Investigation of injury severity in urban expressway crashes: A case study from Beijing


Autoři: Quan Yuan aff001;  Xuecai Xu aff002;  Junwei Zhao aff003;  Qiang Zeng aff004
Působiště autorů: State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China aff001;  School of Civil Engineering and Mechanics, Huazhong University of Science and Technology Wuhan, China aff002;  School of Automobile, Chang’an University, Xi’an, China aff003;  School of Transportation, South China University of Science and Technology, Guangzhou, China aff004
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
doi: 10.1371/journal.pone.0227869

Souhrn

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.

Klíčová slova:

Autumn – Data management – Roads – Seasons – Traffic safety – Transportation infrastructure – Urban areas – Winter


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Článek vyšel v časopise

PLOS One


2020 Číslo 1