• DocumentCode
    685627
  • Title

    Enumeration of region partitioning for evacuation planning based on ZDD

  • Author

    Takizawa, Atsushi ; Takechi, Yasufumi ; Ohta, Atsushi ; Katoh, Naoki ; Inoue, Takeru ; Horiyama, Takashi ; Kawahara, Jun ; Minato, Shin-ichi

  • Author_Institution
    Dept. of Archit. & Building Eng., Osaka City Univ., Osaka, Japan
  • fYear
    2013
  • fDate
    23-25 Aug. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Japanese cities always have risks of large-scale earthquakes. Thus, it is very important to establish crisis management systems against large-scale disasters such as big earthquakes, and tsunamis to secure evacuation centers for evacuees. In this respect, it is extremely important to provide sufficient evacuation centers and to appropriately partition the whole region into small areas, such that a unique evacuation center is located in each area and the people living in the area can easily evacuate to the center. However, it is hard to find an optimal region partitioning, due to the uncertainty, such as a fire or collapsed buildings. In this research, we propose a method to enumerate all partitioning patterns using Zero-suppressed Binary Decision Diagram (ZDD) that satisfy several conditions. We apply the proposed method to Kamigyo Ward of Kyoto City, Japan.
  • Keywords
    binary decision diagrams; disasters; earthquakes; emergency management; planning; tsunami; Japan; Japanese cities; Kamigyo Ward; Kyoto City; ZDD; collapsed buildings; crisis management systems; evacuation centers; evacuation planning; fire; large-scale disasters; large-scale earthquakes; optimal region partitioning; partitioning patterns; tsunamis; zero-suppressed binary decision diagram; enumeration; evacuation planning; region partitioning; reverse search; zero-suppressed BDD;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Operations Research and its Applications in Engineering, Technology and Management 2013 (ISORA 2013), 11th International Symposium on
  • Conference_Location
    Huangshan
  • Electronic_ISBN
    978-1-84919-713-7
  • Type

    conf

  • DOI
    10.1049/cp.2013.2258
  • Filename
    6822769