Disentangling the non-linear impacts of natural attributes of urban built environment on life satisfaction

It is widely acknowledged that urban nature could contribute positively to people's subjective life satisfaction . However, extant literature offers limited empirical evidence about the non-linear effects of various natural attributes of urban built environment on life satisfaction. This paper applies a machine learning approach, the gradient boosting decision trees model, to fill in this knowledge gap. Using Beijing as a case study , three key natural attributes of urban built environment are considered, including exposure to greenness within immediate living neighborhood, access to the nearest non-gated community parks, and access to the nearest gated municipal parks. A dataset that combines a life satisfaction survey, GIS-based park accessibility, and neighborhood greenness extracted from georeferenced street view images is constructed and brought into modelling analysis. The findings reveal non-linear effects of all three natural attributes on residents' self-reported life satisfaction. And the association between life satisfaction and access to parks (either gated municipal parks or non-gated community parks) depends upon the level of greenness exposure within respondents' immediate living neighborhood, with significant impacts detected for those who have a relatively low supply of neighborhood greenness. This study contributes to a more nuanced understanding of the intricate association between various natural attributes of urban built environment and life satisfaction. And the empirical findings have practical implications for optimizing urban greening strategy as a cost-effective and feasible intervention to improve population life satisfaction. • The impacts of three natural attributes of urban built environment on life satisfaction are examined. • Non-linear impacts are detected using the gradient boosting decision trees model. • The significance of public parks on life satisfaction depends on greenness exposure within immediate living neighborhood. • The proximity to municipal parks plays the most important role in people’s life satisfaction.

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Institutions

Publication Details

Journal
Cities
Published
2024-10-16
DOI
https://doi.org/10.1016/j.cities.2024.105496
Citations
12
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
3.78

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article

Disentangling the non-linear impacts of natural attributes of urban built environment on life satisfaction

Wendy Y. Chen, Wenxuan Tan, Ruoyu Wang, Wenjie Wu
12 citations
Cities
Urban Green Space and Health
3.78
article

Disentangling the non-linear impacts of natural attributes of urban built environment on life satisfaction

Wendy Y. Chen, Wenxuan Tan, Ruoyu Wang, Wenjie Wu
article en
12 citations

Abstract

It is widely acknowledged that urban nature could contribute positively to people's subjective life satisfaction . However, extant literature offers limited empirical evidence about the non-linear effects of various natural attributes of urban built environment on life satisfaction. This paper applies a machine learning approach, the gradient boosting decision trees model, to fill in this knowledge gap. Using Beijing as a case study , three key natural attributes of urban built environment are considered, including exposure to greenness within immediate living neighborhood, access to the nearest non-gated community parks, and access to the nearest gated municipal parks. A dataset that combines a life satisfaction survey, GIS-based park accessibility, and neighborhood greenness extracted from georeferenced street view images is constructed and brought into modelling analysis. The findings reveal non-linear effects of all three natural attributes on residents' self-reported life satisfaction. And the association between life satisfaction and access to parks (either gated municipal parks or non-gated community parks) depends upon the level of greenness exposure within respondents' immediate living neighborhood, with significant impacts detected for those who have a relatively low supply of neighborhood greenness. This study contributes to a more nuanced understanding of the intricate association between various natural attributes of urban built environment and life satisfaction. And the empirical findings have practical implications for optimizing urban greening strategy as a cost-effective and feasible intervention to improve population life satisfaction. • The impacts of three natural attributes of urban built environment on life satisfaction are examined. • Non-linear impacts are detected using the gradient boosting decision trees model. • The significance of public parks on life satisfaction depends on greenness exposure within immediate living neighborhood. • The proximity to municipal parks plays the most important role in people’s life satisfaction.

CitiesVol. 155
University of Essex (GB), Jinan University (CN), Wuhan University (CN), University of Hong Kong (HK)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Urban Green Space and Health
3.78
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