1. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China;
2. Academy of Transportation Science, Ministry of Transport, Beijing 100029, China
Searching for a Parking Spot in a Large City Center
LIU Jing1, GUAN Hong-zhi1, HE Yu-long1, ZHAO Xin2
1. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China;
2. Academy of Transportation Science, Ministry of Transport, Beijing 100029, China
摘要This study aims to study the general behavior of drivers when searching for a parking lot. A sample investigation is conducted on the users of 18 selected parking lots in the Xicheng district of Beijing.The influencing factors of parking lot searching behaviors are analyzed by using investigation data. Results show that parking time, parking lot type, parking guide, and the situation of parking congestion significantly influence parking lot searching behaviors. The characteristic variables affecting parking lot searching time are determined, and a multinomial logitmodel of the searching time is established. The model is calibrated, and its effectiveness is verified. Results show that (1) the established model is feasible and has high prediction accuracy and practicability; (2) users quickly find a parking lot space when only few parking lot spaces are left; (3) users spend more time finding a satisfactory parking lot when several parking lots are left, and parking lot searching time is proportional to parking time.
Abstract:This study aims to study the general behavior of drivers when searching for a parking lot. A sample investigation is conducted on the users of 18 selected parking lots in the Xicheng district of Beijing.The influencing factors of parking lot searching behaviors are analyzed by using investigation data. Results show that parking time, parking lot type, parking guide, and the situation of parking congestion significantly influence parking lot searching behaviors. The characteristic variables affecting parking lot searching time are determined, and a multinomial logitmodel of the searching time is established. The model is calibrated, and its effectiveness is verified. Results show that (1) the established model is feasible and has high prediction accuracy and practicability; (2) users quickly find a parking lot space when only few parking lot spaces are left; (3) users spend more time finding a satisfactory parking lot when several parking lots are left, and parking lot searching time is proportional to parking time.
基金资助:Supported by the National Basic Research Program of China (973 Program)(No.2012CB725403); the National Natural Science Foundation of China(No. 51338008).
通讯作者:
LIU Jing,E-mail address:394379150@qq.com
E-mail: 394379150@qq.com
引用本文:
刘婧, 关宏志, 贺玉龙, 赵昕. 大城市中心区停车寻位研究[J]. Journal of Highway and Transportation Research and Development, 2017, 11(1): 65-69.
LIU Jing, GUAN Hong-zhi, HE Yu-long, ZHAO Xin. Searching for a Parking Spot in a Large City Center. Journal of Highway and Transportation Research and Development, 2017, 11(1): 65-69.
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