• DocumentCode
    127465
  • Title

    Modeling and simulation of extreme floods emergency management between hierarchical governments using evolutionary game

  • Author

    Chen Rong ; Wang Hui-min ; Chu Yu

  • Author_Institution
    State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing, China
  • fYear
    2014
  • fDate
    17-19 Aug. 2014
  • Firstpage
    2053
  • Lastpage
    2060
  • Abstract
    A relatively perfect organizational system of extreme floods emergency management has been established in China. However, no-timely response and procrastination still exist in practical actions of grassroots organizations. In this paper, evolutionary game (EG) theory is applied to extreme floods emergency management, and to analyze replicator dynamics and its evolutionary stable strategy (ESS) between different level hierarchical governments. Evolution results are simulated by system dynamics (SD). Some conclusions are inferred that: (1) the evolutionary game between a higher-level government and a lower-level government has no ESS; (2) the evolution results of EG between a higher-level government and a lower-level government show a trend of cycle. In order to break the cycle, the higher-level government has to strengthen supervision to the lower-level government.
  • Keywords
    emergency management; evolutionary computation; floods; game theory; government; organisational aspects; China; EG theory; ESS; evolutionary game theory; evolutionary stable strategy; extreme flood emergency management modeling; extreme flood emergency management simulation; grassroots organizations; hierarchical governments; higher-level government; lower-level government; organizational system; replicator dynamics; system dynamics; Emergency services; Floods; Games; Jacobian matrices; Local government; emergency management; evolutionary game; extreme floods; hierarchical government; system dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science & Engineering (ICMSE), 2014 International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4799-5375-2
  • Type

    conf

  • DOI
    10.1109/ICMSE.2014.6930488
  • Filename
    6930488