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Analysis of parking cruising behaviour and parking location choice |
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| Authors: | Huanmei Qin Xiuhan Yang Yao-Jan Wu Hongzhi Guan Pengfei Wang Nasrin Shahinpoor |
| Institution: | 1. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, People’s Republic of China hmqin@bjut.edu.cn![ORCID Icon]({"type":"image","src":"/templates/jsp/images/orcid.png"} "ORCID Icon") https://orcid.org/0000-0002-3516-8562;3. Shenzhen Urban Transport Planning Center, Shenzhen, People’s Republic of China;4. Department of Civil and Architectural Engineering and Mechanics, University of Arizona, Tucson, AZ, USA https://orcid.org/0000-0002-0456-7915;5. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, People’s Republic of China;6. Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, People’s Republic of China;7. College of Urban Construction, Hebei Normal University of Science and Technology, Qinhuandao, People’s Republic of China;8. Department of Economics, Hanover College, Hanover, IN, USA |
| Abstract: | ABSTRACT This paper explores car drivers’ cruising behaviour and location choice for curb parking in areas with insufficient parking space based on a survey of car drivers in Beijing, China. Preliminary analysis of the data show that car drivers’ cruising behaviour is closely related to their parking duration and parking location. A multinomial probit (MNP) model is used to analyse cruising behaviour and the results show that the closer to the destination car drivers are, the more likely they choose to park on the curb. The adjacent locations are the basis of car drivers’ sequential parking decisions at different locations. The research results provide a better understanding of cruising behaviour for parking and recommendations for reducing cruising for parking. The provision of parking information can help regulate the parking demand distribution. |
| Keywords: | Parking cruising behaviour sequential decisions parking location choice multinomial probit model case study |