IDEAS home Printed from https://ideas.repec.org/a/bpj/johsem/v12y2015i4p915-940n9.html
   My bibliography  Save this article

A Genetic Algorithm Based Approach to Provide Solutions for Emergency Aid Stations Location Problem and a Case Study for Pendik/İstanbul

Author

Listed:
  • Tozan Hakan
  • Donmez Sercan

    (Industrial Engineering, Turkish Naval Academy, Tuzla, Istanbul 34900, Turkey)

Abstract

The emergency aid station is one of the crucial components of the emergency health service chain providing vital acute medical care. This paper aims to solve a real world case related with the deployment of emergency aid stations in one of the densely populated districts of İstanbul/Turkey in order to determine the minimal number of ambulances needed to maintain complete coverage of all districts and also to obtain maximum population coverage with limited available ambulances. In this context, a new genetic algorithm capable of presenting quick and qualified solutions for a specific set and maximal covering location problems with limitations on service capacity of facilities is proposed.

Suggested Citation

  • Tozan Hakan & Donmez Sercan, 2015. "A Genetic Algorithm Based Approach to Provide Solutions for Emergency Aid Stations Location Problem and a Case Study for Pendik/İstanbul," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 12(4), pages 915-940, December.
    • Handle: RePEc:bpj:johsem:v:12:y:2015:i:4:p:915-940:n:9
    DOI: 10.1515/jhsem-2015-0025
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jhsem-2015-0025
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/jhsem-2015-0025?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.

    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:bpj:johsem:v:12:y:2015:i:4:p:915-940:n:9. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.