TRIP GENERATION AND PARKING GENERATION DATA COLLECTION

SAN LUIS OBISPO WINE COUNTRY ASSOCIATION

INSTITUTE OF TRANSPORTATION ENGINEERS

California Polytechnic State University, San Luis Obispo

Student Chapter

Spring 2014

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TABLE OF CONTENTS

Background .................................................................................................................. 2

Data Collection ............................................................................................................ 3

Results: Trip Generation ............................................................................................... 4

Results: Parking Generation ......................................................................................... 6

Results: Mode Split ....................................................................................................... 7

Analysis: Trip Rate ....................................................................................................... 7

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BACKGROUND

The ITE Student Chapter at Cal Poly San Luis Obispo proposed a trip generation and parking demand study at wineries in order to collect data for this underrepresented land use. The Student Chapter entered into an agreement with the San Luis Obispo Wine Country Association (SLOWCA) to perform data collection on multiple wineries. Figure 1 shows a map of all the wineries in SLOWCA. Because there is no land use classification for wineries in the ITE Trip Generation Manual, the independent variables that are most influential are unknown. An initial study was conducted with the help of students enrolled in CE 322, the Fundamentals of Transportation Engineering laboratory class. These students visited five winery sites where they collected preliminary data about independent variables. Three sites were chosen to perform day-long data collection.

FIGURE 1: MAP OF SLOWCA

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All three wineries are located in the Edna Valley in San Luis Obispo County, California. Table 1 describes the relevant independent variables at each of the three winery sites:

TABLE 1: INDEPENDENT VARIABLES FOR EACH WINERY Winery A Winery B Winery C Total Employees 31 18 4 Tasting Room GFA 2000 ft2 1000 ft2 180 ft2

Vineyard Acreage 90 0.07 2.2 Total Acreage 270 2.5 5 Note: Vineyard and Total Acreages are based upon only the parcel of land on which the tasting room is located.

DATA COLLECTION

On Saturday, April 5, 2014, 19 volunteers from the Student Chapter collected data at the three sites. Data was collected continuously from about 7am to 7pm. Data was collected on the following items: vehicle trips, bicycle trips, pedestrian trips, truck trips, parking occupancy, and adjacent street traffic. Trips to the site and adjacent street traffic were collected for 11 hours and parking occupancy was collected for 12 hours. Figure 2 shows two student volunteers collecting data at one of the wineries. Because the official data collection took place in early April, the data included in this report is to be considered representative of the wineries’ “shoulder season” as opposed to the “peak season”, which takes place from about May-September.

FIGURE 2: ITE STUDENT CHAPTER MEMBERS COLLECTING DATA

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RESULTS: TRIP GENERATION

Figure 3 shows the trips generated by all vehicles* over the day (Saturday) at each winery:

*”All vehicles” refers to all motorized modes.

0

5

10

15

20

25

30

35

7:00 AM 8:00 AM 9:00 AM 10:00 AM 11:00 AM 12:00 PM 1:00 PM 2:00 PM 3:00 PM 4:00 PM 5:00 PM

Number of Trips by All Vehicles

Hour of Day

Figure 3: Trip Generation of All Vehicles

Winery A Winery B Winery C

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Tables 2a-2c summarize the number of trips during the peak hour observed at each winery:

TABLE 2A: NUMBER OF TRIPS BY MODE DURING PEAK HOUR AT WINERY A Vehicle Trips Bicycle Trips Pedestrian Trips Truck Trips # of Trips During Peak Hour

34 6 0 1

Observed Peak Hour

3:30-4:30 PM 10:30-11:30 AM N/A 3:30-4:30 PM and 4:30-5:30 PM

TABLE 2B: NUMBER OF TRIPS BY MODE DURING PEAK HOUR AT WINERY B Vehicle Trips Bicycle Trips Pedestrian

Trips Truck Trips

# of Trips During Peak Hour

56 15 2 2

Observed Peak Hour

1:30-2:30 PM 12:45-1:45 PM 12:00-1:00 PM and 2:00-3:00 PM

2:30-3:30 PM

TABLE 2C: NUMBER OF TRIPS BY MODE DURING PEAK HOUR AT WINERY C Vehicle Trips Bicycle Trips Pedestrian

Trips Truck Trips

# of Trips During Peak Hour

37 2 3 2

Observed Peak Hour

11:45 AM -12:45 PM

4:00-5:00 PM 4:00-5:00 PM 11:00 AM – 12:00 PM and 1:15-2:15 PM

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RESULTS: PARKING GENERATION

Figure 4 shows the number of parked vehicles over the day at each winery:

Table 3 summarizes the peak parking occupancy at each site:

TABLE 3: PEAK HOUR PARKING OCCUPANCY AT EACH WINERY Winery A Winery B Winery C Parking Occupancy 30 37 25 Observed Peak Hour 4:00-5:00 PM 3:00-4:00 PM 4:00-5:00 PM

0

5

10

15

20

25

30

35

40

7:00 AM 8:00 AM 9:00 AM 10:00 AM 11:00 AM 12:00 PM 1:00 PM 2:00 PM 3:00 PM 4:00 PM 5:00 PM 6:00 PM

Number of Parked Veh

icles

Hour of Day

Figure 4: Parked Vehicles

Winery A Winery B Winery C

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RESULTS: MODE SPLIT

Table 4 summarizes the percentage of each mode:

TABLE 4: MODE SPLIT AT EACH WINERY Winery A Winery B Winery C Vehicle 96% 89% 93% Bicycle 3% 9% 1% Pedestrian 0% 1% 2% Truck 1% 1% 4%

ANALYSIS: TRIP RATE

Table 5 summarizes the vehicle trip rates for each of the four independent variables from Table 1. This table was generated by dividing the number of peak hour vehicle trips from Tables 2A-2C by the independent variable values from Table 1.

TABLE 5: TRIP RATES FOR EACH INDEPENDENT VARIABLE Winery A Winery B Winery C Total Employees 1.1 3.1 9.3 Tasting Room GFA 0.017 0.056 0.21 Vineyard Acreage 0.38 800 17 Total Acreage 0.13 22 7.4 Note: Units by row are trips/employee, trips/ft2, trips/acre, and trips/acre, respectively.

APPENDICES

Bicycle and Pedestrian Counts at Driveway

Enter Exit Enter Exit

7:00 AM 0 0 0 0

8:00 AM 0 0 0 0

9:00 AM 0 0 0 0

10:00 AM 3 0 0 0

11:00 AM 0 3 0 0

12:00 PM 0 0 0 0

1:00 PM 0 0 0 0

2:00 PM 0 0 0 0

3:00 PM 0 0 0 0

4:00 PM 0 0 0 0

5:00 PM 0 0 0 0

Enter Exit Enter Exit

7:00 AM 0 0 0 0

8:00 AM 0 0 0 0

9:00 AM 0 0 0 0

10:00 AM 0 2 0 0

11:00 AM 0 0 0 0

12:00 PM 4 1 1 1

1:00 PM 14 0 0 0

2:00 PM 0 0 2 0

3:00 PM 0 0 0 0

4:00 PM 0 2 0 0

5:00 PM 0 10 0 0

Enter Exit Enter Exit

7:00 AM 0 0 0 0

8:00 AM 0 0 0 0

9:00 AM 0 0 0 0

10:00 AM 0 0 0 0

11:00 AM 0 0 0 0

12:00 PM 0 0 0 0

1:00 PM 0 0 0 0

2:00 PM 0 0 0 0

3:00 PM 0 0 0 0

4:00 PM 2 0 3 0

5:00 PM 0 0 0 0

Time of 

Day

Bicycles Pedestrians

Winery B

Time of 

Day

Bicycles Pedestrians

Winery A

Time of 

Day

Bicycles Pedestrians

Winery C

Time of Day All Vehicles Trucks Bicycles Pedestrians7:15 AM 13 0 0 07:30 AM 20 0 0 07:45 AM 13 0 0 08:00 AM 20 0 0 08:15 AM 33 0 0 08:30 AM 33 1 0 18:45 AM 33 0 1 09:00 AM 34 0 0 19:15 AM 22 0 0 09:30 AM 17 0 0 09:45 AM 38 0 0 0

10:00 AM 58 0 1 010:15 AM 50 0 0 010:30 AM 38 0 0 010:45 AM 29 0 7 011:00 AM 43 0 4 011:15 AM 51 0 2 011:30 AM 41 1 2 011:45 AM 39 1 1 012:00 PM 46 1 1 012:15 PM 43 1 1 012:30 PM 38 1 0 012:45 PM 52 1 0 0

1:00 PM 48 1 1 01:15 PM 41 0 0 01:30 PM 43 1 0 01:45 PM 33 0 3 02:00 PM 44 0 0 02:15 PM 41 1 0 02:30 PM 34 0 0 02:45 PM 59 0 0 03:00 PM 49 0 0 03:15 PM 51 0 1 03:30 PM 49 1 1 03:45 PM 45 0 0 04:00 PM 34 0 0 04:15 PM 29 0 0 04:30 PM 36 1 0 04:45 PM 42 0 0 05:00 PM 64 0 0 05:15 PM 39 0 0 05:30 PM 22 0 0 05:45 PM 31 0 1 06:00 PM 24 0 0 0

Adjacent Street Traffic - Winery A

Time of Day All Vehicles Trucks Bicycles Pedestrians

7:00 AM 0 0 0 0

7:15 AM 8 0 0 2

7:30 AM 8 0 0 0

7:45 AM 14 0 2 0

8:00 AM 19 0 0 2

8:15 AM 17 0 0 0

8:30 AM 21 1 0 1

8:45 AM 33 0 2 6

9:00 AM 40 0 1 3

9:15 AM 41 0 1 7

9:30 AM 27 0 3 1

9:45 AM 25 0 2 0

10:00 AM 28 9 2

10:15 AM 27 1 2

10:30 AM 23 9 0

10:45 AM 25 1 2

11:00 AM 23 4 1

11:15 AM 23 0 2

11:30 AM 34 2 1

11:45 AM 40 2 2

12:00 PM 38 1 1

12:15 PM 32 3 0

12:30 PM 37 1 2

12:45 PM 27 3 0

1:00 PM 36 1 2 0

1:15 PM 35 0 5 1

1:30 PM 45 0 11 0

1:45 PM 46 0 0 0

2:00 PM 25 1 3 2

2:15 PM 48 2 1 0

2:30 PM 42 0 0 0

2:45 PM 42 2 0 0

3:00 PM 41 1 0 0

3:15 PM 46 3 1 0

3:30 PM 38 2 0 0

3:45 PM 40 3 0 0

4:00 PM 39 2 1 0

4:15 PM 47 1 1 0

4:30 PM 51 1 0 0

4:45 PM 49 3 3 0

5:00 PM 46 0 10 0

5:15 PM 44 1 0 0

5:30 PM 43 1 0 0

5:45 PM 30 2 0 0

Adjacent Street Traffic ‐ Winery B

Note: From 10AM ‐ 1PM, data on trucks is not available.

Time of Day All Vehicles Trucks Bicycles Pedestrians7:00 AM 17 1 0 07:15 AM 24 2 0 07:30 AM 29 4 0 07:45 AM 24 2 0 08:00 AM 31 1 0 08:15 AM 37 5 2 08:30 AM 37 1 0 08:45 AM 69 2 1 09:00 AM 68 1 7 09:15 AM 67 2 1 09:30 AM 55 1 5 29:45 AM 62 2 4 0

10:00 AM 57 0 2 010:15 AM 78 1 0 010:30 AM 67 3 2 110:45 AM 77 2 6 011:00 AM 103 3 9 011:15 AM 78 2 2 011:30 AM 86 3 1 111:45 AM 90 2 6 112:00 PM 72 1 2 012:15 PM 91 0 0 012:30 PM 74 1 0 012:45 PM 90 1 2 0

1:00 PM 115 3 0 01:15 PM 90 1 3 11:30 PM 96 2 2 01:45 PM 94 0 1 02:00 PM 93 2 0 02:15 PM 96 3 1 02:30 PM 95 2 1 02:45 PM 76 3 0 03:00 PM 79 0 0 03:15 PM 87 1 0 03:30 PM 87 2 4 03:45 PM 64 0 0 04:00 PM 68 1 2 54:15 PM 57 2 0 04:30 PM 61 0 0 04:45 PM 55 0 1 05:00 PM 91 1 0 05:15 PM 69 0 0 05:30 PM 77 0 0 05:45 PM 63 0 0 0

Adjacent Street Traffic - Winery C

VOLUNTEERS

We would like to thank all of the student volunteers who participated in the data collection:

Graham Bultema Kevin Carstens Alex Chambers Blake Chan-Lemley Luis Descanzo Victoria Edington Ashley Kim Nina Levine Travis Low Alex Negi Cameron Nye Thomas Park Erik Pinuelas Audrey Rempher Kati Ritter Kaylinn Roseman Andrew Scales Kayla Smith Alex Zhang