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This paper examines the effects of mixed and dense building use patterns on life satisfaction of local residents. The analysis is empirically conducted by using a combination of a cross-sectional individual survey data and point-of-interest big data in Beijing. The results show that mixed building uses are positively associated with subjective wellbeing, but residents tend to be less satisfied with dense building use patterns. Additional results quantify evidence that the building use-wellbeing association needs to be contingent upon human lived experiences for consumption and social interaction in the uncertain geographical context. Findings of this study suggest that the hybrid application of location-based big data and traditional survey in urban contexts provides an alternative channel for recovering the built environment-wellbeing associations at fine geographical scales.

Urbanisation from the developing world has been phenomenal and renewed the interest of studying the connection between urban greenness and subjective wellbeing. This paper responds to this greenness-wellbeing connection by shifting its focus towards systematically exploring the influences of urban greenness, perceived pollution hazards, and their interaction terms on subjective wellbeing. Using a combination of green view data and individual survey data in Beijing, we find that perceived pollution hazards about the disposal of waste, polluted water, and air pollution have significant interaction effects with eye-sensored greenness exposures on subjective wellbeing. Findings of this study suggest that policies geared towards mitigating particular domains of pollution hazards and improving green landscape should work together for shaping people's quality of life.