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The Spatial Structure Evolution of China's High-Speed Rail Network and Its Impacts on Real Estate Investment

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Abstract

The construction of China's large-scale high-speed rail (HSR) could exert a significant impact on the connectivity of urban networks in the long run. Through the dominance index of city nodes and the strength index of city links, the evolution of Chinese HSR networks has been explored based on frequency flow data from 2007 to 2017. Meanwhile, this paper uses a spatial econometric model to test the impact of the evolution of HSR networks on real estate investment agglomeration. Our examination shows that, as China's HSR network expands spatially, connectivity between cities improves, and the spatial structure of China's urban systems tends to be less hierarchical and polycentric. HSR networks promote the spatial agglomeration of real estate investment in cities connected by HSR. Although the influence of population scale, manufacturing scale, per capita GDP, and the degree of openness on real estate investment is greater than that of HSR network connection, the impact of the proportion of residential (commercial service) land and per capita GDP on real estate investment is less than that of HSR network connection. China's HSR network connection can expand the spatial agglomeration effect of site cities' real estate investment. The urban land use structure, such as the proportion of residential (commercial) land and the degree of openness, can promote a spatial spillover effect of real estate investment.

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Notes

  1. G train is a high-speed railway with a speed of more than 300 kilometers per hour; D train is the train with a speed of 200-300 kilometers per hour; C train is an intercity train with a speed of 100-200 kilometers per hour

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Acknowledgements

This work was supported by grants from the National Natural Science Foundation of China (42001123), Shanghai Pujiang Program (2019PJC034), Shanghai Philosophy and Social Science Project(2019ECK011), the Fundamental Research Funds for the Central Universities, the Major Program of National Fund of Philosophy and Social Science of China (20&ZD070, 20&ZD099), and 2020 Yunnan University of Finance and Economics Science research Foundation Project (2020D10).

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Authors and Affiliations

  1. The Centre for Modern Chinese City Studies & The Institute for Global Innovation and Development & Research Center for China Administrative Division & Future City Lab, East China Normal University, Shanghai, China

    Yang Haoran

  2. School of Urban and Regional Science, East China Normal University, Shanghai, China

    Wang Cong

  3. International Business School, Yunnan University of Finance and Economics, Kunming, China

    You Youyang

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  1. Yang Haoran
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  2. Wang Cong
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Correspondence to You Youyang.

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Haoran, Y., Cong, W. & Youyang, Y. The Spatial Structure Evolution of China's High-Speed Rail Network and Its Impacts on Real Estate Investment. Appl. Spatial Analysis 15, 49–69 (2022). https://doi.org/10.1007/s12061-021-09390-7

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