In order to realize the identification and protection of critical stations in urban rail transit,a site selection model of emergency rescue points considering node importance was proposed.The urban rail transit network was constructed based on the complex network theory,and the evaluation method of node importance was established from three aspects of node topology attributes,station attributes and network connectivity attributes.A multi-objective site selection model of emergency rescue points under the weighting of node importance with the largest comprehensive coverage level,the shortest maximum rescue re-sponse time and the lowest construction cost was constructed.Taking the Wuhan metro network as an example,the entropy weight-TOPSIS method was used to determine the importance of a total of 262 nodes in the network,and a variable neighbor-hood genetic algorithm was designed to optimize the solution.The results show that under four weighting schemes,relative to without considering node importance,the objective in the comprehensive coverage level obtained by this method increase by 1.44％,1.06％,2.51％and 2.90％,respectively.At the same time,it can effectively reduce the maximum rescue response time and construction cost,identify and protect the critical stations.The research results help to improve the overall emergency response capability of the network.
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