A STUDY OF SHOPPING TRIP PARKING BEHAVIOR USING CHOICE MODEL
Keywords:
Parking behavior, choice model, stated preference, random utilityAbstract
To establish an effective parking management policy, it is essential to understand how drivers make their decision on parking. This study models the parking choice behavior of drivers who make a shopping trip to Siam Square, Bangkok, Thailand. The parameters are estimated from the result of stated preference questionnaires in the form of utility function. Data were successfully collected from 228 decisions of 76 respondents. The study found that the drivers who park from 0 to 3 h make decisions based on similar factors and sensitivity. The most influential factors included the parking fee and walking distance. Meanwhile the long-term parking decisions were based on the aforementioned 2 attributes and also the search time.
References
Axhausen, K.W. and Polak, J.W. (1991). Choice of parking: stated preference approach. Transportation, 18(1):59-81.
Ben-Akiva, M. and Lerman, S.R. (1985) Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press, Cambridge, MA, USA, 384p.
Chaniotakis, E. and Pel, A.J. (2015). Drivers’ parking location choice under uncertain parking availability and search times: a stated preference experiment. Transport. Res. A-Pol., 82:228-239.
Cochran, W. G. (2007). Sampling Techniques: John Wiley & Sons, Hoboken, NJ, USA, 428p.
Dell'Olio, L., Ibeas, A., and Moura, J.L. (2009). Paying for parking: improving stated-preference surveys. P. I. Civil Eng.-Transp., 162(1):39-45.
Hanley, N., Mourato, S., and Wright, R.E. (2001). Choice modelling approaches: a superior alternative for environmental valuatioin? J. Econ. Surv., 15(3):435-462.
Hensher, D.A. and King, J. (2001). Parking demand and responsiveness to supply, pricing and location in the Sydney central business district. Transport. Res. A-Pol., 35(3):177-196.
Hess, S. and Polak, J.W. (2004). Mixed logit estimation of parking type choice. Paper presented at the 83rd Annual Meeting of the Transportation Research Board, Washington, DC, USA, 29p.
Ibeas, A., Dell’Olio, L., Bordagaray, M., and Ortúzar, J.d.D. (2014). Modelling parking choices considering user heterogeneity. Transport. Res. A-Pol., 70:41-49.
Lancaster, K.J. (1966). A new approach to consumer theory. J. Polit. Econ. 74(2): 132-157.
Rodier, C.J. and Shaheen, S.A. (2010). Transit-based smart parking: an evaluation of the San Francisco bay area field test. Transport. Res. C-Emer., 18(2):225-233.
Ruisong, Y., Meiping, Y., and Xiaoguang, Y. (2009). Study on drivers parking location choice behavior considering drivers' information acquisition. Proceedings of the IEEE 2nd International Conference on Intelligent Computation Technology and Automation; October 10-11, 2009; Changsha, Hunan, China, p. 764-770.
Shoup, D.C. (2005). The High Cost of Free Parking. Planners Press, Chicago, IL, USA, 734p.
Thompson, R.G. and Richardson, A.J. (1998). A parking search model. Transport. Res. A-Pol., 32(3):159-170.
Train, K.E. (2009). Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge, UK, 400p.
Weinberger, R., Kaehny, J., and Rufo, M. (2010). U.S. Parking Policies: An Overview of Management Strategies. Institute for Transportation and Development Policy, New York, NY, USA, 79p.
