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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?

Author

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  • You He

    (School of Public Administration, Hohai University, Nanjing 211106, China
    Center for International Earth Science Information Network, The Earth Institute, Columbia University, New York, NY 10964, USA)

  • Alex de Sherbinin

    (Center for International Earth Science Information Network, The Earth Institute, Columbia University, New York, NY 10964, USA)

  • Guoqing Shi

    (School of Public Administration, Hohai University, Nanjing 211106, China)

  • Haibin Xia

    (School of Geographic Sciences, East China Normal University, Shanghai 200241, China)

Abstract

It is foreseeable that the next few decades will be the golden age of high-speed rail (HSR) development, with many new construction plans emerging. The construction of the HSR will inevitably cause an impact on the economic spatial structure of urban agglomeration, but it is still unclear whether the impacts differ between economically developed and developing areas. How and to what extent do such differences exist? Based on the modified gravity model, this paper employs a social network analysis method and selects the Yangtze River Delta and Sichuan-Chongqing (Chuanyu) urban agglomeration as the research area to analyze the differences. The main conclusions are as follows. With the construction of HSR: (1) The network density and the average economic connection of urban agglomerations have shown a trend of gradual increase. (2) The number of core areas in developed regions has gradually increased, but there were no changes in the center of developing regions. (3) In developed regions, the new metropolitan areas are the cities that have benefited the most from the HSR construction. In developing regions, the central city with difficult topography benefits the most. (4) The network structure of developed regions tends to be more balanced. The edge cities in developing regions are getting farther from the center.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1551-:d:913245
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    References listed on IDEAS

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    1. Zhangfeng Yao & Kunhui Ye & Liang Xiao & Xiaowei Wang, 2021. "Radiation Effect of Urban Agglomeration’s Transportation Network: Evidence from Chengdu–Chongqing Urban Agglomeration, China," Land, MDPI, vol. 10(5), pages 1-21, May.
    2. Duo Chai & Dong Zhang & Yonghao Sun & Shan Yang, 2020. "Research on the City Network Structure in the Yellow River Basin in China Based on Two-Way Time Distance Gravity Model and Social Network Analysis Method," Complexity, Hindawi, vol. 2020, pages 1-19, December.
    3. Carlos Sánchez-González & Rosa M. García-Fernández, 2020. "A Multivariate Indicator to Compute Middle Class Population," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 1-14, January.
    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. Xu, Hengzhou & Jiao, Man, 2021. "City size, industrial structure and urbanization quality—A case study of the Yangtze River Delta urban agglomeration in China," Land Use Policy, Elsevier, vol. 111(C).
    6. Shengjun Zhu & Chong Wang & Canfei He, 2019. "High-speed Rail Network and Changing Industrial Dynamics in Chinese Regions," International Regional Science Review, , vol. 42(5-6), pages 495-518, September.
    7. Wen Chen & Komali Yenneti & Yehua Dennis Wei & Feng Yuan & Jiawei Wu & Jinlong Gao, 2019. "Polycentricity in the Yangtze River Delta Urban Agglomeration (YRDUA): More Cohesion or More Disparities?," Sustainability, MDPI, vol. 11(11), pages 1-18, June.
    8. Xueyi Qin & Yongsheng Qian & Junwei Zeng & Xuting Wei, 2022. "Accessibility and Economic Connections between Cities of the New Western Land–Sea Corridor in China—Enlightenments to the Passageway Strategy of Gansu Province," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
    9. Zhicheng Xu & Tianshi Sun, 2021. "The Siphon effects of transportation infrastructure on internal migration: evidence from China’s HSR network," Applied Economics Letters, Taylor & Francis Journals, vol. 28(13), pages 1066-1070, July.
    10. Qiaowen Lin & Mengyu Xiang & Lu Zhang & Jinjiang Yao & Chao Wei & Sheng Ye & Hongmei Shao, 2021. "Research on Urban Spatial Connection and Network Structure of Urban Agglomeration in Yangtze River Delta—Based on the Perspective of Information Flow," IJERPH, MDPI, vol. 18(19), pages 1-20, September.
    11. Jiangjun Wan & Yuxin Li & Chunchi Ma & Tian Jiang & Yi Su & Lingqing Zhang & Xueqian Song & Haiying Sun & Ziming Wang & Yutong Zhao & Kaili Zhang & Jinxiu Yang, 2021. "Measurement of Coupling Coordination Degree and Spatio-Temporal Characteristics of the Social Economy and Ecological Environment in the Chengdu–Chongqing Urban Agglomeration under High-Quality Develop," IJERPH, MDPI, vol. 18(21), pages 1-18, November.
    12. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    13. Wu, Yizhong & Lee, Chien-Chiang & Lee, Chi-Chuan & Peng, Diyun, 2022. "Geographic proximity and corporate investment efficiency: Evidence from high-speed rail construction in China," Journal of Banking & Finance, Elsevier, vol. 140(C).
    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.
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