ArticleAccident; analysis and prevention2013
Trajectories of kinematic risky driving among novice teenagers.
Article in Accident; analysis and prevention, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the clinical application of data-driven population segmentation analysis.BMC medical research methodology · 2018Pooled it
- Handheld Cellphone Use and Risky Driving in Adolescents.JAMA network open · 2024Article
- Driving in search of analyses.Statistics in medicine · 2017Article
- Learning to Drive Safely: Reasonable Expectations and Future Directions for the Learner Period.Safety (Basel, Switzerland) · 2016Article
- Naturalistic teenage driving study: Findings and lessons learned.Journal of safety research · 2015Article
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4 authors.
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Abstract
objectivesElevated gravitational force event rates are associated with the likelihood of a crash or near crash and provide an objective measure of risky driving. The purpose of this research is to examine the patterns over time of kinematic measures of risky driving among novice teenage drivers.
methodsDriving data were collected from 42 newly licensed teenage drivers during the first 18 months of licensure. Data recording systems installed in participants' vehicles provided information on driving performance and driver characteristics. Latent class and logistic regression models were used to analyze trajectories of elevated gravitational-force (g-force) event rates, called kinematic risky driving, with respect to risk groups and associated factors.
resultsKinematic risky driving over the 18-month study period was best characterized as two classes, a higher-risk and a lower-risk class. The rate of kinematic risky driving during the first 6 months generally maintained over 18 months. Indeed, of those classified by latent class analysis as higher risk, 88.9%, 94.4% and 94.4% had average event rates above the median in the 1st, 2nd, and 3rd 6-month periods, respectively, indicating substantial tracking over time. Friends' risky driving, friends' risky behavior, self-reported risky driving, and perceptions about risky driving and driving privileges were associated with trip-level rates of kinematic risky driving. However, none of these factors was associated with trip-level rates after stratifying by overall risk in a latent class model, although friend's risky driving was marginally significant.
conclusionKinematic risky driving tended to track over time within the lower and higher risky driving groups. Self-reported risky driving and having risky friends were predictors of kinematic risky driving rates, but these variables did not explain the heterogeneity within higher and lower classes of risky drivers.
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