IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Mobile phone tower location for survival after natural disasters

Listed author(s):
  • Eiselt, H.A.
  • Marianov, Vladimir
Registered author(s):

    This paper discusses the location or strengthening of cell phone towers so as to maximize service coverage and minimize the loss of communications if a natural disaster happens. This paper demonstrates that, under a high likelihood of destruction of antennas (towers), the customary method of maximizing coverage provides poor solutions as compared to the proposed method. In addition to the maximization of service coverage, the objectives of our model include the minimization of expected and worst-case losses. The model is applied to a region in the south of Chile that was stricken by one of the most destructive earthquakes registered in history. Computational results are provided for a variety of scenarios.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 216 (2012)
    Issue (Month): 3 ()
    Pages: 563-572

    in new window

    Handle: RePEc:eee:ejores:v:216:y:2012:i:3:p:563-572
    DOI: 10.1016/j.ejor.2011.08.021
    Contact details of provider: Web page:

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    in new window

    1. Marianov, Vladimir & ReVelle, Charles, 1996. "The Queueing Maximal availability location problem: A model for the siting of emergency vehicles," European Journal of Operational Research, Elsevier, vol. 93(1), pages 110-120, August.
    2. ReVelle, Charles & Marianov, Vladimir, 1991. "A probabilistic FLEET model with individual vehicle reliability requirements," European Journal of Operational Research, Elsevier, vol. 53(1), pages 93-105, July.
    3. Dutta, Amitava & Kubat, Peter, 1999. "Design of partially survivable networks for cellular telecommunication systems," European Journal of Operational Research, Elsevier, vol. 118(1), pages 52-64, October.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:216:y:2012:i:3:p:563-572. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.