Analysis on injury severity of pedestrian in motor vehicle-pedestrian accidents

doi:10.16265/j.cnki.issn 1003-3033.2020.11.021

Abstract

Abstract: In order to explore factors affecting pedestrian's injury severity in motor vehicle-pedestrian crashes, 6 101 cases of such crash accidents in a city were investigated. 19 variables were selected from four aspects, including human, vehicles, roads and environmental conditions, and a pedestrian injury severity analysis model was established by using partial proportion odds model. Then, influence of significant variables on injury severity was analyzed quantitatively through elasticity analysis. The results show that 12 variables have a significant impact on pedestrian's injury severity in these crashes, including drivers' gender and age, pedestrian's gender and age, vehicle types, pavement structure, road types, time of accident, whether there is a traffic signal control, visibility, lighting conditions and terrain. Among them, variables like drivers' gender and age meet the proportional odds assumption, while those like pavement structure do not.

Key words: motor vehicle-pedestrian crashes, injury severity, partial proportion odds model, elasticity analysis, dependent variable, independent variable

CLC Number:

X928.9

DONG Aoran, WANG Changshuai, QIN Dan, ZHU Tong, XU Ting. Analysis on injury severity of pedestrian in motor vehicle-pedestrian accidents[J]. China Safety Science Journal, 2020, 30(11): 141-147.

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