IDEAS home Printed from https://ideas.repec.org/a/taf/rjusxx/v22y2018i3p366-381.html
   My bibliography  Save this article

Optimization of demand-responsive transit systems using zonal strategy

Author

Listed:
  • Lin Wang
  • S. C. Wirasinghe
  • Lina Kattan
  • Saeid Saidi

Abstract

A mathematical model was developed and applied to optimize many to one demand-responsive transit (DRT) systems using a zonal strategy. Such a DRT system provides service between a residential area and a terminal. The model is used to design the transit system, with its terminal sitting within the service area, by minimizing costs that are separately generated in service zones. The decision variables are area of service zone and bus headway. Also stepwise procedures are derived to geographically and sequentially divide the service area into a number of service zones with optimal areas. A case study is conducted for a presumptive demand-responsive transit system operating in northwest Calgary, showing that the model can successfully assist in designing demand-responsive transit systems.

Suggested Citation

  • Lin Wang & S. C. Wirasinghe & Lina Kattan & Saeid Saidi, 2018. "Optimization of demand-responsive transit systems using zonal strategy," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 22(3), pages 366-381, July.
    • Handle: RePEc:taf:rjusxx:v:22:y:2018:i:3:p:366-381
    DOI: 10.1080/12265934.2018.1431144
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/12265934.2018.1431144
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/12265934.2018.1431144?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. Babak Mehran & Yongzhe Yang & Sushreeta Mishra, 2020. "Analytical models for comparing operational costs of regular bus and semi-flexible transit services," Public Transport, Springer, vol. 12(1), pages 147-169, March.
    2. András Lakatos & János Tóth & Péter Mándoki, 2020. "Demand Responsive Transport Service of ‘Dead-End Villages’ in Interurban Traffic," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    3. Xudong Li & Zhongzhen Yang & Feng Lian, 2023. "Optimizing On-Demand Bus Services for Remote Areas," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    4. Wang, Tao & Guo, Jia & Zhang, Wei & Wang, Kai & Qu, Xiaobo, 2024. "On the planning of zone-based electric on-demand minibus," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    5. GALARZA MONTENEGRO, Bryan David & SÖRENSEN, Kenneth & VANSTEENWEGEN, Pieter, 2023. "A demand-responsive feeder service with a maximum headway at mandatory stops," Working Papers 2023001, University of Antwerp, Faculty of Business and Economics.
    6. Militão, Aitan M. & Tirachini, Alejandro, 2021. "Optimal fleet size for a shared demand-responsive transport system with human-driven vs automated vehicles: A total cost minimization approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 52-80.

    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:rjusxx:v:22:y:2018:i:3:p:366-381. 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/rjus20 .

    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.