Factors affecting stability and change in risky driving from late adolescence to the late twenties. (March 2016)

• Record Type: Journal Article
• Authors: Vassallo, Suzanne; Lahausse, Julie; Edwards, Ben
• Is Part Of: Accident analysis and prevention. Volume 88(2016)
• Page Start: 77
• Page End: 87
• Publication Date: 2016-03
• Subjects: Risky driving -- Young drivers -- Longitudinal -- Antisocial behavior -- Alcohol -- Speeding; Accidents -- Prevention -- Periodicals; Accident Prevention -- Periodicals; Accidents -- Prévention -- Périodiques; 363.106
• DOI: 10.1016/j.aap.2015.12.010
• Languages: English
• ISSNs: 0001-4575

Abstract

Highlights: Lack of research comparing drivers with different risky driving patterns. Compared groups with stable, increasing and decreasing patterns from 19–20 to 27–28. Stable high-risk driving pattern was rare. Antisocial behavior and relationship status correlated with all risky driving patterns. Other correlates: binge drinking, sex, education, temperament and peer relationships. Abstract: The risky driving tendencies of young drivers has been extensively researched, but much less is known about across-time patterns of risky driving behavior and the factors which influence these. This study identified factors associated with stable, increasing and decreasing risky driving trajectories among 751 Australian drivers participating in an ongoing longitudinal study. Five groups were formed on the basis of participants' patterns of risky driving from 19–20 to 27–28 years (i.e., stable low-risk, stable speeding, stable high-risk, increasing and decreasing). Very few participants exhibited a stable high-risk pattern. Characteristics that differentiated the different across-time groups were identified using Multinomial Logistic Regression. The most consistent correlates of risky driving patterns were antisocial behavior, binge drinking and relationship status. Sex, school completion, temperament, civic engagement, and antisocial peer friendships were also correlated with different across-time patterns. The implications of these findings for road safety are discussed.