sort(155)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
AM Peak Hour of Generator
Setting/Location:General Urban/Suburban
Number of Studies: 1
Avg. 1000 Sq. Ft. GFA:818
Directional Distribution: Not Available
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.22 0.22 - 0.22 ***
Data Plot and Equation Caution –Small Sample Size
0 200 400 600 800 10000
100
200
Average RateStudy Site
Fitted Curve Equation: Not Given R²= ***
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
162 Trip Generation Manual 11th Edition • Volume 3
High-Cube Fulfillment Center Warehouse -Non-Sort(155)
Vehicle Trip Ends vs: 1000 Sq. Ft. GFA
On a: Weekday,
PM Peak Hour of Generator
Setting/Location:General Urban/Suburban
Number of Studies: 1
Avg. 1000 Sq. Ft. GFA:818
Directional Distribution: Not Available
Vehicle Trip Generation per 1000 Sq. Ft. GFA
Average Rate Range of Rates Standard Deviation
0.27 0.27 - 0.27 ***
Data Plot and Equation Caution –Small Sample Size
0 200 400 600 800 10000
100
200
300
Average RateStudy Site
Fitted Curve Equation: Not Given R²= ***
X = 1000 Sq. Ft. GFA
T
=
T
r
i
p
s
E
n
d
s
163General Urban/Suburban and Rural (Land Uses 000–399)
High-Cube Fulfillment Center Warehouse -Non-Sort(155)
Truck Trip Ends vs:1000 Sq.Ft.GFA
On a:Weekday
Setting/Location:General Urban/Suburban
Number of Studies:10
Avg.1000 Sq.Ft.GFA:886
Directional Distribution:50%entering,50%exiting
Truck Trip Generation per 1000 Sq.Ft.GFA
Average Rate Range of Rates Standard Deviation
0.23 0.07 -0.89 0.20
Data Plot and Equation
600
400
Tr
i
p
s
En
d
s
\
\
T X
\
\
200 ''/X
0 1000 2000
X =1000 Sq.Ft.GFA
X Study Site —————Average Rate
R2:*urFittedCurveEquation:Not Given
High-Cube Fulfillment Center Warehouse -Non-Sort(155)
Truck Trip Ends vs:1000 Sq.Ft.GFA
On a:Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 7 and 9 a.m.
Setting/Location:General Urban/Suburban
Number of Studies:21
Avg.1000 Sq.Ft.GFA:782
Directional Distribution:50%entering,50%exiting
Truck Trip Generation per 1000 Sq.Ft.GFA
Average Rate Range of Rates Standard Deviation
0.02 0.00 -0.12 0.02
Data Plot and Equation
40
X
so ,
/ //X
a , /'LICJ ><x ,’.5 ..................><................................,rf ...................................................l;20 //I X
l—X //
X ,’
,//><><
/ /
1O / ,X X
/ / I X/X XX XX X
X X
0 0 1000 2000
x =1000 Sq.Ft.GFA
X Study Site —————Average Rate
Fitted Curve Equation:Not Given R2=***
High-Cube Fulfillment Center Warehouse -Non-Sort(155)
Truck Trip Ends vs:1000 Sq.Ft.GFA
On a:Weekday,
Peak Hour of Adjacent Street Traffic,
One Hour Between 4 and 6 p.m.
Setting/Location:General Urban/Suburban
Number of Studies:21
Avg.1000 Sq.Ft.GFA:782
Directional Distribution:46%entering,54%exiting
Truck Trip Generation per 1000 Sq.Ft.GFA
Average Rate Range of Rates Standard Deviation
0.01 0.00 -0.05 0.01
Data Plot and Equation
30
X
X
X
20 '
ll)‘ULICJU,X
.9-‘i-‘,,
||,’l—,,'><,,x’
X XX ,/’
10 .,
/
,
X ,/t X
/’ ’X>< ><x/’><
»X
X
X
0 0 1000 2000
X =1000 Sq.Ft.GFA
X Study Site —————Average Rate
R2:*urFittedCurveEquation:Not Given
Traffic Impact Analysis -14-Al 2008
Preparation Guide
Exhibit A
SCOPING AGREEMENT FOR TRAFFIC IMPACT STUDY
This letter acknowledges the Riverside County Transportation Department requirements for traffic
impact analysis of the following project. The analysis must follow the Riverside County Transportation
Department Traffic Study Guidelines dated February 2005.
Case No. (i.e. TR, PM, CUP, PP)
Related Cases -
SP No. Provide SP No. and list of other approved or active projects within the SP.
EIR No.
GPA No.
CZ No.
Project Name:
Project Address:
Project Description:
Consultant Developer
Name:
Address:
Telephone:
Fax:
A. Trip Generation Source: (ITE 7th Edition or other)
Current GP Land Use Provide General Plan Land
Use Designation (e.g.: MDR,
CR, etc)
Proposed Land Use
Current Zoning Proposed Zoning
Current Trip Generation Proposed Trip Generation
In Out Total In Out Total
AM Trips
PM Trips
Internal Trip Allowance Yes No (% Trip Discount)
Pass-By Trip Allowance Yes No (% Trip Discount)
A pass-by trip discount is allowed for appropriate land uses per ITE trip generation handbook 3rd
edition. The pass-by trips at adjacent study area intersections and project driveways shall be
indicated on a report figure. (Attach table for detailed trip generation)
B.Trip Geographic Distribution:N % S % E % W %
(attach exhibit for detailed assignment)
C. Background Traffic
Project Opening & Future Build-Out Year:
Phase Year(s) _________________
Annual Ambient Growth Rate: %
Other area projects to be analyzed:
Model/Forecast methodology
October 2020
Traffic Impact Analysis -5-October 2019
Preparation Guide
Exhibit B – Scoping Agreement – Page 2
D. Study intersections: (NOTE: Subject to revision after other projects, trip generation and distribution
are determined, or comments from other agencies.)
1.
2.
3.
4.
5.
E. Study Roadway Segments: (NOTE: Subject to revision after other projects, trip generation and
distribution are determined, or comments from other agencies.)
1.
2.
3.
4.
5.
E. Other Jurisdictional Impacts
Is this project within a City’s Sphere of Influence or one-mile radius of City boundaries? Yes No
If so, name of City Jurisdiction:
F. Site Plan (please attach reduced copy)
G. Specific issues to be addressed in the Study (in addition to the standard analysis described
in the Guideline) (To be filled out by Transportation Department)
(NOTE: If the traffic study states that “a traffic signal is warranted” (or “a traffic signal appears to be warranted,” or
similar statement) at an existing unsignalized intersection under existing conditions, 8-hour approach traffic volume
information must be submitted in addition to the peak hourly turning movement counts for that intersection.)
H. Existing Conditions
Traffic count data must be new or recent. Provide traffic count dates if using other than new counts.
Date of counts______________________________________________________________________
*NOTE* Traffic Study Submittal Form and appropriate fee must be submitted with, or prior to
submittal of this form. Transportation Department staff will not process the Scoping
Agreement prior to receipt of the fee.
Recommended by:
______________________________ _________
Consultant’s Representative Date
Scoping Agreement Submitted on _____________
Revised on ___________________
Approved Scoping Agreement:
_________________________
________ Riverside Count
6.
7.
8.
9.
10.
6.
7.
8.
9.
10.
1
Shultz, Joe
From:Karadimos, Meghan
Sent:Monday, December 19, 2022 9:56 AM
To:Shultz, Joe
Cc:Burnett, Candyce
Subject:FW: (MCN22-104) FW: Trip Generation Assessment and Traffic Scoping for the Proposed Sierra
Distribution Facility
Attachments:Sierra Distribution Center_Trip Generation Assessment_2022.08.16.pdf
FYI, see below.
Meghan D. Karadimos
Kimley-Horn
Direct: 951 335 8283
From: Irene Romero <iromero@fontana.org>
Sent: Monday, December 19, 2022 7:44 AM
To: Karadimos, Meghan <Meghan.Karadimos@kimley‐horn.com>
Cc: Burnett, Candyce <Candyce.Burnett@kimley‐horn.com>; Irene Romero <iromero@fontana.org>; Delia Votsch
<dvotsch@fontana.org>
Subject: (MCN22‐104) FW: Trip Generation Assessment and Traffic Scoping for the Proposed Sierra Distribution Facility
Hello Meghan,
The Trip Generation memo was reviewed by Engineering and concluded no further LOS or VMT analysis is required.
Thank you,
Irene Romero
Associate Planner • Planning
City of Fontana • 8353 Sierra Ave • Fontana, CA 92335
iromero@fontana.org • Office: (909) 350‐6658
This email contains material that is CONFIDENTIAL and/or PRIVILEGED and for the sole use of the intended recipient. Any review,
distribution or forwarding without express permission is prohibited. If you are not the intended recipient, please contact the sender and
delete all copies. Thank you
This email has been scanned for viruses and malware, and may have been automatically archived.
From: Karadimos, Meghan <Meghan.Karadimos@kimley‐horn.com>
Sent: Wednesday, December 14, 2022 3:01 PM
To: Delia Votsch <dvotsch@fontana.org>
You don't often get email from iromero@fontana.org. Learn why this is important