IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i2p332-d1047264.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/2/332/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/2/332/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matas, Anna & Raymond, Josep Lluis & Roig, José Luis, 2020. "Evaluating the impacts of HSR stations on the creation of firms," Transport Policy, Elsevier, vol. 99(C), pages 396-404.
    2. Zhu, Xinhua & Qian, Tiannan & Wei, Yigang, 2020. "Do high-speed railways accelerate urban land expansion in China? A study based on the multi-stage difference-in-differences model," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    3. 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.
    4. Tveter, Eivind, 2017. "The effect of airports on regional development: Evidence from the construction of regional airports in Norway," Research in Transportation Economics, Elsevier, vol. 63(C), pages 50-58.
    5. Daniel G. Chatman & Robert B. Noland, 2014. "Transit Service, Physical Agglomeration and Productivity in US Metropolitan Areas," Urban Studies, Urban Studies Journal Limited, vol. 51(5), pages 917-937, April.
    6. Lei Li & Lin Lu & Yuchen Xu & Xiaolong Sun, 2020. "The spatiotemporal evolution and influencing factors of hotel industry in the metropolitan area: An empirical study based on China," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-23, May.
    7. Moshe Givoni, 2006. "Development and Impact of the Modern High‐speed Train: A Review," Transport Reviews, Taylor & Francis Journals, vol. 26(5), pages 593-611, January.
    8. Jinxing Hu & Guojie Ma & Chaohai Shen & Xiaolan Zhou, 2022. "Impact of Urbanization through High-Speed Rail on Regional Development with the Interaction of Socioeconomic Factors: A View of Regional Industrial Structure," Land, MDPI, vol. 11(10), pages 1-21, October.
    9. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    10. Dong, Xiaofang, 2018. "High-speed railway and urban sectoral employment in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 603-621.
    11. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    12. Wang, Lei & Yuan, Feng & Duan, Xuejun, 2018. "How high-speed rail service development influenced commercial land market dynamics: A case study of Jiangsu province, China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 248-257.
    13. David Andersson & Oliver Shyr & Angel Lee, 2012. "The successes and failures of a key transportation link: accessibility effects of Taiwan’s high-speed rail," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(1), pages 203-223, February.
    14. Zheng, Longfei & Long, Fenjie & Chang, Zheng & Ye, Jingsong, 2019. "Ghost town or city of hope? The spatial spillover effects of high-speed railway stations in China," Transport Policy, Elsevier, vol. 81(C), pages 230-241.
    15. 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.
    16. Martínez Sánchez-Mateos, Héctor S. & Givoni, Moshe, 2012. "The accessibility impact of a new High-Speed Rail line in the UK – a preliminary analysis of winners and losers," Journal of Transport Geography, Elsevier, vol. 25(C), pages 105-114.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    3. Li, Xiaolong & Wu, Zongfa & Zhao, Xingchen, 2020. "Economic effect and its disparity of high speed rail in China: A study of mechanism based on synthesis control method," Transport Policy, Elsevier, vol. 99(C), pages 262-274.
    4. Chang, Zheng & Diao, Mi & Jing, Kecen & Li, Weifeng, 2021. "High-speed rail and industrial movement: Evidence from China's Greater Bay Area," Transport Policy, Elsevier, vol. 112(C), pages 22-31.
    5. Niu, Fangqu & Xin, Zhongling & Sun, Dongqi, 2021. "Urban land use effects of high-speed railway network in China: A spatial spillover perspective," Land Use Policy, Elsevier, vol. 105(C).
    6. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    7. Taotao Deng & Chen Gan & Yukun Hu, 2021. "Do hotel business benefit from increased tourist accessibility? Evidence from China’s high-speed railway program," Tourism Economics, , vol. 27(7), pages 1357-1374, November.
    8. Zhao, Yun & Yu, Hongbo, 2018. "A door-to-door travel time approach for evaluating modal competition of intercity travel: A focus on the proposed Dallas-Houston HSR route," Journal of Transport Geography, Elsevier, vol. 72(C), pages 13-22.
    9. Dominique Bouf & Christian Desmaris, 2020. "Spatial equity and high speed trains: the example of France," Post-Print halshs-01137902, HAL.
    10. Shujie Yao & Jing Fang & Hongbo He, 2020. "Can Time–Space Compression Promote Urban Economic Growth? Evidence from China's High‐speed Rail Projects," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(5), pages 90-117, September.
    11. Jin, Mengjie & Shi, Wenming & Liu, Yu & Xu, Xiaoling & Li, Kevin X., 2022. "Heterogeneous impact of high speed railway on income distribution: A case study in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    12. Liu, Jingyang & Yang, Haoran, 2023. "Income allocation and distribution along with high-speed rail development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    13. Zheng, Longfei & Long, Fenjie & Chang, Zheng & Ye, Jingsong, 2019. "Ghost town or city of hope? The spatial spillover effects of high-speed railway stations in China," Transport Policy, Elsevier, vol. 81(C), pages 230-241.
    14. Wang, Lei & Yuan, Feng & Duan, Xuejun, 2018. "How high-speed rail service development influenced commercial land market dynamics: A case study of Jiangsu province, China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 248-257.
    15. Dominique Bouf & Christian Desmaris, 2015. "High speed trains and spatial equity in France [Trains à grande vitesse et équité spatiale en France]," Working Papers halshs-01194897, HAL.
    16. Jin, Mengjie & Gu, Ruyue & Li, Kevin X. & Shi, Wenming & Xiao, Yi, 2024. "Heterogeneous impacts of the high-speed railway network on urban–rural income disparity: Spatiotemporal evidence from Yangtze River Delta of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    17. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    18. Chang, Zheng & Zheng, Longfei, 2022. "High-speed rail and the spatial pattern of new firm births: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 373-386.
    19. Yanan Jin & Guoli Ou, 2023. "The Impacts of High-Speed Rail on Producer Service Industry Agglomeration: Evidence from China’s Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    20. Tian, Meng & Wang, Yiwei & Wang, Yiran, 2023. "High-speed rail network and urban agglomeration economies: Research from the perspective of urban network externalities," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:332-:d:1047264. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.