IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v65y2014i1p124-140.html
   My bibliography  Save this article

Optimal evacuation planning using staging and routing

Author

Listed:
  • D R Bish

    (Grado Department of Industrial and Systems Engineering (0118), Virginia Tech, Blackburg, VA, USA)

  • H D Sherali

    (Grado Department of Industrial and Systems Engineering (0118), Virginia Tech, Blackburg, VA, USA)

  • A G Hobeika

    (Via Department of Civil and Environmental Engineering, Virginia Tech, Blackburg, VA, USA)

Abstract

Evacuation is an important disaster management tool. Evacuating a large region by automobile (the most commonly used mode) is a difficult task, especially as high levels of traffic congestion often form. This paper studies the use of demand-based strategies, specifically, the staging and routing of evacuees. These strategies attempt to manage demand in order to reduce or eliminate congestion. A strategic mixed-integer programming planning model that accounts for evacuation dynamics and congestion is used to study these strategies. The strategies adopted incorporate different evacuee types based on destination requirements and shelter capacity restrictions. The main objective studied is to minimize the network clearance time. We examine the structure of optimal strategies, yielding insights into the use of staging and routing in evacuation management. These insights are then used to develop effective solution procedures. To demonstrate the efficacy of the proposed solution technique, we provide computational experience using a large realistic example based on Virginia Beach.

Suggested Citation

  • D R Bish & H D Sherali & A G Hobeika, 2014. "Optimal evacuation planning using staging and routing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(1), pages 124-140, January.
    • Handle: RePEc:pal:jorsoc:v:65:y:2014:i:1:p:124-140
    as

    Download full text from publisher

    File URL: http://www.palgrave-journals.com/jors/journal/v65/n1/pdf/jors20133a.pdf
    File Function: Link to full text PDF
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: http://www.palgrave-journals.com/jors/journal/v65/n1/full/jors20133a.html
    File Function: Link to full text HTML
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Diaz, Rafael & Behr, Joshua G. & Acero, Beatriz, 2022. "Coastal housing recovery in a postdisaster environment: A supply chain perspective," International Journal of Production Economics, Elsevier, vol. 247(C).
    2. Alf Kimms & Marc Maiwald, 2017. "An exact network flow formulation for cell‐based evacuation in urban areas," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(7), pages 547-555, October.
    3. Karabuk, Suleyman & Manzour, Hasan, 2019. "A multi-stage stochastic program for evacuation management under tornado track uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 128-151.

    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:pal:jorsoc:v:65:y:2014:i:1:p:124-140. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.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.