Bicyclist Injury Severity in Bicycle-Motor Vehicle Crashes at Unsignalized Intersections in Kentucky

摘要

This research investigated the contributing factors of injury severity of bicyclists in bicycle-motor vehiclecrashes at unsignalized intersections. The crash data were extracted from Kentucky Collision Databasemaintained by Kentucky State Police between 2000 and 2009 and an ordered probit model was introduced toexplore significant factors of bicycle safety. Injury Severity was classified into four categories: none and slightinjured, non-incapacitating, incapacitating and fatal. Fifteen factors were incorporated in the model, describingbicyclist characteristics, driver characteristics, roadway characteristics and crash characteristics. The modelestimates and marginal effects revealed that several factors were strongly associated with injury severity ofbicyclists, including traffic control, number of lanes, driver age, bicyclist age, weather condition, lightcondition, roadway condition, and speed limit. Stop control, one-way traffic, young bicyclists, and low speedlimits were found to make bicyclists safer, while no traffic control, two-lane approaches, old drivers, fogy andrainy weather, dark with no lights, and icy roads were more likely to increase injury severity of bicyclists.Explanations of the results and some possible countermeasures were also discussed.