Exploring Optimal Location of Emergency Resources Based Complex Network and Node Importance Analysis in Urban Rail Transit

With the development of urban rail transit (URT), the vulnerable nodes and optimal emergency resource distribution in the URT network change dynamically with the network structure. The present work is dedicated to the identification of vulnerable nodes and the optimal location of emergency resources. The evaluation indexes for node importance are determined through complex network theory. Based on above, the node importance of URT stations was calculated through the entropy weight method and the TOPSIS analysis method. Moreover, the optimal distribution of emergency points in URT is analyzed to improve the timeliness of emergency rescue. Finally, the general distribution patterns about important stations and optimal emergency points of URT networks in different construction stages are summarized. The results suggest that the proposed method can provide references for the identification of vulnerable nodes and the location of emergency points in URT networks, and improve the emergency capability of urban rail transit.