20180621 poster

Poster  Photos

Abstract

The neighborhood environment is a central setting for the elderly people after their retirement. This study focuses on the elderly’s daily activity within the walking distance in order to get better understanding of how built environment contributes to active aging. The smart phones with self-developed APP were applied to track the mobility of 78 older residents' from a public housing neighborhood in Shanghai. GPS data has been collected every 3 seconds during 100 days, which were used to generalize behavioral patterns and characteristics. Overlay with Geographic Information System and the POI dataset, we identified the mobility space range, activity space features and the major POIs. Prof. Yifan YU will share the preliminary results of the research, and introduce how her team applied the findings into the Age-friendly neighborhood planning.