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

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 assist...

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Bibliographic Details
Published in:International journal of environmental research and public health 2022-06, Vol.19 (13), p.7876
Main Authors: Wang, Feiyue, Xie, Ziling, Liu, Hui, Pei, Zhongwei, Liu, Dingli
Format: Article
Language:English
Subjects:
Algorithms
Avoidance
Chains
Control theory
Decision making
Disasters
Dynamic response
Emergency preparedness
Emergency response
Evacuations & rescues
Fuzzy sets
Genetic algorithms
Government regulations
Integer programming
Logistics
Multiple objective analysis
Natural disasters
Path planning
Planning
Public safety
Resource allocation
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Summary: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.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph19137876