Multilevel coverage location model of earthquake relief material storage repository considering distribution time sequence characteristics

作     者：Xianjun Guan Han Zhou Mengxin Li Ligang Zhou Huayou Chen Xianjun Guan;Han Zhou;Mengxin Li;Ligang Zhou;Huayou Chen

作者机构：School of Economics and ManagementTongji UniversityShanghai 200092China School of Mathematical SciencesAnhui UniversityHefei 230601China 

出 版 物：《Journal of Traffic and Transportation Engineering(English Edition)》 (交通运输工程学报（英文版）)

年 卷 期：2021年第8卷第2期

页      面：209-224页

核心收录：

学科分类：070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学] 

基　　金：supported by the Humanities and Social Sciences Fund of the Ministry of Education of China in 2020 (project no.20YJA630021) National Natural Science Foundation of China in 2012 (project no.71272047) 

主　　题：Earthquake Emergency supplies repository Location Coverage problem Multi-objective optimization NSGA-Ⅱ 

摘      要：The scientific location of earthquake emergency supply warehouses is conducive to the effective distribution of emergency relief resources and improved rescue efficiency in earthquake hazard. Comprehensively considering the regional population as well as coverage quality at the demand points, this paper aims to divide the coverage thresholds of earthquake emergency rescue and logistic supplies according to their time-series features,and to build a location model for supply warehouses according to the variety and amount of stored supplies considering their time-series features, in hope of optimizing the set covering issue of earthquake relief supply warehouses. The solution is approached with two methods: the target deviation rate minimization model and NSGA-Ⅱ algorithm. The results obtained by solving the target deviation rate minimization model can balance every target. The branch and bound algorithm can find the global optimal solution at a certain calculation scale with high calculation efficiency, but its efficiency decreases significantly when the operation scale increases. The NSGA-Ⅱ algorithm is more suitable for large-scale solution calculations with high calculation efficiency, and it can output a set of non-inferior solutions for decision makers to select from according to different preference. Taking Aba Prefecture in Sichuan Province as illustration, the feasibility of the model is validated;meanwhile, the effectiveness and benefits of the two approaches in solving the problem of multi-objective set covering of the warehouses are compared and analyzed.