Factors contributing to the amount of vehicular damage resulting from collisions between four-wheel drive vehicles and passenger cars.
This study examines the vehicular damage resulting from motor vehicle crashes involving four-wheel drive vehicles and passenger cars in the state of Oklahoma. In particular, the focus of the analysis is on differences in vehicular damage to passenger cars and four-wheel drive vehicles. Results indicate that passenger cars sustain significantly greater vehicular damage than four-wheel drive vehicles. In addition, several other factors significantly influence the level of damage resulting from collisions between four-wheel drive vehicles and passenger cars. Driver behavior or unsafe acts, represented by the rate of travel prior to the collision, failure to yield, failure to obey a stoplight or a stop sign, the consumption of alcohol and the use of drugs, also contributed to the amount of vehicular damage. In addition, results also indicate that the level of damage was influenced significantly by environmental factors, represented by a reduced intensity of light, wet or slippery roadways and the type of collision. The findings reinforce the importance of a number of policy initiatives that may reduce the vehicular damage resulting from collisions involving four-wheel drive vehicles and passenger cars. For example, the study indicates a need to initiate legislation that lowers the speed limit during dark and twilight hours, commits additional resources to road maintenance to reduce unsafe road conditions, and stimulates improvements in automotive design that provide better lateral protection to vehicles.
Broyles
R W
RW
Department of Health Administration and Policy, University of Oklahoma Health Sciences Center, Oklahoma City 73190, USA.
Clarke
S R
SR
Narine
L
L
Baker
D R
DR
D000063:Accidents, Traffic / Q000191:economics / Q000706:statistics & numerical data*; D000367:Age Factors; D001336:Automobiles / Q000191:economics / Q000706:statistics & numerical data*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D015999:Multivariate Analysis; D009825:Oklahoma; D012044:Regression Analysis