This project will develop an AI system that can measure the health effects of neighborhood environments in Houston, Dallas, San Antonio, and Austin using citizen crowd-sourced data. The research team will map the computed health risk scores at the census tract-level for all selected municipalities and will also build an interactive website that allows users to understand how changes to their neighborhoods can affect their health. For example, if a user changes neighborhood sidewalk density, the website will show the expected changes in health behavior and outcomes, such as decreased physical activity level and increased diabetes risk. The research team will make the health risk map database available to the general public.
Project team: Valerie Danesh (Nursing), Chen Feng (Architecture), Junfeng Jiao (Architecture), Katie Pierce Meyer (Libraries), Weijia Xu (TACC)