In order to analyze the topological properties of complex Metro network, this paper takes Shenzhen as an example, choosing 8 metro lines in Shenzhen as of August 2019 and 168 station nodes as sample data, and constructing a complex network model based on adjacent stations using complex network theory. This method takes metro traffic stations as nodes and metro traffic lines between adjacent stations as edges, which makes the network have the topological properties of complex networks. The characteristics of node degree, average degree, agglomeration coefficient, average shortest path and centrality in the network are analyzed. In addition, the importance of these sites is explored by some important nodes deliberately destroying. By calculating, it is found that the nodes of Shenzhen Metro network occupied a large proportion between 14 and 30, which is 84%. The average node degree of Shenzhen metro network is 29.6, and the average node degree is between 14 and 30. It shows that Shenzhen Metro has serious traffic connectivity. After deleting the important seven nodes, the average node degree decreases by 4, the average shortest path increases by 0.3, and the network diameter or clustering coefficient changes relatively small, showing that these seven nodes play an important role in the transfer trip and can effectively reduce the average transfer times. These laws provide a new reference for optimizing Shenzhen metro traffic network and traffic planning development.

Hailong Wang. Topological Properties and Destruction Resistance Analysis of Shenzhen Metro Network. Academic Journal of Engineering and Technology Science (2019) Vol. 2 Issue 3: 24-35. https://doi.org/10.25236/AJETS.020052.

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