Ranking the Importance of Metro Stations Based on the Entropy Weighting Method

With the expansion of the urban rail transit network and the growth of passenger flow, the difficulty of its transport organization increases, and the requirements for safety and reliability are enhanced. Based on the complex network theory, it is crucial to identify the key stations and implement targeted management to enhance the destructive capability and operational efficiency of the system. This paper introduces the basic concepts and typical models of complex networks, takes the Chengdu rail transit network as the research object, constructs the topology by using the Space L method, and calculates the station ordering under the indices of degree centrality, meso-centrality, and Closeness Centrality. Aiming at the limitation of a single index, the entropy weighting method is introduced to weight and integrate the three types of indices, and a comprehensive evaluation model is constructed to obtain a more scientific and comprehensive station importance ranking result.