• DocumentCode
    2544376
  • Title

    GIS-based safe area discovery for emergency logistics

  • Author

    Hu, Jian-Kun ; Yang, Bin ; Wang, Jie ; Wang, Zhi-Huan ; Hu, Zhi-Hua

  • Author_Institution
    Logistics Res. Center, Shanghai Maritime Univ., Shanghai, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    98
  • Lastpage
    101
  • Abstract
    Quick response to urgent relief right after natural disasters through efficient emergency logistics distribution is vital to the alleviation of disaster impact in the affected areas, which remains challenging in the field of logistics and related study areas. This paper analyzes the spatial data and the attribute data by space model and logistics models. Numerical studies with a real large-scale earthquake disaster occurring in Wenchuan are conducted, and the corresponding results indicate the applicability of the proposed method and its potential advantages.
  • Keywords
    disasters; earthquake engineering; emergency services; geographic information systems; geophysical techniques; logistics; GIS-based safe area discovery; Wenchuan; attribute data analysis; emergency logistics distribution; large-scale earthquake disaster; logistics models; natural disasters; space model; spatial data analysis; Disaster management; Earthquakes; Geographic Information Systems; Logistics; Roads; Robustness; Routing; Stochastic processes; Uncertainty; Vehicle dynamics; Emergency logistics; Emergency management; GIS; Logistics network; Safe area discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477642
  • Filename
    5477642