Journal
ACCIDENT ANALYSIS AND PREVENTION
Volume 36, Issue 2, Pages 135-147Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0001-4575(02)00135-5
Keywords
gender differences; injury severity; sport-utility vehicles; multinomial logit; transferability; elasticity
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This research explores differences in injury severity between male and female drivers in single and two-vehicle accidents involving passenger cars, pickups, sport-utility vehicles (SUVs), and minivans. Separate multivariate multinomial logit models of injury severity are estimated for male and female drivers. The models predict the probability of four injury severity outcomes: no injury (property damage only), possible injury, evident injury, and fatal/disabling injury. The models are conditioned on driver gender and the number and type of vehicles involved in the accident. The conditional structure avoids bias caused by men and women's different reporting rates, choices of vehicle type, and their different rates of participation as drivers, which would affect a joint model of all crashes. We found variables that have opposite effects for the genders, such as striking a barrier or a guardrail, and crashing while starting a vehicle. The results suggest there are important behavioral and physiological differences between male and female drivers that must be explored further and addressed in vehicle and roadway design. (C) 2003 Elsevier Science Ltd. All rights reserved.
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