title: Differences in male and female injury severities in sport-utility vehicle, minivan, pickup and passenger car accidents.
abstract: 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.
authors.affiliation: Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195-2700, USA.
authors.forename: Gudmundur F
authors.initials: GF
authors.lastname: Ulfarsson
authors.forename: Fred L
authors.initials: FL
authors.lastname: Mannering
mesh_terms: D000063:Accidents, Traffic / Q000145:classification* / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000368:Aged; D001334:Automobile Driving / Q000706:statistics & numerical data*; D004777:Environment; D005260:Female; D006801:Humans; D016013:Likelihood Functions; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D018986:Motor Vehicles / Q000145:classification*; D015999:Multivariate Analysis; D018570:Risk Assessment; D012307:Risk Factors; D012622:Seat Belts / Q000706:statistics & numerical data; D017678:Sex Distribution; D012737:Sex Factors; D015599:Trauma Severity Indices; D014861:Washington / Q000453:epidemiology; D014947:Wounds and Injuries / Q000453:epidemiology*