Summary of Findings: Parking and Trip Generation Study For Coffee/Donut Shops with Drive-Through Window. District 5 Tennessee Section: Memphis, TN

Transcription

1 Summary of Findings: Parking and Trip Generation Study For Coffee/Donut Shops with Drive-Through Window District 5 Tennessee Section: Memphis, TN Submitted to: Ed Stollof, AICP Institute of Transportation Engineers Senior Director, Safety Programs th Street NW, Suite 3 West Washington, DC 25 Phone: (22) x 132 estollof@ite.org Submitted by: University of Memphis ITE Student Chapter University of Memphis Department of Civil Engineering 1 Engineering Sciences Bldg. Memphis, TN Phone: (91) Fax: (91) ITE Student Chapter Contact: Navid Jafari ITE Student Chapter President Submitted: May 15, 29

2 Introduction The objective of this study is to collect relevant trip generation data for transportation engineers and planners to supplement data in the ITE Trip Generation Manual. Students from The University of Memphis ITE Student Chapter as well as the CIVL 3161 Transportation Systems Engineering course collected data to determine trip generation and parking demand for Coffee/Donut shops with drive-through windows, land use code 937. Description of Study Sites The University of Memphis (U of M) ITE Student Chapter and the CIVL 3161 class conducted a study of a single Coffee/Donut shop with drive-through window. The name of the site is undisclosed in this report at the request of the owner. The site was chosen due to the willingness of the owner to work with the students and the site s proximity to the U of M campus. The site is also a free-standing facility with identifiable parking. The site is located in an outparcel to a shopping center and does share parking with other businesses within this center. However, the facility is located in the far corner of the shopping center away from other tenants. The other tenants of the shopping center (i.e. fabric store, travel agent, and an upscale gift shop) do not generate a large number of trips, and the parking area is rarely filled to capacity. Since there was a clear delineation between parking areas used by the various businesses in the shopping center, it was possible to obtain accurate collection of trip and parking data. This facility is located in Memphis, Tennessee in an area with significant retail/service traffic. It is located just off of Poplar Avenue, which is a principal arterial in the Memphis area. The facility open hours include weekdays from 6: AM until 11: PM, 7: AM until 1: PM on Saturdays, and : AM until 1: PM on Sundays. Coffee is the primary product sold at the site, along with other beverages, pastries, and coffee/tea accessories. Additional facility information for the selected site is given in Table 1. Table 1. Facility Information Normalizing Factors Coffee Shop with Drive-thru Site Size (sq. ft.) Part-Time Employees Full-Time Employees Number of Seats Available 2 Parking Spaces Available 3 Methodology Participating students were assigned to a team to distribute and facilitate the amount of man-hours needed to conduct the study efficiently. The project management team located sites that fit the proposal criteria: 1) the site must be a Coffee/Donut shop with a drive-through window and 2) the owner/operator must be willing to allow the study to be conducted. The scheduling team coordinated the data collection process to ensure proper data collection periods and student assignments. The data compilation team collected all data from individual students and summarized it on required ITE forms and in a spreadsheet format. The summary team prepared the draft abstract for submission to ITE. The review team ensured that all ITE specifications and reporting requirements were met. Both weekday adjacent street and facility peak hour trip generation and parking data were collected for the selected site. The weekday peak hour data was collected from both 7: to 9: AM and : to 6: PM, on a Tuesday, Wednesday, and Thursday. Also, parking counts were conducted hourly from 7: AM until 7: PM on each weekday. The facility peak hours were 2

3 identified by the manager of the site as 7:3 to 1: AM on Thursday and Friday. Consequently, data was collected during this period on two additional weekdays, with parking data also obtained during these time periods. Trip generation and parking demand data was not collected on days with bad weather or during weeks when the U of M or the local school systems had spring break. Trip and Parking Data Summary The following figures and tables show a summary of data collected for the Coffee/Donut shop with drive-through window. Average values are based on three days of data collection for weekday counts, and two days for facility peak hour counts. Weekday data collection for this site took place on Wednesday, February 25, Thursday February 26, and Tuesday, March 3, 29. Facility peak data was collected on March and March 22, 29. Tables 2 through and Figures 1 through 3 present the trip generation and parking demand data for the site. Table 2. Average Weekday Peak Hour Trip Generation Weekday Facility Peak Peak Hour 7:3-:3 AM :5-5:5 PM or 5:-6: PM 7:3-:3 AM or 7:5-:5 AM / / /99 Average Rate per sq. feet Average Rate per Seat Number of Vehicles :-7:15 7:15-7:3 7:3-7:5 7:5-: :-:15 :15-:3 :3-:5 :5-9: Time (15 min. period) Figure 1. Average Weekday Peak Hour Data, 7: to 9: AM 3

4 Number of Vehicles :-:15 :15-:3 :3-:5 :5-5: 5:-5:15 5:15-5:3 5:3-5:5 5:5-6: Time (15 min. periods) Figure 2. Average Weekday Peak Hour Data, : to 6: PM Table 3. Average Weekday Parking Demand, 7: AM to 7: PM Time # of Vehicles 7: 3 : 5 9: 7 1: 11: 9 : 7 1: 15 2: 9 3: 1 : 9 5: 6: 6 7: 7

5 Number of Vehicles :3-7:5 7:5-: :-:15 :15-:3 :3-:5 :5-9: 9:-9:15 9:15-9:3 9:3-9:5 9:5-1: Time (15 min. periods) Figure 3. Average Facility Peak Hour Data, 7:3 to 1: AM Thursday and Friday Table. Average Facility Peak Parking Demand, : AM to 1: AM Time # of Vehicles : 9: 5 1: Conclusions The average weekday morning peak hour occurs from 7:3 to :3 AM. The average weekday afternoon peak hour occur from either :5 to 5:5 PM or 5: to 6: PM. The facility peak hours occur from either 7:3 to :3 AM or 7:5 to :5 AM. For the average morning peak hour, the average rate per 1 sq. feet falls in the range of rates provided by previous studies from the ITE Trip Generation manual. For the afternoon peak hour, the average rate per 1 sq. feet is slightly higher than the range of rates provided by the ITE Trip Generation Manual. The average rate per seat for both morning and afternoon peak hour fall in the range of rates. Acknowledgements The students of the U of M ITE student chapter and CIVL 3161 class would like to thank their professional mentor, Greg Dotson, for his assistance in preparing for this project and in reviewing the data and abstract. The students would also like to thank Ed Stollof, ITE Senior Director for Safety programs, Karen Aspelin, Senior Transportation Engineer with Vector Engineering LLC., and the committee of ITE Technical Council members overseeing the grant process for the opportunity to participate in this project. The students involved in data collection process obtained practical experience relating to topics discussed in the CIVL 3161 course. 5