IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v41y2018i7p706-723.html
   My bibliography  Save this article

Modeling and optimizing urban bus transit considering headway variation for cost and service reliability analysis

Author

Listed:
  • Liuhui Zhao
  • Steven I. Chien
  • Lazar N. Spasovic
  • Xiaobo Liu

Abstract

Due to the stochastic nature of traffic conditions and demand fluctuations, it is a challenging task for operators to maintain reliable services, and passengers often suffer from longer travel times. A failure to consider this issue while planning bus services may lead to undesirable results, such as higher costs and a deterioration in level of service. Considering headway variation at route stops, this paper develops a mathematical model to optimize bus stops and dispatching headways that minimize total cost, consisting of both user and operator costs. A Genetic Algorithm is applied to search for a cost-effective solution in a real-world case study of a bus transit system, which improves service reliability in terms of a reduced coefficient of variation of headway.

Suggested Citation

  • Liuhui Zhao & Steven I. Chien & Lazar N. Spasovic & Xiaobo Liu, 2018. "Modeling and optimizing urban bus transit considering headway variation for cost and service reliability analysis," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(7), pages 706-723, October.
    • Handle: RePEc:taf:transp:v:41:y:2018:i:7:p:706-723
    DOI: 10.1080/03081060.2018.1504181
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2018.1504181
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03081060.2018.1504181?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.

    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:41:y:2018:i:7:p:706-723. 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.