Citation

Zhou B, Sun Q, Zhang S. China Saf. Sci. J. 2022; 32(11): 160-167.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.11.2245

PMID

unavailable

Abstract

In order to improve truck traffic safety, a total of 29 213 accident data from 2014 to 2019 in the British STATS database were taken as the research object, the accident severity was taken as the dependent variable, and the crash characteristics related to people, vehicle, roadway and environment were considered as independent variables. The random parameter ordered logit model was constructed. Meanwhile, the log-likelihood ratio tests were used to test the time stability of the crash data within years period. The results show that there is serious time instability in the accident data, which should be divided into four groups:2014-2016, 2017, 2018 and 2019. this study finds 8 variables exhibit significant impacts on accident severity in all four crash models, including car drivers over 60 years old, truck turning, truck lane changing and so on. Other variables are only statistically significant in year-specific crash models. In addition, 9 variables exhibit heterogeneous effects on accident severity in a specific year accident models, including car drivers over 60 years old, truck lane changing, etc. © 2022 China Safety Science Journal. All rights reserved.

Language: zh