Citation

Agbelie BRDK. J. Transp. Saf. Secur. 2016; 8(3): 280-291.

Copyright

(Copyright © 2016, Southeastern Transportation Center, and Beijing Jiaotong University, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/19439962.2015.1030808

PMID

unavailable

Abstract

This study investigates the effect of gender on two-passenger vehicle crash-injury severity. Using detailed police-reported data from Washington State for the year 2011 along 150 highway segments, a mixed logit method was applied to unravel the effect of gender on two-passenger vehicle driver crash-injury severity (no injury, injury and fatal) at highway segments, while accounting for other factors including weather, traffic characteristics, and highway geometric. More than 57% of the variables produced statistically significant normally distributed random parameters. The results indicate that the effects were consistent in directions across gender but had significant differences in magnitudes. For example, snow fall weather condition, defined for no-injury function, was found to be statistically significant, and the estimated parameters indicate that for 61.4% (of the male drivers) and 74.52% (of female drivers), the presence of a snowfall weather condition decreases the likelihood of no-injury crash. Thus, restricting these parameters to be fixed across observations will result in inconsistent and erroneous conclusions. To assess the effects of the factors on two-passenger vehicle highway segment crash-injury severity, the direct and cross elasticity (pseudo-elasticity) values were computed for each explanatory variable, and the effects significantly varied from 0.08% to 34.03%.

Language: en