Examining driver injury severity outcomes in rural non-interstate roadway crashes using a hierarchical ordered logit model

•We examined driver injury severities in rural non-interstate roadway crashes.•An ordered logit model is used to identify significant factors on injury severity.•Full Bayesian inference method is utilized for parameter posterior estimation.•This study provides insights on casualty prevention on rura...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Accident analysis and prevention 2016-11, Vol.96, p.79-87
Hauptverfasser:	Chen, Cong, Zhang, Guohui, Huang, Helai, Wang, Jiangfeng, Tarefder, Rafiqul A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accidents, Traffic - statistics & numerical data Automobile Driving - statistics & numerical data Bayes Theorem Bayesian analysis Crashes Driver injury severity Drivers Environment Female Full Bayesian inference Hierarchical ordered logit model Humans Injuries Logistic Models Logit models Male Mathematical models New Mexico - epidemiology Occupant injuries Rural non-interstate roadway Rural Population - statistics & numerical data Safety - statistics & numerical data Seat Belts - utilization Traffic safety Trauma Severity Indices Vehicles Wounds and Injuries - classification Wounds and Injuries - epidemiology
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!