多层级协同的地铁应急救援基地选址优化OA

Subway systems feature natural vulnerability to disasters and accidents.As the subways of major cities are entering a network-operated era,problems such as unreasonable site selection and low rescue efficiency emerge in China's subway emergency rescue bases.However,the existing research lacks consideration of hierarchy and collaborative rescue.Therefore,by adopting rescue time as a constraint,this paper proposed a multi-level collaborative multi-objective optimization model for site selection of subway emergency rescue bases to realize minimized time penalties,reduced average rescue distances,and the least number of selected sites.Meanwhile,a genetic algorithm was designed for the solution,and a case study was conducted by taking Nanchang Metro as an example.The results demonstrate that compared with single road rescue and single subway rescue,the regional-level subway emergency rescue bases that adopt collaborative rescue reduces the values of time penalty function by 71.54%and 73.82%,the average rescue time by 14.71%and 20.58%,and the number of selected sites by 20.83%and 9.52%respectively.