• DocumentCode
    2374170
  • Title

    Decision support system for resource allocation in disaster management

  • Author

    Kondaveti, Russell ; Ganz, Aura

  • Author_Institution
    Univ. of Massachusetts, Amherst, MA, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    3425
  • Lastpage
    3428
  • Abstract
    Natural and man-made disasters, such as earthquakes, floods, plane crashes, high-rise building collapses, major nuclear facility malfunctions, pose an ever-present challenge to public emergency services. Disasters may result in a large volume of responders arriving on-scene to provide assistance to victims. Coordination of responding resources is a major problem in disasters. In this paper we introduce a decision support framework built on rapid information collection and resource tracking functionalities. Based on this information collected from emergency response service agencies, operation research techniques are used to find an optimal solution for resource deployment and dispatching.
  • Keywords
    decision support systems; disasters; earthquakes; operations research; resource allocation; decision support system; disaster management; earthquakes; emergency response service agencies; floods; high-rise building collapses; major nuclear facility malfunctions; man-made disasters; natural disasters; operation research; plane crashes; public emergency services; rapid information collection; resource allocation; resource coordination; resource deployment; resource dispatching; resource tracking; Algorithms; Cluster Analysis; Decision Support Systems, Clinical; Decision Support Techniques; Disaster Planning; Disasters; Emergency Medical Services; Humans; Medical Informatics; Models, Statistical; Models, Theoretical; Relief Work; Resource Allocation; Risk; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5332498
  • Filename
    5332498