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Article

USING LOGISTIC REGRESSION TO IDENTIFY RISK FACTORS CAUSING ROLLOVER COLLISIONS

DOI: 10.7708/ijtte.2012.2(4).07


2 / 4 / 372-379 Pages

Author(s)

Essam Dabbour - Abu Dhabi University, Abu Dhabi, P.O. Box 59911, United Arab Emirates -


Abstract

Rollover collisions are among the most serious collisions that usually result in severe injuries or fatalities. In 2009, there were 8,732 fatal rollover collisions in the United States of America that resulted in the death of 9,833 persons. Those numbers represent approximately 28% and 29% of the total numbers of fatal collisions and fatalities, respectively. The main objective of this paper is to examine the impact of different risk factors that may contribute to this type of serious collisions to help develop countermeasures that limit them. To avoid the bias that may be caused by interactions among different drivers, this analysis focuses on rollover related to single-vehicle collisions so that the behavior of the driver of the collided vehicle can be analyzed more effectively. Logistic regression technique is utilized to analyze single-vehicle rollover collisions that occurred on state and interstate highways in the states of Ohio and Washington in 2009. The results obtained from this analysis have the potential to help decision makers identify different strategies to limit the severity of this type of collisions.


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