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Evolution and optimization of China's urban tourism spatial structure: A high speed rail perspective

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  • Wang, De-gen
  • Niu, Yu
  • Qian, Jia

Abstract

High-speed rail (HSR) networks in China profoundly altered China's urban tourism spatial patterns. This paper examines the characteristics and evolution of spatial patterns of the urban hinterland before and after HSR network. Economic relation model and spatial analysis in ArcGIS were utilized on 338 national prefecture-level administrative units. The results show: (1) HSR strengthens tourism-based economic relationships between cities, and demonstrates a “corridor” effect of the spatial distribution of the change rates of tourism external economic relationships; (2) Center cities with larger tourism comprehensive scale are enhanced with expanding trans-province hinterland; the hinterland of central cities are enlarged, of which spatial linkages between the hinterlands are increased; (3) the competition and difference for the hinterland of central cities are intensified. Based on these, this paper proposes a tourism spatial structure with 19 urban agglomerations, 6 1st-class and 21 2nd -class tourist economic zones, and strategies for optimizing China's tourist space.

Suggested Citation

  • Wang, De-gen & Niu, Yu & Qian, Jia, 2018. "Evolution and optimization of China's urban tourism spatial structure: A high speed rail perspective," Tourism Management, Elsevier, vol. 64(C), pages 218-232.
    • Handle: RePEc:eee:touman:v:64:y:2018:i:c:p:218-232
    DOI: 10.1016/j.tourman.2017.08.010
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    8. Huanhuan Hua & Amare Wondirad, 2020. "Tourism Network in Urban Agglomerated Destinations: Implications for Sustainable Tourism Destination Development through a Critical Literature Review," Sustainability, MDPI, vol. 13(1), pages 1-16, December.
    9. Yin, Ping & Lin, Zhibin & Prideaux, Bruce, 2019. "The impact of high-speed railway on tourism spatial structures between two adjoining metropolitan cities in China: Beijing and Tianjin," Journal of Transport Geography, Elsevier, vol. 80(C).
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    11. Wang, Chao & Chen, Junjing & Li, Boyan & Chen, Nengcheng & Wang, Wei, 2023. "Impact of high-speed railway construction on spatial patterns of regional economic development along the route: A case study of the Shanghai–Kunming high-speed railway," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
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    13. Ren, Xiaohang & Zeng, Gudian & Dong, Kangyin & Wang, Kun, 2023. "How does high-speed rail affect tourism development? The case of the Sichuan-Chongqing Economic Circle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    14. Yu, Danlin & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Li, Guangdong, 2021. "The varying effects of accessing high-speed rail system on China’s county development: A geographically weighted panel regression analysis," Land Use Policy, Elsevier, vol. 100(C).
    15. Xinshuo Hou, 2019. "High-Speed Railway and City Tourism in China: A Quasi-Experimental Study on HSR Operation," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    16. Ping Yin & Francesca Pagliara & Alan Wilson, 2019. "How Does High-Speed Rail Affect Tourism? A Case Study of the Capital Region of China," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    17. Xinshuo Hou, 2022. "Tourism Network Attention Variation of Chinese Cities under the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(9), pages 1, April.
    18. 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.
    19. 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).
    20. Huili Yan & Guanghui Qiao & Hao Xiong & Bruce Prideaux, 2020. "Understanding the Local Sustainable Economic Development from New “3D” Perspective: Case of Hainan Island," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    21. Yongquan Li & Rui Li & Wenqi Ruan & Chih-Hsing Liu, 2020. "Research of the Effect of Tourism Economic Contact on the Efficiency of the Tourism Industry," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    22. Yu, Danlin & Murakami, Daisuke & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Wang, Xiaoxi & Li, Guangdong, 2020. "Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 21-37.
    23. Zhang, Yaoyu & Liu, Jin & Wang, Bo, 2022. "The impact of High-Speed Rails on urban expansion: An investigation using an SDID with dynamic effects method," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    24. Bo Zhou & Zhihong Wen & Ian Sutherland & Seul Ki Lee, 2022. "The spatial heterogeneity and dynamics of tourism-flow spillover effect: The role of high-speed train in China," Tourism Economics, , vol. 28(2), pages 300-324, March.
    25. 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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