首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Drivers’ parking location choice under uncertain parking availability and search times: A stated preference experiment
Institution:1. Faculty of Arts and Social Sciences, Sabanci University, Orhanli/Tuzla, Istanbul 34956, Turkey;2. Sauder School of Business, University of British Columbia, 2053 Main Mall, Vancouver, BC V6T 1Z2, Canada;1. Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, the Netherlands;2. University of São Paulo, Av. Trabalhador São-Carlense, 400-Centro 13566-590 São Paulo, Brazil;1. Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, Italy;2. Department of Enterprise Engineering, University of Rome Tor Vergata, 00133 Rome, Italy
Abstract:To assess parking pricing policies and parking information and reservation systems, it is essential to understand how drivers choose their parking location. A key aspect is how drivers’ behave towards uncertainties towards associated search times and finding a vacant parking spot. This study presents the results from a stated preference experiment on the choice behaviour of drivers, in light of these uncertainties. The attribute set was selected based on a literature review, and appended with the probabilities of finding a vacant parking spot upon arrival and after 8 min (and initially also after 4 min, but later dropped to reduce the survey complexity). Efficient Designs were used to create the survey design, where two rounds of pilot studies were conducted to estimate prior coefficients. Data was successfully collected from 397 respondents. Various random utility maximisation (RUM) choice models were estimated, including multinomial logit, nested logit, and mixed logit, as well as models accounting for panel effects. These model analyses show how drivers appear to accept spending time on searching for a vacant parking spot, where parking availability after 8 min ranks second most important factor in determining drivers’ parking decisions, whilst parking availability upon arrival ranks fourth. Furthermore, the inclusion of heterogeneity in preferences and inter-driver differences is found to increase the predictive power of the parking location choice model. The study concludes with an outlook of how these insights into drivers’ parking behaviour can be incorporated into traffic assignment models and used to support parking systems.
Keywords:Parking  Parking uncertainty  Choice behaviour  Choice factors  Stated preference
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号