Optimal allocation and adjustment mechanism of shared parking slots considering combined parking resources

This paper establishes a rolling shared parking allocation model to optimize the matching of supply and demand in parking-dense districts by maximizing platform revenue and minimizing parking users’ travel costs. An adjustment mechanism that dynamically adjusts the allocated parking slots is developed to be embedded in the model. Considering multi-candidate adjacent parking lots, combined sharing and individual sharing patterns are compared to verify the benefits of resource combination. Numerical experiments indicate that the proposed model works well for changing parking demands and achieves more successful matches than the first-book-first-serve model. The combination of adjacent parking resources improves the platform revenue, the parking slot utilization, and the acceptance rate of parking requests, as well as reduces the average walking distance. The direct parking revenue of the parking lot with fewer slots is remarkably increased under combined sharing. The findings provide managerial insights for local collaborative shared parking.

• Record URL:
  • https://doi.org/10.1080/19427867.2022.2082767
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/19427867
• Supplemental Notes:
  • © 2022 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Xie, Minghui
  • Lin, Siyu
  • Wu, Zhouhao
  • Zhang, Xinying
  • Wang, Yuanqing
• Publication Date: 2023-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: pp 730-741
• Serial:
  • Transportation Letters: The International Journal of Transportation Research
  • Volume: 15
  • Issue Number: 7
  • Publisher: Taylor & Francis
  • ISSN: 1942-7867
  • EISSN: 1942-7875
  • Serial URL: http://www.tandfonline.com/toc/ytrl20/current

Subject/Index Terms

• TRT Terms: Operating revenues; Optimization; Parking demand; Parking fees; Shared parking; Supply
• Subject Areas: Finance; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01890380
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 22 2023 3:33PM