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Equity Measurement of Public Sports Space in Central Urban Areas Based on Residential Scale Data

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  • Ying Liu

    (School of Architecture, Harbin Institute of Technology, Harbin 150006, China)

  • Huan Wang

    (School of Architecture, Harbin Institute of Technology, Harbin 150006, China)

  • Cheng Sun

    (School of Architecture, Harbin Institute of Technology, Harbin 150006, China)

  • Huifang Wu

    (School of Architecture, Harbin Institute of Technology, Harbin 150006, China)

Abstract

Urban public sports facilities have captured much public attention because of their close ties to public health. However, few studies have comprehensively assessed the equity of accessibility to various types of public sports space with a fine scale. This study proposed a spatial equity measurement method based on multi-source urban data and GIS network analysis. Residential buildings were taken as the minimum research unit to investigate the equity differences of residents’ enjoyment of urban public sports space accessible by walking and public transportation. Taking Harbin, China, as an example, this study calculated and visualized the proximity of more than 12,000 residential buildings to a variety of public sports space in the central urban area. The results showed that: (1) urban centers enjoy more public sports space resources than border areas, that is, the developed area has more advantages than the emerging area; (2) according to the classification of sports space, their spatial distribution pattern and measurement results are obviously different; (3) the areas with a low walking equity degree also had a low bus equity degree. This study integrated multi-source data into the traditional spatial computing models and provided an important reference for the equitable planning of urban public sports space.

Suggested Citation

  • Ying Liu & Huan Wang & Cheng Sun & Huifang Wu, 2022. "Equity Measurement of Public Sports Space in Central Urban Areas Based on Residential Scale Data," IJERPH, MDPI, vol. 19(5), pages 1-14, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:3104-:d:765300
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    References listed on IDEAS

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    1. Siqi Yu & Xigang Zhu & Qian He, 2020. "An Assessment of Urban Park Access Using House-Level Data in Urban China: Through the Lens of Social Equity," IJERPH, MDPI, vol. 17(7), pages 1-19, March.
    2. Jianhua Ni & Tianlu Qian & Changbai Xi & Yikang Rui & Jiechen Wang, 2016. "Spatial Distribution Characteristics of Healthcare Facilities in Nanjing: Network Point Pattern Analysis and Correlation Analysis," IJERPH, MDPI, vol. 13(8), pages 1-13, August.
    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. Diez Roux, A.V. & Evenson, K.R. & McGinn, A.P. & Brown, D.G. & Moore, L. & Brines, S. & Jacobs Jr., D.R., 2007. "Availability of recreational resources and physical activity in adults," American Journal of Public Health, American Public Health Association, vol. 97(3), pages 493-499.
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    Cited by:

    1. Yong Jiang & Yangyang Liu & Zelei Liu & Chunwei Wang & Zhipeng Shi & Hongbo Zhao & Dongqi Sun & Wei Sun & Xiangquan Wang, 2022. "Spatial Distribution Characteristics of Public Fitness Venues: An Urban Accessibility Perspective," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    2. Xuefeng Tan & Chenggen Guo & Pu Sun, 2023. "Study on Rationality of Public Fitness Service Facilities in Beijing Based on GIS," Sustainability, MDPI, vol. 15(2), pages 1-16, January.

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