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Mapping and Assessing the Supply and Demand of Rural Recreation Services in National Parks: A Case Study of Qianjiangyuan, Zhejiang, China

Author

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  • Xiaodong Chen

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Chengzhao Wu

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

Abstract

National parks not only protect natural resources but also provide a variety of cultural ecosystem services, with their rural areas serving as important locations for providing rural recreation services (RRS). Spatial quantification of RRS supply and demand will contribute to ensuring the protection and promotion of human well-being in national parks. In this study, we proposed an integrated framework to map and assess the spatial distribution of RRS supply and demand in Changhong Township, located within Qianjiangyuan National Park. We used a combination of spatial analysis and the MaxEnt model as tools, which played a positive role in saving time when modeling areas providing cultural ecosystem services. Based on the findings, the study area was divided into different zones to propose spatial planning measures. The results showed that (1) the MaxEnt model was robust in mapping RRS supply. RRS supply and demand distribution had high spatial heterogeneity. (2) The proportion of areas where RRS supply exceeded demand was 72.58%, primarily distributed in areas with a high level of naturalness at the periphery of the study area. (3) This study divided Changhong Township into four types of zones: developed recreation service area, potential recreation service area, recreation service demand area, and marginal recreation service area. We proposed suggestions for the scientific utilization and management of RRS in each zone. Overall, our findings provide a scientific basis for planning rural recreation spaces within national parks, promoting the comprehensive utilization of rural cultural ecosystem services.

Suggested Citation

  • Xiaodong Chen & Chengzhao Wu, 2025. "Mapping and Assessing the Supply and Demand of Rural Recreation Services in National Parks: A Case Study of Qianjiangyuan, Zhejiang, China," Land, MDPI, vol. 14(2), pages 1-16, February.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:2:p:302-:d:1581769
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    References listed on IDEAS

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    1. Tardieu, Léa & Tuffery, Laëtitia, 2019. "From supply to demand factors: What are the determinants of attractiveness for outdoor recreation?," Ecological Economics, Elsevier, vol. 161(C), pages 163-175.
    2. Yoshimura, Nobuhiko & Hiura, Tsutom, 2017. "Demand and supply of cultural ecosystem services: Use of geotagged photos to map the aesthetic value of landscapes in Hokkaido," Ecosystem Services, Elsevier, vol. 24(C), pages 68-78.
    3. You Zuo & Lin Zhang, 2023. "Research on Local Ecosystem Cultural Services in the Jiangnan Water Network Rural Areas: A Case Study of the Ecological Green Integration Demonstration Zone in the Yangtze River Delta, China," Land, MDPI, vol. 12(7), pages 1-21, July.
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    7. E. Seda Arslan & Ömer K. Örücü, 2021. "MaxEnt modelling of the potential distribution areas of cultural ecosystem services using social media data and GIS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2655-2667, February.
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    9. Léa Tardieu & Laetitia Tufféry, 2019. "From supply to demand factors : what are the determinants of attractiveness for outdoor recreation?," Post-Print hal-02883545, HAL.
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    Cited by:

    1. Xin Huang & Cheng Li & Jie Zhao & Shuang Chen & Minghui Gao & Haodong Liu, 2025. "Investigating Spatial Heterogeneity Patterns and Coupling Coordination Effects of the Cultural Ecosystem Service Supply and Demand: A Case Study of Taiyuan City, China," Land, MDPI, vol. 14(6), pages 1-34, June.
    2. Yasin Yaman & Seda Örücü, 2025. "Spatial Distribution of Cultural Ecosystem Services in Rural Landscapes Using PGIS and SolVES," Sustainability, MDPI, vol. 17(14), pages 1-18, July.

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