摘要
基于现有的研究成果,结合地震灾害的特点以及应急救援活动的原则,从人员因素、基础设施损毁程度、物资需求、地区因素等四个方面构建了震后受灾点需求紧迫性分级指标体系,利用熵权法计算各指标的权重系数,建立了地震灾害下受灾点需求紧迫分级的熵权TOPSIS综合评价模型,通过判断与理想解的相对贴合度对受灾点紧迫度进行排序,从而得出最优的救援顺序。不仅使得应急物资调度更加科学、有效,同时可为应急物资调度决策者提供有效支持和参考。
Based on the existing research results, combined with the characteristics of earthquake disasters and the principles governing emergency rescue activities, we built a demand urgency grading index system for disaster impact sites from the four aspects of human factor, degree of damage to infrastructure, material needs, and regional factor. Then, we used the entropy weight method to calculate the weight coefficient of each index, and established a comprehensive entropy weighted TOPSIS evaluation model, which, based on the relative fit degree with the ideal solution, ranked the demand urgency of the impact sites, so as to obtain the optimal rescue order, which not only makes emergency material dispatching more scientific and effective, but also provides effective support and reference for emergency material dispatching decision makers.
作者
李泳璇
LI Yongxuan(School of Transportation Science&Engineering,Civil Aviation University of China,Tianjin 300300,China)
出处
《物流技术》
2023年第1期60-64,共5页
Logistics Technology
关键词
地震灾害
受灾点
需求紧迫性分级
应急物资调度
应急救援
earthquake disaster
disaster impact site
demand urgency grading
emergency material dispatching
emergency rescue
