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Graph theoretical analysis of the Chinese high-speed rail network over time

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  • Chen, Cheng
  • D'Alfonso, Tiziana
  • Guo, Huanxiu
  • Jiang, Changmin

Abstract

In this paper, we examine the development of the Chinese high-speed rail (HSR) network over the period 2003–2014. Our methodology relies on network analysis to identify changes over time in HSR network accessibility measured by node degree, strength, closeness, and betweenness. We show that sub-networks connecting regional centres with second-tier cities are first built. Once such sub-networks are mostly established, they are also connected with each other. Moreover, a simultaneous rather than a sequential schedule for multiple HSR segments is at place at any particular time. Finally, we show that the HSR network expands all the lower-elevation, more populous and prosperous regions. Although some clusters are critical politically, HSR network development is still mainly driven by economic factors, which is reflected from the fact that nodes in the more economically vibrant regions present a higher number of routes passing through and higher service quality (i.e., lower travel time). Finally, in order to illustrate the uniqueness of the Chinese HSR development pattern, we briefly discuss and compare the HSR development in other Asian markets, notably Taiwan, South Korea and Japan.

Suggested Citation

  • Chen, Cheng & D'Alfonso, Tiziana & Guo, Huanxiu & Jiang, Changmin, 2018. "Graph theoretical analysis of the Chinese high-speed rail network over time," Research in Transportation Economics, Elsevier, vol. 72(C), pages 3-14.
  • Handle: RePEc:eee:retrec:v:72:y:2018:i:c:p:3-14
    DOI: 10.1016/j.retrec.2018.07.030
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Wang, Kun & Jiang, Changmin & Ng, Adolf K.Y. & Zhu, Zhenran, 2020. "Air and rail connectivity patterns of major city clusters in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 35-53.
    2. Xinshuo Hou, 2019. "High-Speed Railway and City Tourism in China: A Quasi-Experimental Study on HSR Operation," Sustainability, MDPI, Open Access Journal, vol. 11(6), pages 1-1, March.
    3. Liu, Shuli & Wan, Yulai & Zhang, Anming, 2020. "Does China’s high-speed rail development lead to regional disparities? A network perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 299-321.
    4. Bracaglia, Valentina & D'Alfonso, Tiziana & Nastasi, Alberto & Sheng, Dian & Wan, Yulai & Zhang, Anming, 2020. "High-speed rail networks, capacity investments and social welfare," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 308-323.
    5. Zhang, Hui & Cui, Houdun & Wang, Wei & Song, Wenbo, 2020. "Properties of Chinese railway network: Multilayer structures based on timetable data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    6. Wang, Lei, 2018. "High-speed rail services development and regional accessibility restructuring in megaregions: A case of the Yangtze River Delta, China," Transport Policy, Elsevier, vol. 72(C), pages 34-44.

    More about this item

    Keywords

    Graph theory; High-speed rail; China; Centralities;

    JEL classification:

    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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