Exploring the Characteristics of High-speed RAILWAY Network Based on Complex Network Theory

With the development of high-speed railway in China, it is very important to analyze and evaluate the highspeed railway network. In this paper, we extracted 36 cities from Chinese high-speed railway information and built a topological network to analyze the Chinese high-speed railway network based on complex network theory. Then degree distribution, betweenness, clustering coefficient and other network characteristics were selected to analyze the topological properties of Chinese high-speed railway geographical network. By calculation, the degree value of most nodes is 1, and the average aggregation coefficient is 0.695. When 55% of nodes are deliberately attacked, the global efficiency of the network is zero. The results show that the high-speed railway network accessibility is good, the accessibility of urban is relatively high.