IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i6p1170-d1161953.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/6/1170/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/6/1170/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    4. 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).
    5. 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.
    6. Gao, Chunliu & Cheng, Li, 2020. "Tourism-driven rural spatial restructuring in the metropolitan fringe: An empirical observation," Land Use Policy, Elsevier, vol. 95(C).
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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).
    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. Moaaz Kabil & Mohamed Abouelseoud & Faisal Alsubaie & Heba Mostafa Hassan & Imre Varga & Katalin Csobán & Lóránt Dénes Dávid, 2022. "Evolutionary Relationship between Tourism and Real Estate: Evidence and Research Trends," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    2. Biyue Wang & Martin de Jong & Ellen van Bueren & Aksel Ersoy & Yanchun Meng, 2023. "Transit-Oriented Development in China: A Comparative Content Analysis of the Spatial Plans of High-Speed Railway Station Areas," Land, MDPI, vol. 12(9), pages 1-21, September.
    3. Jianzhuang Zheng & Lingyan Huang, 2022. "Characterizing the Spatiotemporal Patterns and Key Determinants of Homestay Industry Agglomeration in Rural China Using Multi Geospatial Datasets," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    4. 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.
    5. Chengkun Huang & Feiyang Lin & Deping Chu & Lanlan Wang & Jiawei Liao & Junqian Wu, 2021. "Coupling Relationship and Interactive Response between Intensive Land Use and Tourism Industry Development in China’s Major Tourist Cities," Land, MDPI, vol. 10(7), pages 1-17, July.
    6. Ellen Banzhaf & Sally Anderson & Gwendoline Grandin & Richard Hardiman & Anne Jensen & Laurence Jones & Julius Knopp & Gregor Levin & Duncan Russel & Wanben Wu & Jun Yang & Marianne Zandersen, 2022. "Urban-Rural Dependencies and Opportunities to Design Nature-Based Solutions for Resilience in Europe and China," Land, MDPI, vol. 11(4), pages 1-25, March.
    7. Qingqing Yang & Yanhui Gao & Xinjun Yang & Jian Zhang, 2022. "Rural Transformation Driven by Households’ Adaptation to Climate, Policy, Market, and Urbanization: Perspectives from Livelihoods–Land Use on Chinese Loess Plateau," Agriculture, MDPI, vol. 12(8), pages 1-23, July.
    8. Wei Zheng & Hongliang Qiu & Alastair M. Morrison & Wei Wei & Xihua Zhang, 2022. "Landscape and Unique Fascination: A Dual-Case Study on the Antecedents of Tourist Pro-Environmental Behavioral Intentions," Land, MDPI, vol. 11(4), pages 1-20, March.
    9. 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.
    10. Deng, Taotao & Wang, Dandan & Hu, Yukun & Liu, Shuang, 2020. "Did high-speed railway cause urban space expansion? ——Empirical evidence from China's prefecture-level cities," Research in Transportation Economics, Elsevier, vol. 80(C).
    11. Wancong Li & Hong Li & Shijun Wang & Zhiqiang Feng, 2022. "Spatiotemporal Evolution of County-Level Land Use Structure in the Context of Urban Shrinkage: Evidence from Northeast China," Land, MDPI, vol. 11(10), pages 1-19, October.
    12. Diao, Mi, 2018. "Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 279-290.
    13. Xinyao Li & Lingzhi Wang & Bryan Pijanowski & Lingpeng Pan & Hichem Omrani & Anqi Liang & Yi Qu, 2022. "The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province," Land, MDPI, vol. 11(11), pages 1-16, November.
    14. Ustaoglu, E. & Sisman, S. & Aydınoglu, A.C., 2021. "Determining agricultural suitable land in peri-urban geography using GIS and Multi Criteria Decision Analysis (MCDA) techniques," Ecological Modelling, Elsevier, vol. 455(C).
    15. Lei Yan & Xubin Lei & Kairong Hong & Hui Li & Mengyuan Chen, 2022. "Improving Farmer Willingness to Participate in the Transfer of Land Rights in Rural China: A Preference-Based Income Distribution Scheme," Land, MDPI, vol. 11(3), pages 1-22, March.
    16. Stanislav Endel & Marek Teichmann & Dagmar Kutá, 2020. "Possibilities of House Valuation Automation in the Czech Republic," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    17. Jingjing Liu & Jing Wang & Tianlin Zhai & Zehui Li, 2022. "The Response of Ecologically Functional Land to Changes in Urban Economic Growth and Transportation Construction in China," IJERPH, MDPI, vol. 19(21), pages 1-17, November.
    18. 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.
    19. Huang, Yan & Zong, Huiming, 2022. "The intercity railway connections in China: A comparative analysis of high-speed train and conventional train services," Transport Policy, Elsevier, vol. 120(C), pages 89-103.
    20. Jing Gong & Hongyan Du & Zhi Wang, 2022. "Analysis of the Influences of Ecological Compensation Projects on Transfer Employment of Rural Labor from the Perspective of Capability," Land, MDPI, vol. 11(9), pages 1-14, September.

    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:6:p:1170-:d:1161953. 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.