Research on Geographic Network Analysis of China High-Speed Railway from the Perspective of Complex Network

Chang Liu (), Dan Chang () and Daqing Gong ()
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Chang Liu: Beijing Jiaotong University
Dan Chang: Beijing Jiaotong University
Daqing Gong: Beijing Jiaotong University

A chapter in LISS 2024, 2025, pp 615-623 from Springer

Abstract: Abstract China has become the country with the most highspeed railway facilities, and Chinese residents are enjoying the convenience brought by high-speed railway. Based on the complex network theory, this paper uses high-speed rail line data and high-speed train operation data in 2022 and uses Ucinet software to analyze the topology of the high-speed rail geographic and high-speed rail traffic networks. The results show a problem of poor clustering in the high-speed rail geographic network, and there is still a lot of room for improvement in the construction of the whole high-speed rail network. The high-speed rail traffic flow network has high aggregation. Through the reasonable arrangement of the operation of high-speed trains, the density of the high-speed rail network is improved, and the accessibility of each station is improved. Most of the top stations in the centrality-related indicators are located in provincial capital cities, regional central cities, or economic development centers. The polarization of the centrality is serious, the overall structure of the high-speed rail network is unbalanced, and the high-speed rail line planning and train operation planning need to be further optimized.

Keywords: complex network; high-speed railway; clustering coefficient; centrality (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-981-96-9697-0_47

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