In response to the frequent occurrence of sudden natural disasters, the unreasonable layout of emergency logistics nodes, and the difficulty in balancing rescue efficiency and coverage fairness in China, the work aims to construct an emergency logistics center location selection model to enhance emergency rescue efficiency and material support capabilities, thus providing scientific support for the planning of the emergency logistics system. The two-stage research approach was adopted. In the first stage, an emergency logistics capability evaluation system was constructed, and the entropy weight TOPSIS method was used to objectively screen the candidate nodes of the emergency logistics center. In the second stage, with the goal of minimizing the weighted distance of demand, the constraints such as material demand and rescue time were considered comprehensively, and the "location - allocation" model was constructed. The genetic algorithm was used for efficient solution, and Henan Province was selected as a case for empirical analysis and verification. Through the combination of the two-stage method and the genetic algorithm model, the optimal location - allocation scheme for 6 emergency logistics centers was finally obtained. The scheme could achieve the goals of universal coverage, rapid response, and balanced resource allocation. The case analysis shows that the designed method and model can effectively solve the problem of emergency logistics center location selection, have scientificity and operability, break through the limitations of single region and single disaster type application, and have reference significance for similar location selection work in other provinces. It can provide theoretical basis and practical reference for the emergency management department.
Key words
natural disasters /
genetic algorithm /
emergency logistics /
facility location selection
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