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Multiobjective Emergency Resource Allocation under the Natural Disaster Chain with Path Planning

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  • Feiyue Wang

    (Institute of Disaster Prevention Science and Safety Technology, School of Civil Engineering, Central South University, Changsha 410075, China)

  • Ziling Xie

    (Institute of Disaster Prevention Science and Safety Technology, School of Civil Engineering, Central South University, Changsha 410075, China)

  • Hui Liu

    (Institute of Disaster Prevention Science and Safety Technology, School of Civil Engineering, Central South University, Changsha 410075, China)

  • Zhongwei Pei

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Dingli Liu

    (Department of Engineering Management, Changsha University of Science and Technology, Changsha 410114, China)

Abstract

Public safety and health cannot be secured without the comprehensive recognition of characteristics and reliable emergency response schemes under the disaster chain. Distinct from emergency resource allocation that focuses primarily on a single disaster, dynamic response, periodic supply, and assisted decision-making are necessary. Therefore, we propose a multiobjective emergency resource allocation model considering uncertainty under the natural disaster chain. Resource allocation was creatively combined with path planning through the proposed multiobjective cellular genetic algorithm (MOCGA) and the improved A* algorithm with avoidance of unexpected road elements. Furthermore, timeliness, efficiency, and fairness in actual rescue were optimized by MOCGA. The visualization of emergency trips and intelligent avoidance of risk areas were achieved by the improved A* algorithm. The effects of logistics performance, coupling of disaster factors, and government regulation on emergency resource allocation were discussed based on different disaster chain scenarios. The results show that disruption in infrastructure support, cascading effect of disasters, and time urgency are additional environmental challenges. The proposed model and algorithm work in obtaining the optimal solution for potential regional coordination and resilient supply, with a 22.2% increase in the total supply rate. Cooperative allocation complemented by political regulation can be a positive action for successfully responding to disaster chains.

Suggested Citation

  • Feiyue Wang & Ziling Xie & Hui Liu & Zhongwei Pei & Dingli Liu, 2022. "Multiobjective Emergency Resource Allocation under the Natural Disaster Chain with Path Planning," IJERPH, MDPI, vol. 19(13), pages 1-19, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:7876-:d:848886
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    References listed on IDEAS

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    1. Wei Wang & Li Huang & Xuedong Liang, 2018. "On the Simulation-Based Reliability of Complex Emergency Logistics Networks in Post-Accident Rescues," IJERPH, MDPI, vol. 15(1), pages 1-10, January.
    2. Wei Chen & Guofang Zhai & Chongqiang Ren & Yijun Shi & Jianxin Zhang, 2018. "Urban Resources Selection and Allocation for Emergency Shelters: In a Multi-Hazard Environment," IJERPH, MDPI, vol. 15(6), pages 1-17, June.
    3. Melanie Kappes & Margreth Keiler & Kirsten Elverfeldt & Thomas Glade, 2012. "Challenges of analyzing multi-hazard risk: a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1925-1958, November.
    4. Jida Liu & Yuwei Song & Shi An & Changqi Dong, 2022. "How to Improve the Cooperation Mechanism of Emergency Rescue and Optimize the Cooperation Strategy in China: A Tripartite Evolutionary Game Model," IJERPH, MDPI, vol. 19(3), pages 1-27, January.
    5. Sheu, Jiuh-Biing & Pan, Cheng, 2014. "A method for designing centralized emergency supply network to respond to large-scale natural disasters," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 284-305.
    6. Chen, Dingjun & Fang, Xufeng & Li, Yao & Ni, Shaoquan & Zhang, Qingpeng & Sang, Chin Kwai, 2022. "Three-level multimodal transportation network for cross-regional emergency resources dispatch under demand and route reliability," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    7. Krzysztof Goniewicz & Frederick M. Burkle, 2019. "Challenges in Implementing Sendai Framework for Disaster Risk Reduction in Poland," IJERPH, MDPI, vol. 16(14), pages 1-8, July.
    8. He, Yuxuan & Liu, Nan, 2015. "Methodology of emergency medical logistics for public health emergencies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 178-200.
    9. Zhou, Yawen & Liu, Jing & Zhang, Yutong & Gan, Xiaohui, 2017. "A multi-objective evolutionary algorithm for multi-period dynamic emergency resource scheduling problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 77-95.
    10. Douglas Paton & Petra Buergelt, 2019. "Risk, Transformation and Adaptation: Ideas for Reframing Approaches to Disaster Risk Reduction," IJERPH, MDPI, vol. 16(14), pages 1-19, July.
    11. Lin, Yen-Hung & Batta, Rajan & Rogerson, Peter A. & Blatt, Alan & Flanigan, Marie, 2012. "Location of temporary depots to facilitate relief operations after an earthquake," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 112-123.
    12. Lei Lei & Michael Pinedo & Lian Qi & Shengbin Wang & Jian Yang, 2015. "Personnel scheduling and supplies provisioning in emergency relief operations," Annals of Operations Research, Springer, vol. 235(1), pages 487-515, December.
    13. Ying Lu & Shuqi Sun, 2020. "Scenario-Based Allocation of Emergency Resources in Metro Emergencies: A Model Development and a Case Study of Nanjing Metro," Sustainability, MDPI, vol. 12(16), pages 1-21, August.
    14. Garrido, Rodrigo A. & Lamas, Patricio & Pino, Francisco J., 2015. "A stochastic programming approach for floods emergency logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 18-31.
    15. Tofighi, S. & Torabi, S.A. & Mansouri, S.A., 2016. "Humanitarian logistics network design under mixed uncertainty," European Journal of Operational Research, Elsevier, vol. 250(1), pages 239-250.
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    2. Feiyue Wang & Ziling Xie & Zhongwei Pei & Dingli Liu, 2022. "Emergency Relief Chain for Natural Disaster Response Based on Government-Enterprise Coordination," IJERPH, MDPI, vol. 19(18), pages 1-22, September.

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