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The evolution of accessibility surface of China in the high-speed-rail era

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  • Yi Zhu
  • Mi Diao
  • Gang Fu

Abstract

Numerous studies have investigated the accessibility effect of High Speed Rail (HSR) in China based on projected rail travel time across cities. This study aims to contribute to the literature by visualizing the evolution of the accessibility surface (as measured by economic potential) of China in the HSR era based on real travel time by train between station pairs and analyzing HSR’s potential impacts on the spatial disparity of China. We find that the development of HSR has significantly increased the economic potential of Chinese cities. In the meantime, cities with HSR access and cities in the prosperous eastern region benefitted more from the HSR-induced accessibility improvement compared with non-HSR cities and cities in the hinterland. Therefore, instead of contributing to diminishing regional disparity, HSR may lead to greater spatial unevenness in China.

Suggested Citation

  • Yi Zhu & Mi Diao & Gang Fu, 2016. "The evolution of accessibility surface of China in the high-speed-rail era," Environment and Planning A, , vol. 48(11), pages 2108-2111, November.
    • Handle: RePEc:sae:envira:v:48:y:2016:i:11:p:2108-2111
    DOI: 10.1177/0308518X15619935
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    Cited by:

    1. Wang, De-gen & Niu, Yu & Qian, Jia, 2018. "Evolution and optimization of China's urban tourism spatial structure: A high speed rail perspective," Tourism Management, Elsevier, vol. 64(C), pages 218-232.
    2. Zheng Chang & Mi Diao, 2022. "Inter-city transport infrastructure and intra-city housing markets: Estimating the redistribution effect of high-speed rail in Shenzhen, China," Urban Studies, Urban Studies Journal Limited, vol. 59(4), pages 870-889, March.
    3. Yu, Danlin & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Li, Guangdong, 2021. "The varying effects of accessing high-speed rail system on China’s county development: A geographically weighted panel regression analysis," Land Use Policy, Elsevier, vol. 100(C).
    4. Jiao, Jingjuan & Zhao, Hongyu & Lyu, Guowei, 2024. "How does high-speed rail affect off-site investments? Evidence from the Yangtze River Delta, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    5. Diao, Mi, 2018. "Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 279-290.
    6. 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.
    7. Mi Diao & Yi Zhu & Jiren Zhu, 2017. "Intra-city access to inter-city transport nodes: The implications of high-speed-rail station locations for the urban development of Chinese cities," Urban Studies, Urban Studies Journal Limited, vol. 54(10), pages 2249-2267, August.
    8. Tanaka, Koichi, 2023. "Impacts of the opening of the maglev railway on daily accessibility in Japan: A comparative analysis with that of the Shinkansen," Journal of Transport Geography, Elsevier, vol. 106(C).
    9. Xinshuo Hou & Dongyang Li & Jianghuan Peng, 2022. "Does High-Speed Rail Really Have a Positive Effect on City Consumption? A PSM-DID Approach With China Case," Journal of Regional Economics, Anser Press, vol. 1(1), pages 48-67, December.
    10. Lu, Yuxin & Sica, Edgardo & Wolszczak-Derlacz, Joanna, 2024. "Global value chains, wages, employment and labour production in China: A regional approach," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 124-142.
    11. Yu, Danlin & Murakami, Daisuke & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Wang, Xiaoxi & Li, Guangdong, 2020. "Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 21-37.

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