Engineering Commons^™

Factors Affecting Injury Severity In Vehicle-Pedestrian Crashes: A Day-Of-Week Analysis Using Random Parameter Ordered Response Models And Artificial Neural Networks, Seyedmirsajad Mokhtarimousavi, Jason C. Anderson, Atorod Azizinamini, Mohammed Hadi

Civil and Environmental Engineering Faculty Publications and Presentations

The high number of vehicle–pedestrian crashes in the United State has gained increased attention among transportation safety analysts in recent years. Being directly exposed to the collision force makes pedestrians more prone to becoming severely injured when in crash than other road users. Considering the fact that pedestrian-involved crashes is a serious public health problem, the current study’s aim is to investigate the contributing factors associated with injury severity of pedestrian crashes by time-of-week. Separate injury severity models for weekday and weekend crashes were developed, and the overall stability of the model estimates was examined through likelihood ratio tests. For …