Citation

Weng J, Meng Q. Accid. Anal. Prev. 2011; 43(5): 1811-1817.

Affiliation

Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore.

Copyright

(Copyright © 2011, Elsevier Publishing)

DOI

10.1016/j.aap.2011.04.016

PMID

21658509

Abstract

Using driver casualty data from the Fatality Analysis Report System, this study examines driver casualty risk and investigates the risk contributing factors in the construction, maintenance and utility work zones. The multiple t-tests results show that the driver casualty risk is statistically different depending on the work zone type. Moreover, construction work zones have the largest driver casualty risk, followed by maintenance and utility work zones. Three separate logistic regression models are developed to predict driver casualty risk for the three work zone types because of their unique features. Finally, the effects of risk factors on driver casualty risk for each work zone type are examined and compared. For all three work zone types, five significant risk factors including road alignment, truck involvement, most harmful event, vehicle age and notification time are associated with increased driver casualty risk while traffic control devices and restraint use are associated with reduced driver casualty risk. However, one finding is that three risk factors (light condition, gender and day of week) exhibit opposing effects on the driver casualty risk in different types of work zones. This may largely be due to different work zone features and driver behavior in different types of work zones.

Language: en