Session Description
This session explores how diverse communities—from mid-sized cities to Tribal nations—advance safety through data-driven planning, community engagement, and policy development.
Amarillo’s Safe Streets and Roads for All (SS4A) Plan demonstrates how medium-sized cities can create actionable, community-centered safety strategies prioritizing active transportation and securing early wins through demonstration grants. The second presentation shares findings from an FHWA study focused on pedestrian safety in rural Tribal communities, offering practical tools and planning strategies for identifying high-risk areas and prioritizing interventions. The session also highlights the New Jersey Safety and Health Outcomes (NJ-SHO) Data Warehouse, a cutting-edge resource that links statewide crash, health, and demographic data to inform targeted safety strategies.
These presentations showcase scalable, replicable models that integrate robust data analysis, inclusive outreach, and evidence-based countermeasures to reduce crashes and protect vulnerable road users. Attendees will gain insights into applying community-focused safety frameworks, leveraging cross-sector data, and tailoring safety solutions to the needs of their communities.
Session C6: Data-Driven Approaches to Safer Streets
