State of Place Data

Quantifying What People Love about Places

The Data: What & How

We use AI-based, machine learning models to automatically collect data on over 140 urban design features – like street trees, sidewalks, benches, curb cuts, bike lanes, parking, public spaces, land uses, and more! We focus on these "micro-scale" built environment features because we know - based on decades of evidence - that they impact how we feel about our streets, neighborhoods, towns, and cities. In turn, these urban design characteristics influence our choices, from where we live, work, visit, or play; our behaviors, like whether we walk, bike, or drive; our perceptions of vitality, safety, or belongingness. And finally, these perceptions, feelings, choices, and behaviors influence the social, economic, health, and environmental value of our communities - and people’s quality of life.