Abstract
Few studies have investigated relative contributions of the built and natural environments to and their nonlinear associations with leisure physical activity (PA) in different spatial contexts. Applying gradient boosting decision tree models to data comprising 1049 adults collected in Shanghai, we investigated the associations between built and natural environments and leisure PA in residential and workplace neighborhoods. Results show that the built environment is more important than the natural environment to leisure PA in both residences and workplaces. Environmental attributes have nonlinear and threshold effects. Within certain ranges, land use mix and population density have opposite associations with leisure PA in residences and workplaces, whereas the distance to the city center and the area of water are associated with leisure PA in residences and workplaces with the same direction. These findings help urban planners design context-specific environmental interventions for supporting leisure PA.
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