期刊
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
卷 19, 期 13, 页码 -出版社
MDPI
DOI: 10.3390/ijerph19137876
关键词
natural disaster chain; emergency resource allocation; multiobjective optimization; path planning
资金
- National Natural Science Foundation of China [51974362]
- Graduate Research and Innovation Project of Central South University [2021zzts0784]
This study proposes a multiobjective emergency resource allocation model considering uncertainty under the natural disaster chain. The proposed model and algorithm optimize timeliness, efficiency, and fairness in actual rescue, achieving the visualization of emergency trips and intelligent avoidance of risk areas.
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.
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