Abstract: Most of the existing research on rail transit network modeling is based on unauthorized network models, which can not reflect the characteristics of the network well, the thesis takes the New York rail transit network as the research object, adopts the complex network theory and Space L method, considers that there may be multiple lines between two stations, constructs a New York rail transit weighted network model, and uses the relevant characteristic indicators of the complex network to analyze the characteristics of the New York rail transit network. Compared with the unauthorized network, it is found that the weight of the New York rail transit weighted network has a certain correlation with the topology, the network has both small world and scale-free characteristics. Through random attacks and multiple deliberate attack strategies, this paper researches the robustness of the New York rail transit network.

Key words: rail transit network, complex network, weighted network model, robustness