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

Author

Listed:
  • Chang Liu

    (Beijing Jiaotong University)

  • Dan Chang

    (Beijing Jiaotong University)

  • Daqing Gong

    (Beijing Jiaotong University)

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.

Suggested Citation

  • Chang Liu & Dan Chang & Daqing Gong, 2025. "Research on Geographic Network Analysis of China High-Speed Railway from the Perspective of Complex Network," Lecture Notes in Operations Research,, Springer.
    • Handle: RePEc:spr:lnopch:978-981-96-9697-0_47
    DOI: 10.1007/978-981-96-9697-0_47
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