灾害学2024，Vol.39Issue(1)：75-79,5.DOI:10.3969/j.issn.1000-811X.2024.01.013
拥挤约束型城市应急物资储备库网络功能优化模型
Functional Optimization Model of Urban Emergency Material Reserve Network Considering the Congestion Scenario
摘要
Abstract
The reasonable reserve,transportation and distribution of emergency materials are the basis of dis-aster prevention,mitigation and relief in emergency management.In the process of major risk disposal,the deploy-ment of emergency material is easy to delay due to congestion.So,it is extremely necessary to consider the con-straints of congestion situation.However,the current research on emergency material reserve allocation considering congested constraints and combining with the regional facts needs to be strengthened both in breadth and depth.Therefore,the optimization problem of urban emergency material reserve network with constraints of congested sce-nario is put forward.Based on the queuing theory and traditional function optimization model of emergency material reserve,the congested constraint conditions are designed,and the objective function of the traditional emergency fa-cility location model is improved from the perspectives of decreasing demand satisfaction degree along with distance within the coverage radius,diversification of transportation modes,and complexity of traffic access degree.The sin-gle-objective facility location model with incapacity and congested constraint is constructed,and the heuristic al-gorithm is designed to solve the problem.The model is applied to the optimization of the emergency material reserve network in Shijiazhuang,Hebei Province,and the direction of further research is proposed from the perspectives of urban agglomeration,multi-impact and hierarchical optimization.关键词
设施选址/城市应急物资储备库网络/拥挤系统/功能优化模型/石家庄市Key words
facility location/network of urban emergency material reserve/congested system/functional opti-mization model/Shijiazhuang City分类
资源环境引用本文复制引用
陆相林,赵佳娜,陈景昭..拥挤约束型城市应急物资储备库网络功能优化模型[J].灾害学,2024,39(1):75-79,5.基金项目
河北省自然科学基金资助项目"京津冀城市群应急物资储备库网络协同发展研究"(D2019106020) （D2019106020）
