• DocumentCode
    1926134
  • Title

    A new multi-objective model of location-allocation in emergency response network design for hazardous materials transportation

  • Author

    Jiahong, Zhao ; Bin, Shuai

  • Author_Institution
    Coll. of Traffic & Transp., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2010
  • fDate
    8-10 Aug. 2010
  • Firstpage
    246
  • Lastpage
    249
  • Abstract
    Hazardous materials incidents during transportation will lead to undesirable consequences for people and environment. An emergency response network is designing for offer quick arrival of specialized response teams at the accident site. The emergency response center location-routing problem is aim to decide where to open emergency response centers and maximize the ability to respond to such incidents in a region. To be more comprehensive and practical, based on the known maximal arc-covering model, adding time and cost to the objectives, a new multi-objective 0-1 integer linear programming model was proposed for the location-allocation problem in emergency response network design. The solving algorithm was designed by adopting multi-objective linear programming method. Finally, a computational example was experimented and analyzed to demonstrate the practical feasibilities of the model and algorithm.
  • Keywords
    accidents; emergency services; hazardous materials; integer programming; linear programming; risk management; transportation; center location-routing problem; emergency response network design; hazardous materials; integer linear programming model; location allocation; maximal arc-covering model; maximal covering location model; multi-objective model; transportation; Emergency services; Lead; emergency response; fuzzy programming; hazardous materials; location-allocation; multi-objective; network design; transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emergency Management and Management Sciences (ICEMMS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6064-9
  • Type

    conf

  • DOI
    10.1109/ICEMMS.2010.5563457
  • Filename
    5563457