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Assessing Inequality in Urban Green Spaces with Consideration for Physical Activity Promotion: Utilizing Spatial Analysis Techniques Supported by Multisource Data

Author

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  • Yunjing Hou

    (College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

  • Yiming Liu

    (College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

  • Yuxin Wu

    (College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

  • Lei Wang

    (College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

Abstract

Urban green spaces (UGSs) play a significant role in promoting public health by facilitating outdoor activities, but issues of spatial and socioeconomic inequality within UGSs have drawn increasing attention. However, current methods for assessing UGS inequality still face challenges such as data acquisition difficulties and low identification accuracy. Taking Harbin as a case study, this research employs various advanced technologies, including Python data scraping, drone imagery collection, and Amap API, to gather a diverse range of data on UGSs, including photos, high-resolution images, and AOI boundaries. Firstly, elements related to physical activity within UGSs are integrated into a supply adjustment index (SAI), based on which UGSs are classified into three categories. Then, a supply–demand improved two-step floating catchment area (SD2SFCA) method is employed to more accurately measure the accessibility of these three types of UGSs. Finally, using multiple linear regression analysis and Mann–Whitney U tests, socioeconomic inequalities in UGS accessibility are explored. The results indicate that (1) significant differentiation exists in the types of UGS services available in various urban areas, with a severe lack of small-scale, low-supply UGSs; (2) accessibility of all types of UGSs is significantly positively associated with housing prices, with higher-priced areas demonstrating notably higher accessibility compared to lower-priced ones; (3) children may be at a disadvantage in accessing UGSs with medium-supply levels. Future planning efforts need to enhance attention to vulnerable groups. This study underscores the importance of considering different types of UGSs in inequality assessments and proposes a method that could serve as a valuable tool for accurately assessing UGS inequality.

Suggested Citation

  • Yunjing Hou & Yiming Liu & Yuxin Wu & Lei Wang, 2024. "Assessing Inequality in Urban Green Spaces with Consideration for Physical Activity Promotion: Utilizing Spatial Analysis Techniques Supported by Multisource Data," Land, MDPI, vol. 13(5), pages 1-17, May.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:626-:d:1389412
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    References listed on IDEAS

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    1. Rehana Shrestha & Johannes Flacke & Javier Martinez & Martin Van Maarseveen, 2016. "Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social Vulnerability," IJERPH, MDPI, vol. 13(7), pages 1-23, July.
    2. Sugiyama, T. & Francis, J. & Middleton, N.J. & Owen, N. & Giles-CortI, B., 2010. "Associations between recreational walking and attractiveness, size, and proximity of neighborhood open spaces," American Journal of Public Health, American Public Health Association, vol. 100(9), pages 1752-1757.
    3. Kaczynski, A.T. & Potwarka, L.R. & Saelens P, B.E., 2008. "Association of park size, distance, and features with physical activity in neighborhood parks," American Journal of Public Health, American Public Health Association, vol. 98(8), pages 1451-1456.
    4. David L. Huff, 1963. "A Probabilistic Analysis of Shopping Center Trade Areas," Land Economics, University of Wisconsin Press, vol. 39(1), pages 81-90.
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