Integrated planning of emergency supply pre-positioning and victim evacuation

被引:3
作者
Yang, Wenjie [1 ,2 ]
Caunhye, Aakil M. [3 ]
Zhuo, Maolin [4 ]
Wang, Qingyi [1 ,3 ]
机构
[1] Sichuan Univ, Business Sch, Chengdu 610064, Peoples R China
[2] Natl Univ Singapore, Inst Operat Res & Analyt, Singapore 117602, Singapore
[3] Univ Edinburgh, Business Sch, Edinburgh EH8 9JU, Scotland
[4] Chengdu Ind & Trade Coll, Sch Finance & Trade Management, Chengdu 611731, Peoples R China
基金
中国国家自然科学基金;
关键词
Emergency supply; Victim evacuation; Integrated planning; Cost effectiveness and evacuation fairness; Stochastic programming; LOCATION-ALLOCATION MODEL; FACILITY LOCATION; DEMAND MANAGEMENT; ROUTING MODEL; EARTHQUAKE; PREPAREDNESS; SHELTERS;
D O I
10.1016/j.seps.2024.101965
中图分类号
F [经济];
学科分类号
02 ;
摘要
Natural disasters such as earthquakes, floods, and storms cause numerous human casualties and economic losses every year. Emergency supply pre-positioning and victim evacuation, as two important emergency relief operations, tend to be separately considered in the literature. However, there are intrinsic correlations between the two operations in reality, which calls for an integrated planning of emergency supply pre-positioning and victim evacuation. In this study, we propose a stochastic programming model to optimize, in an integrated way, the deployment of emergency facilities, pre-stocking and distribution of emergency supplies and management of self-evacuated victims under two planning goals, namely cost effectiveness and evacuation fairness. We also formulate four comparison models to highlight the benefits of our integrated planning model. With a case study on the development of an emergency preparedness and response plan in Sichuan Province, China, we not only demonstrate the effectiveness and benefits of our approach but also obtain key managerial insights and policy suggestions for better emergency management practice.
引用
收藏
页数:15
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共 74 条
  • [51] Possibilistic scheduling routing for short-notice bushfire emergency evacuation under uncertainties: An Australian case study
    Shahparvari, Shahrooz
    Abbasi, Babak
    Chhetri, Prem
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2017, 72 : 96 - 117
  • [52] Designing an integrated humanitarian logistics network for the preparedness and response phases under uncertainty
    Sheikholeslami, Mahnaz
    Zarrinpoor, Naeme
    [J]. SOCIO-ECONOMIC PLANNING SCIENCES, 2023, 86
  • [53] A method for designing centralized emergency supply to respond to large-scale natural disasters
    Sheu, Jiuh-Biing
    Pan, Cheng
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2014, 67 : 284 - 305
  • [54] Multi-period optimization model for planning people allocation in shelters and distributing aid with special constraints
    Souza, Juliano Silva
    Lim-Apo, Flavio Araujo
    Varella, Leonardo
    Coelho, Antonio Sergio
    Souza, Joao Carlos
    [J]. SOCIO-ECONOMIC PLANNING SCIENCES, 2022, 79
  • [55] Optimal depot locations for humanitarian logistics service providers using robust optimization
    Stienen, V. F.
    Wagenaar, J. C.
    den Hertog, D.
    Fleuren, H. A.
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2021, 104
  • [56] Integrated relief pre-positioning and procurement planning in humanitarian supply chains
    Torabi, S. Ali
    Shokr, Iman
    Tofighi, Saeideh
    Heydari, Jafar
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2018, 113 : 123 - 146
  • [57] Modeling demand management strategies for evacuations
    Tuydes-Yaman, Hediye
    Ziliaskopoulos, Athanasios
    [J]. ANNALS OF OPERATIONS RESEARCH, 2014, 217 (01) : 491 - 512
  • [58] Strategic emergency preparedness network design integrating supply and demand sides in a multi-objective approach
    Uster, Halit
    Dalal, Jyotirmoy
    [J]. IISE TRANSACTIONS, 2017, 49 (04) : 395 - 413
  • [59] Planning for relief distribution, victim evacuation, redistricting and service sharing under uncertainty
    Vahdani, Behnam
    Veysmoradi, D.
    Mousavi, S. M.
    Amiri, M.
    [J]. SOCIO-ECONOMIC PLANNING SCIENCES, 2022, 80
  • [60] The optimization of warehouse location and resources distribution for emergency rescue under uncertainty
    Wang, Bo Chen
    Qian, Qi Yuan
    Gao, Jia Jing
    Tan, Zhe Yi
    Zhou, Yi
    [J]. ADVANCED ENGINEERING INFORMATICS, 2021, 48