Research on entropy weight multiple criteria decision‐making evaluation of metro network vulnerability

Abstract When the subway network system has insufficient resilience and strong vulnerability, the network operation function will be greatly attenuated or even lost due to the failure of key nodes or lines. Evaluating the vulnerability of the metro network is one of the keys to prevent and control risks. This paper proposes an entropy weight multiple criteria decision‐making evaluation method that combines the vulnerability indexes of agglomeration, network efficiency, and network traffic with the multiple criteria decision‐making method, classifies the vulnerability of subway stations with a clustering idea, and analyzes the most vulnerable area of the Beijing Metro network with the Newman fast algorithm. The results show that this method can evaluate the node vulnerability of metro networks more accurately and effectively by considering the topological vulnerability, functional vulnerability, and human flow function vulnerability of the networks. According to the node vulnerability value, the stations can be divided into five grades: The station at the intersection of the loop and radial lines and its adjacent stations have a higher vulnerability level. The vulnerability level of the downtown core area and suburban line terminal stations is relatively low, and the areas with the greatest vulnerability of the Beijing Metro network are mainly located on the east and west sides of the core city.