With the expansion of the city scale, the passenger traffic of urban rail transit is increasing, and more and more rail transit stations and lines are overloaded, which puts higher requirements on the safety and reliability of urban rail transit networks. In order to analyze the topological nature of the complex network of the subway, this paper takes Suzhou City as an example, selects 93 subway stations from the three metro lines in Suzhou as of the present sample as sample data, uses complex network theory to conduct research, and builds a neighboring site based. Undirected unweighted network model. The study found that the average traffic network of Suzhou Metro is 2, the clustering coefficient is 0, and the average shortest path is 13. Through the analysis of the Suzhou Metro transportation network, it may be instructive for the future construction of the Suzhou Metro network.

Haicheng Tian, Research on Topological Characteristics of Suzhou Subway Based on Complex Network Theory. Academic Journal of Engineering and Technology Science (2019) Vol. 2: 127-136. https://doi.org/10.25236/AJETS.020024.

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