IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i18p3318-d913682.html
   My bibliography  Save this article

High-Speed Rail Network Structural Characteristics and Evolution in China

Author

Listed:
  • Lili Xu

    (Department of Economics and Trade, Dalian Maritime University, Dalian 116026, China)

  • Fanrui Su

    (Department of Economics and Trade, Dalian Maritime University, Dalian 116026, China)

  • Jie Zhang

    (Department of Economics and Trade, Dalian Maritime University, Dalian 116026, China)

  • Na Zhang

    (Department of Economics and Trade, Dalian Maritime University, Dalian 116026, China)

Abstract

Based on high-speed rail (HSR) network data from 2008 to 2020, this study explores the structural characteristics and evolution of China’s HSR network from the perspective of the overall network and urban node network centrality. We show that the overall connectivity of the HSR network has improved significantly, whereas the accessibility of the HSR network has improved slightly. Furthermore, both the density and accessibility of the HSR network in different regions gradually show a decreasing trend from the east coast zone to the southwest. We also find that from the perspective of urban node network centrality, cities with high degree centrality and high betweenness centrality are densely distributed along the northern coast, eastern coast, as well as middle reaches of both the Yellow and Yangtze Rivers. Finally, the node cities have shown a significant increase in both degree centrality and betweenness centrality; thus, both the hub role and radiation capacity have improved. Our study suggests that the government should closely monitor the development of HSR networks in the western region.

Suggested Citation

  • Lili Xu & Fanrui Su & Jie Zhang & Na Zhang, 2022. "High-Speed Rail Network Structural Characteristics and Evolution in China," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:18:p:3318-:d:913682
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/18/3318/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/18/3318/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    2. Lu, Juan & Li, He, 2022. "Can high-speed rail improve enterprise capacity utilization? A perspective of supply side and demand side," Transport Policy, Elsevier, vol. 115(C), pages 152-163.
    3. Wang, Lvhua & Liu, Yongxue & Sun, Chao & Liu, Yahui, 2016. "Accessibility impact of the present and future high-speed rail network: A case study of Jiangsu Province, China," Journal of Transport Geography, Elsevier, vol. 54(C), pages 161-172.
    4. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun, 2017. "Impacts of high-speed rail lines on the city network in China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 257-266.
    5. Wang, Juan & Li, Chao & Xia, Chengyi, 2018. "Improved centrality indicators to characterize the nodal spreading capability in complex networks," Applied Mathematics and Computation, Elsevier, vol. 334(C), pages 388-400.
    6. Chen, Chia-Lin, 2012. "Reshaping Chinese space-economy through high-speed trains: opportunities and challenges," Journal of Transport Geography, Elsevier, vol. 22(C), pages 312-316.
    7. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    8. Hossain, Md. Murad & Alam, Sameer, 2017. "A complex network approach towards modeling and analysis of the Australian Airport Network," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 1-9.
    9. Xu, Lili & Fan, Xinying & Luan, Weixin, 2020. "Strategic corporate social responsibility of high-speed rail in China," China Economic Review, Elsevier, vol. 62(C).
    10. Ma, Wenliang & Wang, Qiang & Yang, Hangjun & Zhang, Anming & Zhang, Yahua, 2019. "Effects of Beijing-Shanghai high-speed rail on air travel: Passenger types, airline groups and tacit collusion," Research in Transportation Economics, Elsevier, vol. 74(C), pages 64-76.
    11. Min Su & Weixin Luan & Zeyang Li & Shulin Wan & Zhenchao Zhang, 2019. "Evolution and Determinants of an Air Transport Network: A Case Study of the Chinese Main Air Transport Network," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    12. Chung, Hye Min & Kwon, Oh Kyoung & Han, Ok Soon & Kim, Hwa-Joong, 2020. "Evolving network characteristics of the asian international aviation market: A weighted network approach," Transport Policy, Elsevier, vol. 99(C), pages 299-313.
    13. Guo, Ying & Cao, Lingyan & Song, Ying & Wang, Yan & Li, Yongkui, 2022. "Understanding the formation of City-HSR network: A case study of Yangtze River Delta, China," Transport Policy, Elsevier, vol. 116(C), pages 315-326.
    14. Wang, Feng & Wei, Xianjin & Liu, Juan & He, Lingyun & Gao, Mengnan, 2019. "Impact of high-speed rail on population mobility and urbanisation: A case study on Yangtze River Delta urban agglomeration, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 99-114.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Yan & Zong, Huiming, 2020. "The spatial distribution and determinants of China’s high-speed train services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 56-70.
    2. Yang, Zhiwei & Li, Can & Jiao, Jingjuan & Liu, Wei & Zhang, Fangni, 2020. "On the joint impact of high-speed rail and megalopolis policy on regional economic growth in China," Transport Policy, Elsevier, vol. 99(C), pages 20-30.
    3. Yang, Xiaolan & Wang, Rui & Guo, Dongmei & Sun, Weizeng, 2020. "The reconfiguration effect of China's high-speed railway on intercity connection ——A study based on media attention index," Transport Policy, Elsevier, vol. 95(C), pages 47-56.
    4. Chen, Fanglin & Hao, Xinyue & Chen, Zhongfei, 2021. "Can high-speed rail improve health and alleviate health inequality? Evidence from China," Transport Policy, Elsevier, vol. 114(C), pages 266-279.
    5. Li, Tao & Rong, Lili, 2021. "Impacts of service feature on vulnerability analysis of high-speed rail network," Transport Policy, Elsevier, vol. 110(C), pages 238-253.
    6. Junhui Shi & Fang Wang, 2022. "The Effect of High-Speed Rail on Cropland Abandonment in China," Land, MDPI, vol. 11(7), pages 1-16, July.
    7. Guo, Ying & Cao, Lingyan & Song, Ying & Wang, Yan & Li, Yongkui, 2022. "Understanding the formation of City-HSR network: A case study of Yangtze River Delta, China," Transport Policy, Elsevier, vol. 116(C), pages 315-326.
    8. Jinxing Hu & Guojie Ma & Chaohai Shen & Xiaolan Zhou, 2022. "Impact of Urbanization through High-Speed Rail on Regional Development with the Interaction of Socioeconomic Factors: A View of Regional Industrial Structure," Land, MDPI, vol. 11(10), pages 1-21, October.
    9. Mohsen Momenitabar & Raj Bridgelall & Zhila Dehdari Ebrahimi & Mohammad Arani, 2021. "Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World," Sustainability, MDPI, vol. 13(21), pages 1-27, November.
    10. Wu, Bingyu & Levinson, David M., 2024. "A multi-modal analysis of the effect of transport on population and productivity in China," Journal of Transport Geography, Elsevier, vol. 116(C).
    11. Hiramatsu, Tomoru, 2023. "Inter-metropolitan regional migration galvanized by high-speed rail: A simulation analysis of the Linear Chuo Shinkansen line in Japan," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    12. Zhao, Yun & Yu, Hongbo, 2018. "A door-to-door travel time approach for evaluating modal competition of intercity travel: A focus on the proposed Dallas-Houston HSR route," Journal of Transport Geography, Elsevier, vol. 72(C), pages 13-22.
    13. Sun, Xinyu & Yan, Sen & Liu, Tao & Wang, Jiayin, 2023. "The impact of high-speed rail on urban economy: Synergy with urban agglomeration policy," Transport Policy, Elsevier, vol. 130(C), pages 141-154.
    14. Bai, Bingfeng, 2022. "Strategic business management for airport alliance: A complex network approach to simulation robustness analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    15. You He & Alex de Sherbinin & Guoqing Shi & Haibin Xia, 2022. "The Economic Spatial Structure Evolution of Urban Agglomeration under the Impact of High-Speed Rail Construction: Is There a Difference between Developed and Developing Regions?," Land, MDPI, vol. 11(9), pages 1-17, September.
    16. Xu, Wangtu (Ato) & Long, Ying & Zhang, Wei, 2019. "Prioritizing future funding and construction of the planned high-speed rail corridors of China – According to regional structure and urban land development potential indices," Transport Policy, Elsevier, vol. 81(C), pages 381-395.
    17. Min Su & Baoyang Hu & Yipeng Jiang & Zhenchao Zhang & Zeyang Li, 2022. "Relationship between the Chinese Main Air Transport Network and COVID-19 Pandemic Transmission," Mathematics, MDPI, vol. 10(13), pages 1-17, July.
    18. Min Su & Weixin Luan & Zeyang Li & Shulin Wan & Zhenchao Zhang, 2019. "Evolution and Determinants of an Air Transport Network: A Case Study of the Chinese Main Air Transport Network," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    19. Jin, Mengjie & Shi, Wenming & Liu, Yu & Xu, Xiaoling & Li, Kevin X., 2022. "Heterogeneous impact of high speed railway on income distribution: A case study in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    20. Chen, Fanglin & Chen, Zhongfei, 2023. "High-speed rail and happiness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:18:p:3318-:d:913682. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.