2022
DOI: 10.1016/j.jclepro.2022.134920
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Does urban green space justly improve public health and well-being? A case study of Tianjin, a megacity in China

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Cited by 24 publications
(7 citation statements)
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“…Among all needs that the public may wish GSs to provide, those used for health benefits were taken to be the most important [72]. To ensure that the most intended meanings can be retained, we designed questionnaires based on three secondary indicators, namely the mental, physical, and social states of health.…”
Section: Assessment Of Health Service Functionsmentioning
confidence: 99%
“…Among all needs that the public may wish GSs to provide, those used for health benefits were taken to be the most important [72]. To ensure that the most intended meanings can be retained, we designed questionnaires based on three secondary indicators, namely the mental, physical, and social states of health.…”
Section: Assessment Of Health Service Functionsmentioning
confidence: 99%
“…According to a summary analysis of current studies, urban green spaces, including urban forests, could affect the mental health of residents by affecting people's emotions, stress, social interactions, and neighborhood satisfaction [40]. In addition, urban green spaces can also improve residents' happiness in living and working [41,42]. On the other hand, urban forest environments can also produce cognitive benefits.…”
Section: Urban Forest Environment and Psychological Restorationmentioning
confidence: 99%
“…The processed data were put into AMOS 24.0 for modeling. According to the criteria for judging each goodness-of-fit indicator [51][52][53], the final results after model correction are X 2 /d f = 2.563, which is between 1 and 3; TLI = 0.889, which is greater than the critical value of 0.8; CFI = 0.968, IFI = 0.970, which are both greater than 0.9; and RMSEA = 0.057, which is less than 0.08. This indicates that the model constructed in this study is well-adapted for path analysis.…”
Section: Model Fitmentioning
confidence: 99%