Urban Mobility Index
An ML experiment predicting walkability from bus-stop and intersection densities across 774 neighborhoods in nine cities - and an honest account of where it works (the cities it trained on) and where it doesn't (the ones it hasn't seen).
Pedestrian Activity & San Francisco's Hills
Do San Francisco's steep blocks (≥20% grade) keep people from walking through them? We expected the hills to act as walls. The data pushed back: nearly a third of recorded trips crossed 'significant' slopes, and half of running trips did.
Quality of Life of NYC Children
Most quality-of-life indices don't really account for kids. We built one that does - a 0–10 score for children across all 55 NYC PUMAs that combines infrastructure access, economic pressure, and environmental quality, framed by who actually lives in each district.
Got a Ride? Ridesharing Equity in Chicago
I expected Uber and Lyft pickups to cluster in white, wealthy Chicago neighborhoods. 42 million trips later, the data said no - the pickups go where the trips are, which mostly means downtown.