Director: Eric R. Dahlen, Ph.D.
Article on Driving Anger and Boredom Proneness Makes AAP's Top 20 Most Cited List
09/20/10 Traffic Psychology
I was just informed by Elsevier that a 2005 article we published in Accident Analysis and Prevention was one of the top 20 most cited articles from this journal published between 2005 and 2010. The citation of the article is:
Dahlen, E. R., Martin, R. C., Ragan, K., & Kuhlman, M. M. (2005). Driving anger, sensation seeking, impulsiveness, and boredom proneness in the prediction of unsafe driving. Accident Analysis & Prevention, 37(2), 341-348. https://doi.org/10.1016/j.aap.2004.10.006
The study examined the role of impulsivity, sensation seeking, boredom proneness, and driving anger as predictors of aggressive and risky driving in a college student sample. In addition to providing further support for the utility of the Driving Anger Scale (DAS; Deffenbacher et al., 1994) in the assessment of unsafe driving behavior, we found that sensation seeking, boredom proneness, and impulsivity resulted in incremental improvements to the predictive model over and above driving anger. Overall, this helps to strengthen the case for using multiple predictors to understand risky and aggressive driving.
It is great to know that others have found this paper useful in their research.
Dahlen, E. R., Martin, R. C., Ragan, K., & Kuhlman, M. M. (2005). Driving anger, sensation seeking, impulsiveness, and boredom proneness in the prediction of unsafe driving. Accident Analysis & Prevention, 37(2), 341-348. https://doi.org/10.1016/j.aap.2004.10.006
The study examined the role of impulsivity, sensation seeking, boredom proneness, and driving anger as predictors of aggressive and risky driving in a college student sample. In addition to providing further support for the utility of the Driving Anger Scale (DAS; Deffenbacher et al., 1994) in the assessment of unsafe driving behavior, we found that sensation seeking, boredom proneness, and impulsivity resulted in incremental improvements to the predictive model over and above driving anger. Overall, this helps to strengthen the case for using multiple predictors to understand risky and aggressive driving.
It is great to know that others have found this paper useful in their research.