IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/159473.html
   My bibliography  Save this article

An Integrated Contraflow Strategy for Multimodal Evacuation

Author

Listed:
  • Jingyi Hua
  • Gang Ren
  • Yang Cheng
  • Bin Ran

Abstract

To improve the efficiency of multimodal evacuation, a network aggregation method and an integrated contraflow strategy are proposed in this paper. The network aggregation method indicates the uncertain evacuation demand on the arterial subnetwork and balances accuracy and efficiency by refining the local road subnetworks. The integrated contraflow strategy contains three arterial configurations: noncontraflow to shorten the strategy setup time, full-lane contraflow to maximize the evacuation network capacity, and bus contraflow to realize the transit cycle operation. The application of this strategy takes two steps to provide transit priority during evacuation: solve the transit-based evacuation problem with a minimum-cost flow model, firstly, and then address the auto-based evacuation problem with a bilevel network flow model. The numerical results from optimizing an evacuation network for a super typhoon justify the validness and usefulness of the network aggregation method and the integrated contraflow strategy.

Suggested Citation

  • Jingyi Hua & Gang Ren & Yang Cheng & Bin Ran, 2014. "An Integrated Contraflow Strategy for Multimodal Evacuation," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, May.
    • Handle: RePEc:hin:jnlmpe:159473
    DOI: 10.1155/2014/159473
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/159473.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2014/159473.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/159473?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
    ---><---

    Citations

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


    Cited by:

    1. Pyakurel, Urmila & Khanal, Durga Prasad & Dhamala, Tanka Nath, 2023. "Abstract network flow with intermediate storage for evacuation planning," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1178-1193.
    2. Hadi Karimi & Bahador Ghadirifaraz & Seyed Nader Shetab Boushehri & Seyyed-Mohammadreza Hosseininasab & Narges Rafiei, 2022. "Reducing traffic congestion and increasing sustainability in special urban areas through one-way traffic reconfiguration," Transportation, Springer, vol. 49(1), pages 37-60, February.

    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:hin:jnlmpe:159473. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.