A Study on bicyclist lower extremity injury risk in car-bicycle collisions

Abstract

This study aimed at investigating the injury risk of bicyclist lower extremity by using the real accident data. For this purpose, 471 cases with bicyclist lower extremity injuries from the German In-depth Accident Study (GIDAS) database were selected to conduct descriptive statistical study and independent samples T-test analysis to determine the effects of vehicle impact speed, cyclist speed, cyclist age, height and weight on the bicyclist serious lower extremity injury risk. Furthermore, bicyclist serious lower extremity injury risk model was established via using logistic regression analysis. The results revealed that the predicted collision speed, cyclist's age and weight were statistically significant factors affecting the bicyclist serious lower extremity injuries. Moreover, the collision speed was the most statistically significant factor, followed by age and weight. The higher impact speed, the higher bicyclist age and weight corresponded to a greater likelihood of suffering an AIS 2+ lower extremity injury. Bicyclist serious lower extremity injury risk reached 50% probability when the impact speed was 55km/h.