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A Multiobjective Allocation Model for Emergency Resources That Balance Efficiency and Fairness

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  • Yanyan Wang
  • Baiqing Sun

Abstract

Efficiency and fairness are two important goals of disaster rescue. However, the existing models usually unilaterally consider the efficiency or fairness of resource allocation. Based on this, a multiobjective emergency resource allocation model that can balance efficiency and fairness is proposed. The object of the proposed model is to minimize the total allocating costs of resources and the total losses caused by insufficient resources. Then the particle swarm optimization is applied to solve the model. Finally, a computational example is conducted based on the emergency relief resource allocation after Ya’an earthquake in China to verify the applicability of the proposed model.

Suggested Citation

  • Yanyan Wang & Baiqing Sun, 2018. "A Multiobjective Allocation Model for Emergency Resources That Balance Efficiency and Fairness," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-8, October.
    • Handle: RePEc:hin:jnlmpe:7943498
    DOI: 10.1155/2018/7943498
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    Cited by:

    1. Vahdani, Behnam & Veysmoradi, D. & Mousavi, S.M. & Amiri, M., 2022. "Planning for relief distribution, victim evacuation, redistricting and service sharing under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    2. Yanyan Wang & Baiqing Sun, 2022. "Multiperiod optimal emergency material allocation considering road network damage and risk under uncertain conditions," Operational Research, Springer, vol. 22(3), pages 2173-2208, July.

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