China Safety Science Journal ›› 2020, Vol. 30 ›› Issue (7): 173-179.doi: 10.16265/j.cnki.issn1003-3033.2020.07.026

• Emergency technology and management • Previous Articles     Next Articles

Emergency supplies distribution model considering psychological impact of supplies damage

SONG Yinghua1,2,3, SONG Yinghui1,2,3, LI Chaoxin4, WANG Zhe1,2,3   

  1. 1 China Research Center for Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China;
    2 Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan Hubei 430070, China;
    3 School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China;
    4 Xianhu Laboratory, Wuhan University of Technology, Wuhan Hubei 430070, China
  • Received:2020-04-07 Revised:2020-06-10 Online:2020-07-28 Published:2021-07-15

Abstract: In order to improve efficiency of emergency rescue and benefit of supplies distribution, according to damage situation of relief items after natural disasters, a tolerance function of impacted populations to supplies damage was proposed to quantify people‘s psychology based on damage rate's top and bottom psychological influence limits and its impact on supplies distribution. Then, an optimization model of dynamic emergency logistics distribution, which considered multiple period, items and scenarios of disaster evolution, was established to minimize total operational costs and maximize effective emergency supplies satisfaction rate weighted by expected intolerable damage degree of victims. Finally, a numerical example based on data of Sichuan earthquake zone was solved by Matlab, and effectiveness of the model was demonstrated by comparing proposed schemes. The results indicate that introduction of tolerance function to supplies damage can optimize total costs while securing supplies for affected areas where victims have higher levels of urgent relief demand.

Key words: supplies damage, psychology of disaster victims, supplies distribution, urgency of relief demand, scenarios of disaster evolution

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