Using logistic regression to identify risk factors causing rollover collisions

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dc.contributor.authorDabbour, Essam
dc.date.accessioned2018-03-14T08:01:09Z
dc.date.accessioned2023-08-19T08:11:45Z
dc.date.available2018-03-14T08:01:09Z
dc.date.available2023-08-19T08:11:45Z
dc.date.issued2012
dc.descriptionDabbour, E. (2012). Using logistic regression to identify risk factors causing rollover collisions.en_US
dc.description.abstractRollover 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. ftose numbers represent approximately 28% and 29% of the total numbers of fatal collisions and fatalities, respectively. fte main objective of this paper is to examine the impact of di–erent risk factors that may contribute to this type of serious collisions to help develop countermeasures that limit themen_US
dc.identifier.citationDabbour, E. (2012). Using logistic regression to identify risk factors causing rollover collisions. International Journal of Traffic and Transport Engineering, 2(4), 372-379.en_US
dc.identifier.doihttps://doi.org/10.7708/ijtte.2012.2(4).07
dc.identifier.urihttps://edms.wexl.in/handle/1/659
dc.language.isoen_USen_US
dc.publisherElesvieren_US
dc.subjectRisk Managementen_US
dc.subjectRegression Analysisen_US
dc.subjectRollover Collisionsen_US
dc.subjectLogisticsen_US
dc.titleUsing logistic regression to identify risk factors causing rollover collisionsen_US
dc.typeArticleen_US

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