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

Bingjie Niu, Ping Yin () and Pengxia Shen
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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

Land, 2023, vol. 12, issue 2, 1-16

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.

Keywords: high-speed rail station; accommodation industry; spatial distribution; agglomeration; driving factors; multi-city (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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