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Yuan Yuan

Researcher at Sun Yat-sen University

Publications -  8
Citations -  537

Yuan Yuan is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Mental health & Neighbourhood (mathematics). The author has an hindex of 7, co-authored 7 publications receiving 273 citations.

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Neighbourhood greenness and mental wellbeing in Guangzhou, China: What are the pathways?

TL;DR: In this article, the authors explore biopsychosocial pathways linking exposure to neighbourhood greenness to mental wellbeing using survey data collected from 35 neighbourhoods of Guangzhou, China, using the Normalized Difference Vegetation Index (NDVI) as the surrogate for residential exposure to greenness, thereby enabling the comparison between China and other countries.
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Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures.

TL;DR: Wang et al. as discussed by the authors used a population sample of 1029 adult residents of the metropolis of Guangzhou, China, from 2016 to examine how streetscape and remote sensing-based greenery affect people's mental wellbeing; whether and, if so, to what extent the associations are mediated by physical activity, stress, air quality and noise, and social cohesion.
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Residential greenness, air pollution and psychological well-being among urban residents in Guangzhou, China.

TL;DR: It is suggested that street trees may be more related to lower air pollution levels and better mental health than grasses are and psychological well-being is quantified using the World Health Organization Well-Being Index.
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Estimating the Willingness to Pay for Green Space Services in Shanghai: Implications for Social Equity in Urban China

TL;DR: In this article, the traditional economic aspects of urban green space in relation to size, type and proximity level, and questions whether green fiscal equity appeared in China by exploring how homebuyers in different price ranges value green space services.
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Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents' mental health.

TL;DR: The results of a moderation analysis suggest that the beneficial effects of physical activity and social cohesion on mental health are strengthened by a perception of neighborhood safety, which is also confirmed by the results of multilevel regression models.