Analysis of driver injury severity levels at multiple locations using ordered probit models.
OBJECTIVE
The occurrence and outcome of traffic crashes have long been recognized as complex events involving interactions between many factors, including the roadway, driver, traffic characteristics, and the environment. This study is concerned with the outcome of the crash.


METHODS
Driver injury severity levels are analyzed using the ordered probit modeling methodology. Models were developed for roadway sections, signalized intersections, and toll plazas in Central Florida. All models showed the significance of driver's age, gender, seat belt use, point of impact, speed, and vehicle type on the injury severity level. Other variables were found significant only in specific cases.


RESULTS
A driver's violation was significant in the case of signalized intersections. Alcohol, lighting conditions, and the existence of a horizontal curve affected the likelihood of injuries in the roadway sections' model. A variable specific to toll plazas, vehicles equipped with Electronic Toll Collection (ETC), had a positive effect on the probability of higher injury severity at toll plazas. Other variables that entered into some of the models were weather condition, area type, and some interaction factors. This study illustrates the similarities and the differences in the factors that affect injury severity between different locations.
Abdel-Aty
Mohamed
M
Department of Civil & Environmental Engineering, University of Central Florida, Orlando, FL 32816, USA. mabdel@mail.ucf.edu
D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D001334:Automobile Driving / Q000706:statistics & numerical data*; D006801:Humans; D008962:Models, Theoretical; D018570:Risk Assessment; D015599:Trauma Severity Indices; D014481:United States; D014947:Wounds and Injuries / Q000145:classification*