Investigation on the driver-victim pairs in pedestrian and bicyclist crashes by latent class clustering and random forest algorithm.

Pedestrians and bicyclists from marginalized and underserved populations experienced disproportionate fatalities and injury rates due to traffic crashes in the US. This disparity among road users of different races and the increasing trend of traffic risk for underserved racial groups called for an urgent agenda for transportation policy making and research to ensure equity in roadway safety. Pedestrian and bicyclist crashes involved drivers and pedestrians/bicyclists; the latter were usually victims.

Multifaceted Scoping Review of Black/African American Transportation and Land Use Expert Recommendations on Activity-Friendly Routes to Everyday Destinations.

Promoting physical activity (PA) at the community level is a complex, multisector approach requiring researchers and practitioners to impact the individual, interpersonal, environment, and policy levels. One such strategy aiming to impact systems, policies, and environments is the Centers for Disease Control and Prevention's Activity Friendly Routes to Everyday Destinations (Routes to Destinations). This strategy specifically aims to connect pedestrian, bicycle, and public transportation systems with built environment and land use destinations.

Exploration of the effect of violent crime on recreational and transportation walking by path and structural equation models.

To examine how violent crime affects people's recreational and transportation walking duration in daytime and after dark on a typical day, this study undertakes associative and causal analyses with geo-referenced crime data, street-audit data, and data collected through an intercept survey in a three-municipality region of New Jersey that is predominantly inhabited by low-income and minority populations. Survey data was collected from 1173 respondents at 87 intersections selected by stratified random sampling. Similar to many past studies using associative methods, correlation analysis and ordered logit models showed mostly counterintuitive results.