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Exploring the Quality of Urban Green Spaces Based on Urban Neighborhood Green Index—A Case Study of Guangzhou City

Author

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  • Zhanqiang Zhu

    (Guangdong Provincial Engineering Research Center for Public Security and Disaster, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University, Guangzhou 510275, China)

  • Wei Lang

    (Guangdong Provincial Engineering Research Center for Public Security and Disaster, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University, Guangzhou 510275, China)

  • Xiaofang Tao

    (Guangdong Provincial Engineering Research Center for Public Security and Disaster, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University, Guangzhou 510275, China)

  • Jiali Feng

    (Guangdong Provincial Engineering Research Center for Public Security and Disaster, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

  • Kai Liu

    (Guangdong Provincial Engineering Research Center for Public Security and Disaster, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

Abstract

Urban green space (UGS), as a form of green infrastructure, has been given increasing attention in urban planning and its policies. The quality of a UGS is fundamental for the sustainable development of the urban economy, society, environment, and quality of human life, although UGS is unevenly distributed within cities. Aiming to analyze the quality of UGS at the scale of Jiedaos in China, this paper took Haizhu district in Guangzhou as a case study based on collected data from 2010 and aerial imagery from 2012. The Urban Neighborhood Green Index (UNGI) was established by combining four weighted parameters: the green index (P1), the density of buildings (P2), proximity to green areas (P3) and building height (P4). Results from comparing with green index show that (1) the UNGI performed better for UGS planning due to its ability of uncovering impact of the built environment and its accessibility on quality of UGS; (2) the UGS has significant effects on neighbors, which underlies social inequity of UGS supply and presents rich information for urban planning and decision making; (3) a small green field attaching to a community plays a key role in fulfilling the need of neighbors for green space, fitness, and leisure in China, which is usually ignored due to the ownership of private property. It suggests recognizing UGS and improving its quality in old towns as well as improving urban villages characterized by poor quality of green space with green infrastructures. The UNGI can inform city planners regarding their consideration of UGS, and it can contribute to measurements of sustainability and the development of green infrastructure.

Suggested Citation

  • Zhanqiang Zhu & Wei Lang & Xiaofang Tao & Jiali Feng & Kai Liu, 2019. "Exploring the Quality of Urban Green Spaces Based on Urban Neighborhood Green Index—A Case Study of Guangzhou City," Sustainability, MDPI, vol. 11(19), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5507-:d:273642
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    References listed on IDEAS

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    2. Zhiming Li & Xiyang Chen & Zhou Shen & Zhengxi Fan, 2022. "Evaluating Neighborhood Green-Space Quality Using a Building Blue–Green Index (BBGI) in Nanjing, China," Land, MDPI, vol. 11(3), pages 1-18, March.
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    5. Mine K. Bolkaner & Buket Asilsoy, 2023. "Reinventing the Urban Neighborhood Green Index in the Context of Urban Ecology as a Conceptual Framework in Northern Nicosia, Cyprus," Sustainability, MDPI, vol. 15(18), pages 1-25, September.
    6. Juntti, Meri & Ozsezer-Kurnuc, Sevda, 2023. "Factors influencing the realisation of the social impact of urban nature in inner-city environments: A systematic review of complex evidence," Ecological Economics, Elsevier, vol. 211(C).

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