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Incorporating High-Speed Rail Development Scenario for Tourism Land Use Simulation: A Case Study of Xinxing County, China

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  • Zhenzhi Jiao

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Shaoying Li

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Zhangping Lin

    (School of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, China)

  • Zhipeng Lai

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Zhuo Wu

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Lin Liu

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
    Department of Geography, University of Cincinnati, Cincinnati, OH 45221-0131, USA)

Abstract

High-speed rail (HSR) has been proven to drive the development of regional tourism. However, few studies paid attention to the impact of HSR on future tourism land use. In this study, points of interest (POI) were used to obtain the locations and types of tourism facilities, and high-resolution remote sensing images helped us determine the spatial extents of the tourism facilities, so that tourism land could be identified. A system dynamics (SD) model was coupled with the patch-generating land use simulation (PLUS) model to simulate future tourism land by considering two scenarios, including HSR-led development (HRD) and the historical development pattern (HD) scenario. The SD model was employed to project the amount of tourism land and determine the HSR effects via empirical analysis. The PLUS model was applied to simulate the spatial distribution of tourism land and model the HSR effect by adopting a planned tourism area as the development area. The study area is Xinxing County in Guangdong Province, China, a county dominated by rural tourism, with the HSR expected to open in 2025. The results revealed that the SD-PLUS model has great advantages in simulating tourism land use change, and the HRD scenario leads to major changes in the sources of tourism land growth. This research provides new insights for policymakers on making countermeasures for the sustainability of tourism and rural revitalization at the county level.

Suggested Citation

  • Zhenzhi Jiao & Shaoying Li & Zhangping Lin & Zhipeng Lai & Zhuo Wu & Lin Liu, 2023. "Incorporating High-Speed Rail Development Scenario for Tourism Land Use Simulation: A Case Study of Xinxing County, China," Land, MDPI, vol. 12(6), pages 1-18, June.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:6:p:1170-:d:1161953
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    References listed on IDEAS

    as
    1. Gao, Chunliu & Cheng, Li, 2020. "Tourism-driven rural spatial restructuring in the metropolitan fringe: An empirical observation," Land Use Policy, Elsevier, vol. 95(C).
    2. 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.
    3. Chang, Zheng & Zheng, Longfei & Yang, Tianren & Long, Fenjie, 2022. "High-speed rail, new town development, and the spatial mismatch of land leases in China," Land Use Policy, Elsevier, vol. 115(C).
    4. Basse, Reine Maria, 2013. "A constrained cellular automata model to simulate the potential effects of high-speed train stations on land-use dynamics in trans-border regions," Journal of Transport Geography, Elsevier, vol. 32(C), pages 23-37.
    5. Zhipeng Lai & Chengjing Chen & Jianguo Chen & Zhuo Wu & Fang Wang & Shaoying Li, 2022. "Multi-Scenario Simulation of Land-Use Change and Delineation of Urban Growth Boundaries in County Area: A Case Study of Xinxing County, Guangdong Province," Land, MDPI, vol. 11(9), pages 1-18, September.
    6. Grażyna Furgała-Selezniow & Małgorzata Jankun-Woźnicka & Marek Kruk & Aneta A. Omelan, 2021. "Land Use and Land Cover Pattern as a Measure of Tourism Impact on a Lakeshore Zone," Land, MDPI, vol. 10(8), pages 1-14, July.
    7. Li, Jinghui & Bai, Yang & Alatalo, Juha M., 2020. "Impacts of rural tourism-driven land use change on ecosystems services provision in Erhai Lake Basin, China," Ecosystem Services, Elsevier, vol. 42(C).
    8. Huiqiang Ma & Jianchao Xi & Qing Wang & Jiale Liu & Zhigang Gong, 2020. "Spatial Complex Morphological Evolution and Influencing Factors for Mountain and Seaside Resort Tourism Destinations," Complexity, Hindawi, vol. 2020, pages 1-11, August.
    9. Chen, Zhenhua & Zhou, Yulong & Haynes, Kingsley E., 2021. "Change in land use structure in urban China: Does the development of high-speed rail make a difference," Land Use Policy, Elsevier, vol. 111(C).
    10. Gomes, Eduardo & Abrantes, Patrícia & Banos, Arnaud & Rocha, Jorge, 2019. "Modelling future land use scenarios based on farmers’ intentions and a cellular automata approach," Land Use Policy, Elsevier, vol. 85(C), pages 142-154.
    11. Chen, Kunqiu & Long, Hualou & Liao, Liuwen & Tu, Shuangshuang & Li, Tingting, 2020. "Land use transitions and urban-rural integrated development: Theoretical framework and China’s evidence," Land Use Policy, Elsevier, vol. 92(C).
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