Pedestrian Injury Severity in Automobile Crashes

This paper analyzes pedestrian injury severity from automobile crashes at signalized intersections in a medium-size city. It estimates an ordered logit model of injury severity and finds that vehicle type, gender, land-use, speed limit, traffic volume, the presence of sidewalks and visual-obstruction significantly explain pedestrian injury severity in vehicle-pedestrian crashes at signalized intersections. Females also are found to be disproportionately involved in these crashes, while sidewalks increase the probability of a pedestrian sustaining a serious injury, passenger cars, sport utility vehicles and pickups are associated with less severe pedestrian injuries.