Estimating Total Demand and Benchmarking Base Price for Student Parking on University Campuses
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 10
Abstract
Most universities limit the number of student parking permits and use their prices to moderate the parking demand. Two critical inputs for implementing such a practice are: (1) the total demand (number of students who will purchase parking permits in a 12-month academic year); and (2) the single, campus-wide base price of student parking permits, benchmarked against other universities. Parking, demographic, and economic statistics were gathered from 208 universities across the United States to calibrate and validate a Beta regression total demand model and a Tobit regression base price model. Three case studies are then presented to illustrate the applications of the models. The first case study compared the models’ solutions against parking management practices at four random selected university campuses; whereas the second case study applied the models to a university to forecast the total demand and the base price in the future. In the third case study, the Monte Carlo simulation technique was adopted to handle uncertainties in the independent variables in the forecasts.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request (spreadsheet of university lists with the parameters, the model details).
Acknowledgments
This work is funded partially by a grant from the US Department of Transportation’s University Transportation Centers Program.
Disclaimer
The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented herein. This document is disseminated in the interest of information exchange. The US Government assumes no liability for the contents or use thereof.
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
References
AAA (American Automobile Association). 2017. “American driving survey.” Accessed September 18, 2019. https://newsroom.aaa.com/tag/american-driving-survey.
AASHE (Association for the Advancement of Sustainability in Higher Education). 2018. “STARS participants and reports.” Accessed April 15, 2019. http://www.aashe.org.
Altintasi, O., and H. Tuydes-Yaman. 2016. “Best option for reducing on-campus private car-based emissions: Reducing VKT or congestion?” METU J. Faculty Archit. 33 (1): 87–105. https://doi.org/10.4305/METU.JFA.2016.1.4.
Anastasopoulos, P. C., A. P. Tarko, and F. L. Mannering. 2008. “Tobit analysis of vehicle accident rates on interstate highways.” Accid. Anal. Prev. 40 (2): 768–775. https://doi.org/10.1016/j.aap.2007.09.006.
Bin Islam, M., and S. Hernandez. 2016. “Fatality rates for crashes involving heavy vehicles on highways: A random parameter Tobit regression approach.” J. Transp. Saf. Secur. 8 (3): 247–265. https://doi.org/10.1080/19439962.2015.1027071.
Bridgelall, R. 2014. “Campus parking supply impacts on transportation mode choice.” Transp. Plann. Technol. 37 (8): 711–737. https://doi.org/10.1080/03081060.2014.959354.
Chai, H., R. Ma, and H. M. Zhang. 2017. “Search for parking: A dynamic parking and route guidance system for efficient parking and traffic management.” In Proc., Transportation Research Board 96th Annual Meeting. Washington, DC: Transportation Research Board.
Chaniotakis, E., and A. J. Pel. 2015. “Drivers’ parking location choice under uncertain parking availability and search times: A stated preference experiment.” Transp. Res. Part A: Policy Pract. 82: 228–239. https://doi.org/10.1016/j.tra.2015.10.004.
Chen, Z., Z. Xu, M. Zangui, and Y. Yin. 2016. “Analysis of advanced management of curbside parking.” Transp. Res. Rec. 2567 (1): 57–66. https://doi.org/10.3141/2567-07.
Chester, M., A. Horvath, and S. Madanat. 2011. “Parking infrastructure and the environment.” Accessed November 15, 2019. http://escholarship.org/uc/item/16r4t7p7.pdf.
College Board. 2018. “Campus life.” Accessed November 15, 2019. https://www.collegeboard.org.
College Data. 2018. “College profile.” Accessed November 15, 2018. https://www.collegedata.com.
CPTA (Campus Parking and Transportation Association). 2018. “Campus parking and transportation association.” Accessed November 23, 2019. https://www.cptaonline.org.
CSULB (California State University at Long Beach). 2017. “Annual report 2016–2017.” Accessed September 18, 2019. http://www.csulb.edu/sites/default/files/u26246/parking-annual-report-fy16-17.pdf.
Ferrari, S., and F. Cribari-Neto. 2004. “Beta regression for modelling rates and proportions.” J. Appl. Stat. 31 (7): 799–815. https://doi.org/10.1080/0266476042000214501.
GMU (George Mason University). 2018. “Parking and transportation overview.” Accessed September 18, 2019. http://transportation.gmu.edu/wp-content/uploads/PT-Budget-and-Program-Overview-Aug-2015-081015-final.pdf.
GSA (General Services Administration). 2018. “Per diem rates.” Accessed December 15, 2018. https://www.gsa.gov/travel/plan-book/per-diem-rates.
Guo, L., S. Huang, and A. W. Sadek. 2013. “A novel agent-based transportation model of a university campus with application to quantifying the environmental cost of parking search.” Transp. Res. Part A: Policy Pract. 50: 86–104. https://doi.org/10.1016/j.tra.2013.01.045.
Inci, E., J. V. Ommeren, and M. Kobus. 2017. “The external cruising costs of parking.” J. Econ. Geogr. 17 (6): 1301–1323. https://doi.org/10.1093/jeg/lbx004.
Isler, E., L. Hoel, and M. Fontaine. 2005. “Innovative parking management strategies for universities: Accommodating multiple objectives in a constrained environment.” In Proc., Annual Meetings of the Transportation Research Board. Washington, DC: Transportation Research Board.
Israel, G. D. 1992. Determining sample size. Gainesville, FL: Univ. of Florida Cooperative Extension Service.
ITE Technical Council Committee. 2005. Parking generation. Washington, DC: ITE Technical Council Committee.
Kaplan, D. H. 2015. “Transportation sustainability on a university campus.” Int. J. Sustainability Higher Educ. 16 (2): 173–186. https://doi.org/10.1108/IJSHE-03-2013-0023.
McTish, P., S. Park, and L. Schwarz. 2016. “Efforts in transportation sustainability: Case study of Villanova University.” In Proc., Int. Conf. on Transportation and Development. Reston, VA: ASCE.
NCES (National Center for Educational Statistics). 2017. “College navigator.” Accessed October 20, 2019. https://nces.ed.gov.
PALISADE. 2018. “@ Risk 5.x tutorials.” Accessed November 20, 2019. https://www.palisade.com/risk/5/tips/en/gs.
Proulx, F., B. Cavagnolo, and M. Torres-Montoya. 2019. “Impact of parking prices and transit fares on mode choice at the University of California, Berkeley.” Transp. Res. Rec. 2469 (1): 41–48. https://doi.org/10.3141/2469-05.
Riggs, W. 2014. “Dealing with parking issues on an urban campus: The case of UC Berkeley.” Case Stud. Transp. Policy 2 (3): 168–176. https://doi.org/10.1016/j.cstp.2014.07.009.
Shoup, D. 2005. Parking on a smart campus. Los Angeles: UCLA Luskin School of Public Affairs.
Shoup, D. 2017. The high cost of free parking: Updated edition. New York: Routledge.
STATA. 2017. “STATA user’s guide.” Accessed July 20, 2019. https://www.stata.com/manuals/u.pdf.
Sultana, S. 2015. “Factors associated with students’ parking-pass purchase decisions: Evidence from an American university.” Transp. Policy 44: 65–75. https://doi.org/10.1016/j.tranpol.2015.07.002.
Sun, Y., W. Fan, and P. Schonfeld. 2016. “Static parking choice model with consideration of parking duration.” Transp. Res. Rec. 2543 (1): 134–142. https://doi.org/10.3141/2543-15.
TAMU (Texas A&M University). 2018. “Budget facts and figures.” Accessed September 18, 2019. http://transport.tamu.edu/About/budget.aspx.
Tobin, J. 1958. “Estimation of relationships for limited dependent variables.” Econometrica 26 (1): 24–36. https://doi.org/10.2307/1907382.
TTU (Texas Tech University). 2018. “Where your dollar goes?” Accessed September 18, 2019. https://www.depts.ttu.edu/parking/Resources/Transparency/WhereYourDollarGoes.php.
USDOT. 2018. “Transportation statistics annual report.” Accessed June 13, 2019. https://www.bts.gov/sites/bts.dot.gov/files/docs/browse-statistical-products-and-data/transportation-statistics-annual-reports/TSAR-Full-2018-Web-Final.pdf.
US News. 2018. “Higher education-colleges.” Accessed April 15, 2019. https://www.usnews.com.
Wanke, P., C. P. Barros, and O. Figueiredo. 2016. “Efficiency and productive slacks in urban transportation modes: A two-stage SDEA-Beta regression approach.” Utilities Policy 41: 31–39. https://doi.org/10.1016/j.jup.2016.04.007.
Weather Channel. 2018. “Monthly weather.” Accessed November 15, 2019. https://weather.com.
Xiao, J., Y. Lou, and J. Frisby. 2017. “How likely am I to find parking? Stochastic models of parking process and probabilistic estimation of parking availability.” In Proc., Transportation Research Board 96th Annual Meeting. Washington, DC: Transportation Research Board.
Zhang, X., H. Yang, and H. J. Huang. 2011. “Improving travel efficiency by parking permits distribution and trading.” Transp. Res. Part B: Methodol. 45 (7): 1018–1034. https://doi.org/10.1016/j.trb.2011.05.003.
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© 2020 American Society of Civil Engineers.
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Received: Apr 8, 2020
Accepted: Jun 1, 2020
Published online: Aug 4, 2020
Published in print: Oct 1, 2020
Discussion open until: Jan 4, 2021
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