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Analyzing Urban Parks for Older Adults’ Accessibility in Summer Using Gradient Boosting Decision Trees: A Case Study from Tianjin, China

Author

Listed:
  • Haobo Zhao

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Gang Feng

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Wei Zhao

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Yaxin Wang

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Fei Chen

    (School of Architecture, Tianjin University, Tianjin 300072, China
    Key Laboratory of Ecology and Energy Saving Study of Dense Habitat, Ministry of Education, Shanghai 200092, China)

Abstract

With the acceleration of global aging, outdoor environments, especially urban green space’s planning and design, play a crucial role in not only promoting physical health but also significantly increasing the opportunities for social interactions for older adults. In recent years, the study of age-friendly outdoor environments has attracted increasing attention, with digital methods emerging as essential tools due to their precision and versatility. In this research, three parks in the Nankai District, Tianjin, are taken as the subject of a case study to explore the spatial factors that may exert influence on the behavior distribution of older adults in summery urban parks’ planning and design. With the behavior data of the older adults in the park collected using an Insta360 camera every hour (from 8 a.m. to 15 p.m.), the three parks are divided into a total of 49 areas for further analysis. Additionally, the visual indexes of the spatial syntax are analyzed with Depthmap 10, the sunlight conditions are analyzed with the Tangent model, and some other spatial factors, such as the green space ratio and the hard ground ratio, are calculated according to the semantic segmentation of the 360-degree panoramic view photo from the center of every area. SPSS and Gradient Boosting Decision Trees (GBDTs) are used to reveal not only the correlations between the sunlight conditions and the behavior distribution of behavior of the older adults, but also the importance ranking of spatial factors. Furthermore, some improvement strategies are proposed for spatial facility configuration, park furniture arrangement, rational hardscape planning, as well as greening and landscape design. By exploring how to improve the spatial planning and design of summery urban green space for older adults, this research provides guidance on the creation of urban green spaces in extremely hot weather that are not only visually appealing but also socially equitable and environmentally sustainable.

Suggested Citation

  • Haobo Zhao & Gang Feng & Wei Zhao & Yaxin Wang & Fei Chen, 2025. "Analyzing Urban Parks for Older Adults’ Accessibility in Summer Using Gradient Boosting Decision Trees: A Case Study from Tianjin, China," Land, MDPI, vol. 14(1), pages 1-27, January.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:1:p:185-:d:1569189
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    References listed on IDEAS

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    1. Anna Malmquist & Mattias Hjerpe & Erik Glaas & Hulda Karlsson-Larsson & Tina Lassi, 2022. "Elderly People’s Perceptions of Heat Stress and Adaptation to Heat: An Interview Study," IJERPH, MDPI, vol. 19(7), pages 1-13, March.
    2. Wang, Ruoyu & Cao, Mengqiu & Yao, Yao & Wu, Wenjie, 2022. "The inequalities of different dimensions of visible street urban green space provision: a machine learning approach," LSE Research Online Documents on Economics 117694, London School of Economics and Political Science, LSE Library.
    3. Ewelina M. Swierad & Terry T. K. Huang, 2018. "An Exploration of Psychosocial Pathways of Parks’ Effects on Health: A Qualitative Study," IJERPH, MDPI, vol. 15(8), pages 1-16, August.
    Full references (including those not matched with items on IDEAS)

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