Citation

Dabbour E. J. Transp. Saf. Secur. 2019; 11(1): 21-35.

Copyright

(Copyright © 2019, Southeastern Transportation Center, and Beijing Jiaotong University, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/19439962.2017.1337055

PMID

unavailable

Abstract

This article investigates the temporal stability of the factors that increase the risk of rollover in single-vehicle collisions by utilizing logistic regression modeling to analyze annual records of all single-vehicle collisions that occurred in North Carolina from January 1, 2004 to December 31, 2013. A separate model was developed for each analysis year, and all the models were compared together to identify the most temporally stable factors. The factors that were found to consistently increase the risk of rollover are vehicle age, exceeding the speed limit, rural highways, curved highways, drivers younger than the age of 21 years, drivers influenced by alcohol, illicit drugs, fatigue, or other medical conditions, and when the light-duty vehicle involved in the collision is not a passenger car. Conversely, three factors were found to have no temporally stable effect on the risk of rollover in single-vehicle collisions. Those three factors are undivided highways, driver gender, and adverse environmental conditions. To further demonstrate the scientific contributions of this research, an overall model is also developed for the entire overall analysis period so that a comparison may be made between the limited insights provided by the overall model and the in-depth insights provided by studying the temporal stability through analyzing the annual models developed.

Language: en

Keywords

logistic regression; rollover collisions; single-vehicle collisions; temporal stability