Abstract
Pedestrian movement highly influences the traffic operation in the entire road network, meanwhile pedestrian safety issues have been more considered nowadays. Pedestrians' behaviors include and walking, both of which interact with motorized vehicles. As one of the main traffic crash types, it is necessary to analyze the factors that affect the severity of pedestrian injury of a Pedestrian-Vehicle Crash (PVC) and differentiate them from and pedestrian behaviors. Pedestrian, driver, vehicle, environment, and crash characteristics in specific PVC events are discussed. Ordered Probit models are developed in both scenarios to reflect the influencing factors of pedestrian injury severity in PVCs in terms of crossing and walking behaviors. Data from the 2008 FDOT crash database are used to build such predictive models. Given the models themselves with the similarities and differences in two scenarios, suggestions and countermeasures based on findings are provided to reduce pedestrian injury severity along with crash occurrence in order to improve pedestrian safety levels.
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