title: Analysis of injury severity of drivers involved in single- and two-vehicle crashes on highways in Ontario.
abstract: This study analyzes driver's injury severity in single- and two-vehicle crashes and compares the effects of explanatory variables among various types of crashes. The study identified factors affecting injury severity and their effects on severity levels using 5-year crash records for provincial highways in Ontario, Canada. Considering heteroscedasticity in the effects of explanatory variables on injury severity, the heteroscedastic ordered logit (HOL) models were developed for single- and two-vehicle crashes separately. The results of the models show that there exists heteroscedasticity for young drivers (≤30), safety equipment and ejection in the single-vehicle crash model, and female drivers, safety equipment and head-on collision in the two-vehicle crash models. The results also show that young car drivers have opposite effects between single-car and car-car crashes, and sideswipe crashes have opposite effects between car-car and truck-truck crashes. The study demonstrates that separate HOL models for single-vehicle and different types of two-vehicle crashes can identify differential effects of factors on driver's injury severity.
authors: Department of Civil and Environmental Engineering, University of Windsor, ON, N9B 3P4, Canada. Electronic address: cclee@uwindsor.ca.
authors: Chris
authors: C
authors: Lee
authors: Department of Civil and Environmental Engineering, University of Windsor, ON, N9B 3P4, Canada.
authors: Xuancheng
authors: X
authors: Li
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000328:Adult; D001336:Automobiles / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D018986:Motor Vehicles / Q000706:statistics & numerical data; D009864:Ontario; D015599:Trauma Severity Indices
keywords: Car; Crash; Heteroscedasticity; Injury severity; Ordered logit model; Truck