IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i19p8943-d1767298.html

Research on the Spatial Pattern of High-Quality Tourism Rural Development and Its Influencing Factors: A Case Study of the Great Mount Huang District in Anhui Province

Author

Listed:
  • Chao Liu

    (School of Architecture and Urban Planning, Anhui Jianzhu University, Hefei 230601, China)

  • Yiyu Chen

    (School of Architecture and Urban Planning, Anhui Jianzhu University, Hefei 230601, China
    China-Portugal Joint Laboratory of Cultural Heritage Conservation Science, Hefei 230601, China)

Abstract

Tourism villages represent a key breakthrough for achieving rural revitalization and integrated urban–rural development. By analyzing the spatial patterns of tourism villages in the Great Mount Huang district and their influencing factors, this study provides a scientific foundation for the high-quality development of rural tourism and for the enhancement and sustainable management of regional leisure tourism systems. Using methods such as the nearest neighbor index, kernel density, geographic detector, and geographically weighted regression analysis, the results reveal: (1) the spatial distribution of tourism villages in the Great Mount Huang district exhibits significant clustering and unevenness, forming a spatial pattern characterized by “one cluster, two cores, and three points”; Anqing City shows the most concentrated and uneven distribution of tourism villages; (2) the number of Grade A tourist attractions and cultural resources are dominant factors; tourism culture and natural environment are the most influential dimensions affecting the spatial distribution of tourism villages in the Great Mount Huang district; the development of rural tourism requires consideration of multiple aspects and factors, emphasizing multidimensional coordination; (3) the average slope and the number of Grade A tourist attractions exhibit the greatest spatial variability, while the average elevation shows the lowest spatial variability; average elevation, average slope, per capita disposable income, the number of Grade A tourist attractions, and cultural resources all show a positive correlation with the distribution of tourism villages.

Suggested Citation

  • Chao Liu & Yiyu Chen, 2025. "Research on the Spatial Pattern of High-Quality Tourism Rural Development and Its Influencing Factors: A Case Study of the Great Mount Huang District in Anhui Province," Sustainability, MDPI, vol. 17(19), pages 1-26, October.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:19:p:8943-:d:1767298
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/19/8943/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/19/8943/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Walter Christaller, 1964. "Some Considerations Of Tourism Location In Europe: The Peripheral Regions‐Underdeveloped Countries‐Recreation Areas," Papers in Regional Science, Wiley Blackwell, vol. 12(1), pages 95-105, January.
    2. Tang, Kai & Li, Zhenshan & He, Chun, 2023. "Spatial distribution pattern and influencing factors of relative poverty in rural China," Innovation and Green Development, Elsevier, vol. 2(1).
    3. Qiuyu Zou & Jianwei Sun & Jing Luo & Jiaxing Cui & Xuesong Kong, 2023. "Spatial Patterns of Key Villages and Towns of Rural Tourism in China and Their Influencing Factors," Sustainability, MDPI, vol. 15(18), pages 1-16, September.
    4. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    5. Yunxing Zhang & Weizhen Li & Ziyang Li & Meiyu Yang & Feifei Zhai & Zhigang Li & Heng Yao & Haidong Li, 2022. "Spatial Distribution Characteristics and Influencing Factors of Key Rural Tourism Villages in China," Sustainability, MDPI, vol. 14(21), pages 1-26, October.
    6. May-Chiun Lo & Sharon Cheuk Choy-Sheung & Abang Azlan Mohamad & Chee-Hua Chin, 2018. "Local Communities Perceptions on Rural Tourism Competitive Advantage: A Study on Kampung Bako (Bako National Park), Kuching, Sarawak," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 8(10), pages 918-928.
    7. Julin Li & Tongsheng Li & Bingchen Zhu & Yilin Wang & Xieyang Chen & Ruikuan Liu, 2023. "The Spatial Pattern and Influencing Factors of Traffic Dominance in Xi’an Metropolitan Area," Land, MDPI, vol. 12(6), pages 1-20, May.
    8. May-Chiun Lo & Sharon Cheuk Choy-Sheung & Abang Azlan Mohamad & Chee-Hua Chin, 2018. "Local Communities Perceptions on Rural Tourism Competitive Advantage: A Study on Kampung Bako (Bako National Park), Kuching, Sarawak," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 8(10), pages 918-928, October.
    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. Yi You & Hongjie Wu & Lingyu Xu, 2025. "Analysis on the “History–Space” Inter-Construction Mechanism of Traditional Villages Based on Multi-Historical Elements: A Case Study of Nankou Town, Northwest Beijing," Land, MDPI, vol. 14(10), pages 1-21, October.
    2. Yanzhao Wang & Jianfei Cao, 2023. "Examining the Effects of Socioeconomic Development on Fine Particulate Matter (PM2.5) in China’s Cities Based on Spatial Autocorrelation Analysis and MGWR Model," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
    3. Shichao Lu & Zhihua Zhang & M. James C. Crabbe & Prin Suntichaikul, 2024. "Effects of Urban Land-Use Planning on Housing Prices in Chiang Mai, Thailand," Land, MDPI, vol. 13(8), pages 1-13, July.
    4. Yang, Zhiwei & Liu, Han & Chen, Xiaohong & Zhou, Jun & Yuan, Quan, 2025. "Discovering the origins of freight demand: An empirical investigation of spatial heterogeneity in the generation of heavy-duty truck trips," Transport Policy, Elsevier, vol. 164(C), pages 60-79.
    5. Yujin Lu & Xingmeng Xu & Gaoru Zhu & Yuting Peng & Yi Li & Xueyan Zhao, 2024. "Land Space and High-Speed Transportation Coordinated Development Evaluation in the Beijing–Tianjin–Hebei Urban Agglomeration of China," Land, MDPI, vol. 13(10), pages 1-27, October.
    6. Tianwen Li & Xiaohui Wang & Longsheng Wang & Yu Ye & Yige Zhang & Yanfeng Zhang & Shimou Yao, 2026. "Evaluating the spatiotemporal impacts of urban spatial structure on urban vitality: an exploratory study using big geo-data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 75(1), pages 1-30, March.
    7. Xiaodong Zhang & Haoying Han & Yongjun Tang & Zhilu Chen, 2023. "Spatial Distribution Characteristics and Driving Factors of Tourism Resources in China," Land, MDPI, vol. 12(5), pages 1-16, May.
    8. Jack C. Yue & Ming-Huei Tu & Yin-Yee Leong, 2024. "A spatial analysis of the health and longevity of Taiwanese people," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(2), pages 384-399, April.
    9. Yigong Hu & Binbin Lu & Yong Ge & Guanpeng Dong, 2022. "Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression," Environment and Planning B, , vol. 49(6), pages 1715-1740, July.
    10. Ya-Di Dai & Hui-Guo Zhang, 2025. "Non-Iterative Estimation of Multiscale Geographically and Temporally Weighted Regression Model," Mathematics, MDPI, vol. 13(9), pages 1-16, April.
    11. Tao Wang & Kai Zhang & Keliang Liu & Keke Ding & Wenwen Qin, 2023. "Spatial Heterogeneity and Scale Effects of Transportation Carbon Emission-Influencing Factors—An Empirical Analysis Based on 286 Cities in China," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    12. Junfeng Wang & Shaoyao Zhang & Wei Deng & Qianli Zhou, 2024. "Metropolitan Expansion and Migrant Population: Correlation Patterns and Influencing Factors in Chengdu, China," Land, MDPI, vol. 13(1), pages 1-19, January.
    13. Xin Lao & Hengyu Gu, 2020. "Unveiling various spatial patterns of determinants of hukou transfer intentions in China: A multi‐scale geographically weighted regression approach," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1860-1876, December.
    14. Zhenbao Wang & Jiarui Song & Yuchen Zhang & Shihao Li & Jianlin Jia & Chengcheng Song, 2022. "Spatial Heterogeneity Analysis for Influencing Factors of Outbound Ridership of Subway Stations Considering the Optimal Scale Range of “7D” Built Environments," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
    15. Jiansheng Qu & Lina Liu & Jingjing Zeng & Tek Narayan Maraseni & Zhiqiang Zhang, 2022. "City-Level Determinants of Household CO 2 Emissions per Person: An Empirical Study Based on a Large Survey in China," Land, MDPI, vol. 11(6), pages 1-14, June.
    16. Li Yue & Hongbo Zhao & Xiaoman Xu & Tianshun Gu & Zeting Jia, 2022. "Quantifying the Spatial Fragmentation Pattern and Its Influencing Factors of Urban Land Use: A Case Study of Pingdingshan City, China," Land, MDPI, vol. 11(5), pages 1-15, May.
    17. Zhang, Wei & Li, Yuqing & Zheng, Caigui, 2023. "The distribution characteristics and driving mechanism of vacant land in Chengdu, China: A perspective of urban shrinkage and expansion," Land Use Policy, Elsevier, vol. 132(C).
    18. Cui, Pengfei & Abdel-Aty, Mohamed & Wang, Chenzhu & Yang, Xiaobao & Song, Dongdong, 2025. "Examining the impact of spatial inequality in socio-demographic and commute patterns on traffic crash rates: Insights from interpretable machine learning and spatial statistical models," Transport Policy, Elsevier, vol. 167(C), pages 222-245.
    19. Pengzhi Wei & Shaofeng Xie & Liangke Huang & Lilong Liu, 2021. "Ingestion of GNSS-Derived ZTD and PWV for Spatial Interpolation of PM 2.5 Concentration in Central and Southern China," IJERPH, MDPI, vol. 18(15), pages 1-26, July.
    20. Longjiang Zhang & Guoping Chen & Junsan Zhao & Yilin Lin & Haibo Yang & Jianhua He, 2025. "Spatiotemporal Characteristics and Scale Effects of Ecosystem Service Bundles in the Xijiang River Basin: Implications for Territorial Spatial Planning and Sustainable Land Management," Sustainability, MDPI, vol. 17(5), pages 1-23, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:17:y:2025:i:19:p:8943-:d:1767298. 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.