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Measuring Community Greening Merging Multi-Source Geo-Data

Author

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  • Weiying Gu

    (Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, P.R.C., Shenzhen 518060, China
    Pingshan Center for Urban Planning and Land Affairs of Shenzhen, Shenzhen 518118, China)

  • Yiyong Chen

    (Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, P.R.C., Shenzhen 518060, China
    Shenzhen Key Laboratory of Built Environment Optimization, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China)

  • Muye Dai

    (High School Department, Shenzhen Experimental School, Shenzhen 518055, China)

Abstract

Urban residential greening provides opportunities for social integration and physical exercise. These activities are beneficial to promoting citizens’ mental health, relieving stress, and reducing obesity and violent crimes. However, how to measure the distribution and spatial difference of green resources in urban residential areas have been controversial. This study takes the greening of urban residential units in Shenzhen City as its research object, measures the various greening index values of each residential unit, and analyses the spatial distribution characteristics of residential greening, regional differences, and influencing factors. A large sample of street view pictures, urban land use and high-resolution remote sensing image data are employed to establish an urban residential greening database containing 14,196 residential units. This study proposes three greening indicators, namely, green coverage index, green view index, and accessible public green land index, for measuring the green coverage of residential units, the visible greening of surrounding street space and the public green land around, respectively. Results show that (1) the greening level of residential units in Shenzhen City is generally high, with the three indicators averaging 32.7%, 30.5%, and 15.1%, respectively; (2) the types of residential greening differ per area; and (3) the level of residential greening is affected by development intensity, location, elevation and residential type. Such findings can serve as a reference for improving the greening level of residential units. This study argues that one indicator alone cannot measure the greenness of a residential community. It proposes an accessible public green land index as a measure for the spatial relationship between residential units and green lands. It suggests that future green space planning should pay more attention to the spatial distribution of green land, and introduce quantitative indicators to ensure sufficient green lands around the walking range of residential areas.

Suggested Citation

  • Weiying Gu & Yiyong Chen & Muye Dai, 2019. "Measuring Community Greening Merging Multi-Source Geo-Data," Sustainability, MDPI, vol. 11(4), pages 1-14, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1104-:d:207460
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    References listed on IDEAS

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    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Larson, Lincoln R. & Keith, Samuel J. & Fernandez, Mariela & Hallo, Jeffrey C. & Shafer, C. Scott & Jennings, Viniece, 2016. "Ecosystem services and urban greenways: What's the public's perspective?," Ecosystem Services, Elsevier, vol. 22(PA), pages 111-116.
    3. Bertram, Christine & Rehdanz, Katrin, 2015. "The role of urban green space for human well-being," Ecological Economics, Elsevier, vol. 120(C), pages 139-152.
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    Cited by:

    1. 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.
    2. Xiaohuan Xie & Hanzhi Zhou & Zhonghua Gou & Ming Yi, 2021. "Spatiotemporal Patterns of the Use of Green Space by White-Collar Workers in Chinese Cities: A Study in Shenzhen," Land, MDPI, vol. 10(10), pages 1-25, September.

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