IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v43y2020i7p717-734.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2020.1805545
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03081060.2020.1805545?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Xinying & Pitera, Kelly & Wang, Yuanqing, 2024. "Exploring parking choices under the coexistence of autonomous and conventional vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).
    2. 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.
    3. 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.
    4. Gürcan Sarısoy & Hüseyin Onur Tezcan, 2024. "Does Parking Type Preference Behavior Differ According to Whether It Is Paid or Free? A Case Study in Istanbul, Türkiye," Sustainability, MDPI, vol. 16(17), pages 1-25, August.
    5. Saki, Siavash & Hagen, Tobias, 2024. "Cruising for parking again: Measuring the ground truth and using survival analysis to reveal the determinants of the duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:transp:v:43:y:2020:i:7:p:717-734. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GTPT20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.