Li Yin

TL;DR: Neighborhoods with increased proximity between homes and a greater proportion of park area are associated with greater physical activity in young children.

TL;DR: By applying machine learning algorithms on Google Street View imagery, the results showed that sky areas were identified fairly well for the calculation of proportion of sky and the three visual enclosure measures were found to be correlated with pedestrian volume and Walk Score.

TL;DR: The neighborhood environment is more strongly associated with physical activity of boys than girls and Sedentary behaviors are associated with access to television in the home environment, which planners need to design environments that support active living.

TL;DR: The reliability tests results based on pedestrian information collected from over 200 street segments in Buffalo, NY, Washington, D.C., and Boston, MA respectively suggested that the image detection method used in this study are capable of determining the presence of pedestrian with a reasonable level of accuracy.

TL;DR: Using pedestrian counts of 302 street segments in Buffalo, New York, structural equation modelling highlights the multiple relationships between street network connectivity, built environment characteristics, and pedestrian volumes and suggests both the conventional metric- based measure of physical connectivity and geometric-based measure of visual connectivity have significant positive impacts on pedestrian volumes.