A knowledge gap exists in our understanding of the association between individual health, healthcare, transportation, and the environment at a granular level. This study aimed to curate a longitudinal dataset that contains the history of individual demographics, health conditions, healthcare utilization, and community dwellings. Geo-coding residence information to communities in New York City, we matched over 1.5 million individuals with community-level information on travel behavior, active transportation, and built environment. Three on-going studies are conducted as part of the study. Focusing on a group of heart failure patients, first two studies analyzed detailed patterns of health and healthcare utilization by varying travel behaviors, active transportation, and built environment in a cross-sectional and a longitudinal study, respectively. The third, on-going, study examines the role of social determinants of health in predicting hospital readmission. Details about the database curated as part of the study is described in the Appendix.