NYC School of Data 2026

This session brings together policy experts, technologists, community advocates, and community leaders to make the case for Low Traffic Neighborhoods (LTNs) in New York City — street design interventions that reduce motor vehicle dominance and create safer, quieter environments where streets function as social spaces rather than just transport corridors. A briefing on LTNs will set the stage, followed by an exploration of how NYC Open Data can identify which neighborhoods are most suitable for LTN treatment — examining key indicators including collision rates, access to alternative transportation, and community vulnerability. The panel will then discuss what it would take to bring LTNs to NYC at scale, and how data, advocacy, and community voice can work together to make NYC's streets more livable and safe for all residents.