Modeling and empirical analyses of parking space choices based on individual preferences

被引：0
|
作者：
Liang W. [1 ]
Hu J. [1 ,2 ]
Zhang Y. [1 ,2 ]
Zhang Z. [1 ,2 ]
Wang Z. [1 ]
机构：
[1] Department of Automation, Tsinghua University, Beijing
[2] Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing
来源：
Zhang, Yi (zhyi@tsinghua.edu.cn) | 1600年 / Tsinghua University卷 / 57期
关键词：
Disaggregate analysis; Multivariate comprehensive evaluation; Parking guidance; Parking space utility; Personal preferences;
D O I：
10.16511/j.cnki.qhdxxb.2017.21.019
中图分类号：
学科分类号：
摘要：
A parking space choice model based on personal preferences was developed for large parking lots to analyze the utility of parking spaces in shopping mall parking lots. The driver's behaviorial characteristics when parking are analyzed based on personal preferences which are assigned into three groups (inherence, skill and affordability) using a multinomial Logit model to analyze the impacts of the preferences on parking choices. A parking choice utility model with multiple variants based on personal preferences was then used to study driver behavior in the parking lot of the Beijing IKEA store. The results show that skill preferences have the most significant impact on the parking space choice. This model can accurately evaluate driver behavior when choosing the parking spaces. © 2017, Tsinghua University Press. All right reserved.
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页码：100 / 106
页数：6
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