Parking reservation policies in one-way vehicle sharing systems

In this study, the authors propose improving the performance of one-way vehicle sharing systems by incorporating parking reservation policies. In particular, the authors study a parking space reservation policy in which, upon rental, the users are required to state their destination and the system then reserves a parking space for them until they arrive at their destinations. The authors measure the performance of the vehicle sharing system by the total excess time users spend in the system. The excess time is defined as the difference between the actual journey time and the shortest possible travel time from the desired origin to the desired destination. A Markovian model of the system is formulated. Using this model, the authors prove that under realistic demand rates, this policy improves the performance of the system. This result is confirmed via a simulation study of a large real system, Tel-O-Fun, the bike-sharing system in Tel-Aviv. For all the tested demand scenarios, the parking reservation policy reduces the total excess time users spend in the system, with a relative reduction varying between 14% and 34%. Through the simulation the authors examine additional service-oriented performance measures and demonstrate that they all improve under the parking reservation policy.

• Record URL:
  • https://doi.org/10.1016/j.trb.2014.01.006
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0191261514000162
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Kaspi, Mor
  • Raviv, Tal
  • Tzur, Michal
• Publication Date: 2014-4

Language

• English

Media Info

• Media Type: Print
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 35-50
• Serial:
  • Transportation Research Part B: Methodological
  • Volume: 62
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0191-2615
  • Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

• TRT Terms: Markov chains; Parking; Performance measurement; Policy; Reservations; Simulation; Travel time; Vehicle sharing
• Identifier Terms: Tel-O-Fun (Bike Share)
• Geographic Terms: Tel Aviv (Israel)
• Subject Areas: Administration and Management; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; I10: Economics and Administration; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01523687
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 29 2014 10:50AM