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Residents’ Preference for Urban Green Space Types and Their Ecological-Social Services in China

Author

Listed:
  • Wudong Zhao

    (Department of Geography, School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Liwei Zhang

    (Department of Geography, School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
    Department of Geography, School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China)

  • Xupu Li

    (Department of Geography, School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Lixian Peng

    (Department of Geography, School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Pengtao Wang

    (School of Tourism &Research Institute of Human Geography, Xi’an International Studies University, Xi’an 710128, China)

  • Zhuangzhuang Wang

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Lei Jiao

    (Department of Geography, School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Hao Wang

    (Department of Geography, School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

Abstract

With accelerated urbanization and rapid expansion of the urban population, there is an increasing demand among urban residents for urban green spaces (UGS) and the ecosystem services (ES) they provide. The existing research mostly focuses on the spatial pattern of UGS types and ES provided by different UGS but ignores that residents’ preferences for UGS types and their ecological and social services should also be incorporated into the spatial planning decision-making of UGS. A web-based questionnaire was distributed randomly in urban areas of China and 1050 valid samples were collected in this study. Descriptive statistical analysis methods, structural equation modeling, and Pearson correlation were used to parse the residents’ preference for both UGS types, ecological–social services, and the relevant impact factors. The results showed that: (1) the strongest preference of residents for UGS and their ecological and social services are the attached green space, “beautifying the city”, and “physical and mental relaxation”, respectively; (2) the leading factors for residents’ access to UGS are “age” and “sufficient time”, except for attached green space. The most significant effect on both ecological and social services is the “season” factor. Further, “social gathering” and “exercise” are the services most and least likely to be affected. (3) Future planning of UGS should reinforce construction of attached green space and improve the aesthetics-related ES they provide. Construction of park green space and plaza green space should be enhanced to deal with the aging trend in society. Further, maintaining the existing construction of attached green space and building regional green space are crucial to the sustainability of UGS and its ecological–social services.

Suggested Citation

  • Wudong Zhao & Liwei Zhang & Xupu Li & Lixian Peng & Pengtao Wang & Zhuangzhuang Wang & Lei Jiao & Hao Wang, 2022. "Residents’ Preference for Urban Green Space Types and Their Ecological-Social Services in China," Land, MDPI, vol. 11(12), pages 1-20, December.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:12:p:2239-:d:997801
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    References listed on IDEAS

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    2. Ryohei Ogawa & Ye Zhang & Vouchlay Theng & Zhongyu Guo & Manna Wang & Chihiro Yoshimura, 2023. "Capacity Assessment of Urban Green Space for Mitigating Combined Sewer Overflows in the Tokyo Metropolitan Area," Land, MDPI, vol. 12(5), pages 1-16, April.
    3. Ma, Hao & Xing, Zhong & Cheng, Canhui & Zhao, Lu, 2024. "Can wild urban woodlands be integrated into urban green infrastructure? Insights from urbanites and new urbanites in Chongqing, China," Forest Policy and Economics, Elsevier, vol. 169(C).
    4. Jaewon Han & Sugie Lee, 2023. "Verification of Immersive Virtual Reality as a Streetscape Evaluation Method in Urban Residential Areas," Land, MDPI, vol. 12(2), pages 1-16, January.
    5. Jin Li & Hai-Li Zhang & Fanxin Meng & Wei Wang & Chen Wang & Runzi Wang & Yinghui Cao & Mir Muhammad Nizamani & Zongshan Zhao & Hui Xue, 2025. "The Influence of Environmental Knowledge and Religiosity on Public Preferences for Ecosystem Services in Urban Green Spaces—An Example from China," Sustainability, MDPI, vol. 17(5), pages 1-25, March.

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