IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v47y2015i11p1287-1299.html
   My bibliography  Save this article

A disaster evacuation network model for transporting multiple priority evacuees

Author

Listed:
  • Hyeong Suk Na
  • Amarnath Banerjee

Abstract

There is an increasing number of natural disasters occurring worldwide, particularly in populated areas. These events affect a large number of people, causing injuries and fatalities. Providing rapid medical treatment is of utmost importance in such circumstances. The problem of transporting patients to medical facilities has been studied to only a small extent. One of the challenges is to find a strategy that can simultaneously maximize the number of survivors and minimize the total evacuation cost under a given set of resource and geographic constraints. We propose a mathematical optimization model called Triage–Assignment–Transportation (TAT) model that decides on the tactical routing assignment of several classes of evacuation vehicles between staging areas and shelters in the nearby area. The model takes into account the level of injury to the evacuees, the capacities of vehicles, and available resources at each shelter. TAT is a mixed-integer linear programming and minimum-cost flow model. Comprehensive computational experiments are performed to examine the applicability of the TAT model. TAT can offer valuable insights for decision-makers about the number of staging areas, evacuation vehicles, and medical resources that are required to complete a large-scale evacuation based on the estimated number of evacuees.

Suggested Citation

  • Hyeong Suk Na & Amarnath Banerjee, 2015. "A disaster evacuation network model for transporting multiple priority evacuees," IISE Transactions, Taylor & Francis Journals, vol. 47(11), pages 1287-1299, November.
    • Handle: RePEc:taf:uiiexx:v:47:y:2015:i:11:p:1287-1299
    DOI: 10.1080/0740817X.2015.1040929
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0740817X.2015.1040929
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0740817X.2015.1040929?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. Nadide Caglayan & Sule Itir Satoglu, 2021. "Multi-Objective Two-Stage Stochastic Programming Model for a Proposed Casualty Transportation System in Large-Scale Disasters: A Case Study," Mathematics, MDPI, vol. 9(4), pages 1-22, February.
    2. Minjun Kim & Gi-Hyoug Cho, 2020. "Influence of Evacuation Policy on Clearance Time under Large-Scale Chemical Accident: An Agent-Based Modeling," IJERPH, MDPI, vol. 17(24), pages 1-18, December.
    3. Farahani, Reza Zanjirani & Lotfi, M.M. & Baghaian, Atefe & Ruiz, Rubén & Rezapour, Shabnam, 2020. "Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations," European Journal of Operational Research, Elsevier, vol. 287(3), pages 787-819.
    4. Liu, Yang & Cui, Na & Zhang, Jianghua, 2019. "Integrated temporary facility location and casualty allocation planning for post-disaster humanitarian medical service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 1-16.

    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:uiiexx:v:47:y:2015:i:11:p:1287-1299. 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/uiie .

    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.