Citation

Dong A, Wang C, Qin D, Zhu T, Xu T. China Saf. Sci. J. 2020; 30(11): 141-147.

Copyright

(Copyright © 2020, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2020.11.021

PMID

unavailable

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. © 2020 China Safety Science Journal

Language: zh