Drivers' parking location choice under uncertain parking availability and search times: A stated preference experiment

被引:78
|
作者
Chaniotakis, Emmanouil [1 ,2 ]
Pel, Adam J. [3 ]
机构
[1] Hellen Inst Transport, Ctr Res & Technol Hellas, Thessaloniki 57001, Greece
[2] Natl Tech Univ Athens, Sch Rural & Surveying Engn, Zografos 15780, Greece
[3] Delft Univ Technol, Fac Civil Engn & Geosci, Dept Transport & Planning, NL-2628 CN Delft, Netherlands
关键词
Parking; Parking uncertainty; Choice behaviour; Choice factors; Stated preference; MODEL; ECONOMICS; DEMAND; POLICY;
D O I
10.1016/j.tra.2015.10.004
中图分类号
F [经济];
学科分类号
02 ;
摘要
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. (C) 2015 Elsevier Ltd. All rights reserved.
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页码:228 / 239
页数:12
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