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Analysis of parking cruising behaviour and parking location choice

Author

Listed:
  • Huanmei Qin
  • Xiuhan Yang
  • Yao-Jan Wu
  • Hongzhi Guan
  • Pengfei Wang
  • Nasrin Shahinpoor

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.

Suggested Citation

  • Huanmei Qin & Xiuhan Yang & Yao-Jan Wu & Hongzhi Guan & Pengfei Wang & Nasrin Shahinpoor, 2020. "Analysis of parking cruising behaviour and parking location choice," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(7), pages 717-734, October.
    • Handle: RePEc:taf:transp:v:43:y:2020:i:7:p:717-734
    DOI: 10.1080/03081060.2020.1805545
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    Citations

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    Cited by:

    1. Wei Wang & Yuwei Zhou & Jianbin Liu & Baofeng Sun, 2022. "On-Street Cruising for Parking Model in Consideration with Gaming Elements and Its Impact Analysis," Mathematics, MDPI, vol. 10(19), pages 1-17, September.
    2. Yangbeibei Ji & Xueqing Lu & Hanwan Jiang & Xinyang Zhu & Jiao Wang, 2022. "Layout Optimization for Shared Parking Spaces Considering Shared Parking Walking Time and Parking Fee," Sustainability, MDPI, vol. 14(9), pages 1-23, May.
    3. Navid Nadimi & Mohammad Ali Zayandehroodi & Rosalia Camporeale & Morteza Asadamraji, 2023. "A Framework for Providing Information about Parking Spaces," Sustainability, MDPI, vol. 15(19), pages 1-16, October.
    4. Zhou, Xizhen & Ding, Xueqi & Yan, Jie & Ji, Yanjie, 2023. "Spatial heterogeneity of urban illegal parking behavior: A geographically weighted Poisson regression approach," Journal of Transport Geography, Elsevier, vol. 110(C).
    5. Hagen, Tobias & Saki, Siavash & Scheel-Kopeinig, Sabine, 2021. "start2park - determining, explaining and predicting cruising for parking," Working Paper Series 20, Frankfurt University of Applied Sciences, Faculty of Business and Law.
    6. Anna Lower & Agnieszka Szumilas, 2021. "Parking Policy as a Tool of Sustainable Mobility-Parking Standards in Poland vs. European Experiences," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    7. Xinliu Sui & Xiaofei Ye & Tao Wang & Xingchen Yan & Jun Chen & Bin Ran, 2022. "Microscopic Simulating the Impact of Cruising for Parking on Traffic Efficiency and Emission with Parking-and-Visit Test Data," IJERPH, MDPI, vol. 19(15), pages 1-26, July.

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