UCLA Institute of Transportation Studies

This study uses multivariate regression to determine correlates of pedestrian- and bicycle-involved crashes based on 14 demographic and built environment factors. At the census tract level, higher poverty rate and larger Hispanic/Latino population are statistically significant crash predictors of both pedestrian and bicycle crashes, even when controlling for job density, commute mode, and other variables related to pedestrian and bicycle exposure. Within º mile of Metro stations and within Ω mile of Metrolink stations, the poverty rate is a significant predictor of at least one crash type. Within 1/4 mile of Metro stations, vehicle-miles traveled is a significant crash predictor, although not within Ω mile of Metrolink stations. These findings support increased investment in active transportation, including targeted funds for low-income community-led projects and projects near bus stops.