Research on Location of Emergency Parking Point Based on Station Detention Risk

Abstract

With the expansion of urban rail transit operation network and the rapid growth of passenger flow, the problems of station detention risk and emergency response are gradually paid attention to. Based on the analysis of influencing factors of passenger detention in urban rail transit stations, this paper constructs a risk evaluation index system and back propagation (Back-propagation,BP) and Neural Network Model. Combined with the improved P- center location model, the service matching scheme. for emergency public transportation parking points is obtained. according to the case solution and comparative study of schemes, whether to consider risk weight affects the relative importance of stations in the location process. The average distance between them is reduced by 0.8%~8.4%, but it has little influence on the coverage effect of public emergency service in the whole research area, which is conducive to the rational and efficient use of emergency resources.