Citation

Obeng K. Accid. Anal. Prev. 2011; 43(4): 1521-1531.

Affiliation

North Carolina A&T State University, Department of Marketing and Supply Chain, 1601 East Market St., Greensboro, NC 27411, United States.

Copyright

(Copyright © 2011, Elsevier Publishing)

DOI

10.1016/j.aap.2011.03.004

PMID

21545886

Abstract

This paper analyzes gender differences in crash risk severities using data for signalized intersections. It estimates gender models for injury severity risks and finds that driver condition, type of crash, type of vehicle driven and vehicle safety features have different effects on females' and males' injury severity risks. Also, it finds some variables which are significantly related to females' injury severity risks but not males' and others which affect males' injury severity risks but not females'. It concludes that better and more in-depth information about gender differences in injury severity risks is gained by estimating separate models for females and males.

Language: en