Citation

Yuan Q, Xu X, Zhao J, Zeng Q. PLoS One 2020; 15(1): e0227869.

Affiliation

School of Transportation, South China University of Science and Technology, Guangzhou, China.

Copyright

(Copyright © 2020, Public Library of Science)

DOI

10.1371/journal.pone.0227869

PMID

31929601

Abstract

Urban expressway is the main artery of traffic network, and an in-depth analysis of the crashes is crucial for improving the traffic safety level of expressways. This study intended to address the injury severity of expressways in Beijing by proposing Bayesian ordered logistic regression model. Crash data were collected from urban express rings and expressways in 2015 and 2016. The results showed that crash location, time and crash season are significant variables influencing injury severity. The findings revealed that the proposed model can address the ordinal feature of injury severity, while accommodating the data with small sample sizes that may not adequately represent population characteristics. The conclusions can provide the management departments with valuable suggestions for the injury prevention and safety improvement on the urban expressways.

Language: en