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Industrial Spatio-Temporal Distribution of High-Speed Rail Station Area from the Accommodation Facilities Perspective: A Multi-City Comparison

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  • Bingjie Niu

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Ping Yin

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Pengxia Shen

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

Abstract

As a new engine of urban development, the high-speed rail (HSR) station area is an emerging location where the service industry is concentrated. This study aims to reflect the development of accommodation facilities in transport hub areas through the spatial distribution and agglomeration characteristics of the lodging industry in HSR station areas. HSR stations in Beijing, Tianjin, Nanjing, Jinan, Kunshan, and Xuzhou are selected. The Geodetector model is applied to analyze the pertinent driving factors. The findings indicate that: (1) The smaller the population size of the city, the closer the high agglomeration area of the accommodation industry in the HSR station area is to the HSR station. (2) The longer the HSR station is open, the stronger the agglomeration intensity of the accommodation industry is. (3) At HSR stations in various cities, the driving factors affecting the accommodation industry are heterogeneous. The interaction between the factors has a synergistic enhancement effect.

Suggested Citation

  • Bingjie Niu & Ping Yin & Pengxia Shen, 2023. "Industrial Spatio-Temporal Distribution of High-Speed Rail Station Area from the Accommodation Facilities Perspective: A Multi-City Comparison," Land, MDPI, vol. 12(2), pages 1-16, January.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:332-:d:1047264
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    References listed on IDEAS

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