کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6781088 534169 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Drivers' parking location choice under uncertain parking availability and search times: A stated preference experiment
ترجمه فارسی عنوان
انتخاب محل پارکینگ رانندگان در دسترس بودن پارکینگ نامطمئن و زمان جستجو: یک آزمایش ترجیح داده شده است
کلمات کلیدی
پارکینگ، عدم اطمینان پارکینگ، رفتار انتخابی، عوامل انتخابی، ترجیح داده شده
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part A: Policy and Practice - Volume 82, December 2015, Pages 228-239
نویسندگان
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