Analysis of Factors Affecting Crash Severity of Pedestrian and Bicycle Crashes Involving Vehicles at Intersections

摘要

Vulnerable road users (VRUs) such as pedestrians and bicyclists, also known as non-motorists, are vulnerable due to lack of protection in traffic and usually sustain the higher injury levels. The objective of this study was to determine factors that contribute significantly to the crash severity of intersection-related crashes involving motor vehicles and VRUs. A three-year crash data, 2013-2015, from the Ohio Department of Public Safety was utilized for this study. The logistic stepwise selection procedure was applied to estimate statistically significant predictor variables that contribute in increasing VRU-related crash severity levels. The model identified five statistically significant predictor variables out of fourteen independent variables tested in this study. The predictors that increase crash severity of VRU-related crashes are: if a VRU is a pedestrian, if the intersection is on a curve and/or grade location, if a VRU is a female, if the crash occurs at nighttime, and if the unit in error is the VRU.