• DocumentCode
    3451761
  • Title

    Dynamic Optimization Methods of Emergency Resources Deployment Based on Markov Decision Process for Wenchuan Earthquake

  • Author

    Wang, Wei ; Liu, Mao ; Wang, Li

  • Author_Institution
    Center for Urban Public Safety Res., Nankai Univ., Tianjin, China
  • fYear
    2010
  • fDate
    27-28 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Effective disaster response planning covers three activities: (1) development of a realistic damage simulation model, (2) a method to rapidly assess actual damage, and (3) models to allocate limited rescue resources to damaged areas in an optimal way. The emergency resources deployment is a hardcore of emergency management. After the happening of the public emergency, it is important to study how to deliver the emergency resources to scene quickly. Consequently, this article studies the dynamic optimal process of emergency resources deployment planning, making use of Markov decision processes, and wants to discover the optimal deployment planning to guarantee the timeliness. The results of the cases analysis prove that the dynamic optimal method of emergency resources deployment planning, based on Markov decision processes, is available. And we can make important decision about the emergency resources deployment by this method in the future.
  • Keywords
    Markov processes; disasters; earthquakes; emergency services; optimisation; town and country planning; Markov decision process; Wenchuan Earthquake1; disaster response planning; dynamic optimization methods; emergency management; emergency resources deployment; planning; public emergency; rapidly assess actual damage; Availability; Dynamic scheduling; Earthquakes; Markov processes; Mathematical model; Optimal scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Technology and Applications (DBTA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6975-8
  • Electronic_ISBN
    978-1-4244-6977-2
  • Type

    conf

  • DOI
    10.1109/DBTA.2010.5658952
  • Filename
    5658952