ArticleThe Journal of pediatrics2013
Variability in crash and near-crash risk among novice teenage drivers: a naturalistic study.
Article in The Journal of pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Alcohol- and speeding-related fatal crashes among novice drivers age 18-20 not fully licensed at the time of the crash.Drug and alcohol dependence · 2021Article
- Measuring Risky Driving Behavior Using an mHealth Smartphone App: Development and Evaluation of gForce.JMIR mHealth and uHealth · 2018Article
- Evaluation of risk change-point for novice teenage drivers.Accident; analysis and prevention · 2017Article
- Driving in search of analyses.Statistics in medicine · 2017Article
- Do Young Drivers Become Safer After Being Involved in a Collision?Psychological science · 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
- Risky driving, mental health, and health-compromising behaviours: risk clustering in late adolescents and adults.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2014Article
- Higher crash and near-crash rates in teenaged drivers with lower cortisol response: an 18-month longitudinal, naturalistic study.JAMA pediatrics · 2014Article
- A Bayesian finite mixture change-point model for assessing the risk of novice teenage drivers.Journal of applied statisticsArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveUsing video monitoring technologies, we investigated teenage driving risk variation during the first 18 months of independent driving. STUDY
designDriving data were collected on 42 teenagers whose vehicles were instrumented with sophisticated video and data recording devices. Surveys on demographic and personality characteristics were administered at baseline. Drivers were classified into 3 risk groups using a K-mean clustering method based on crash and near-crash (CNC) rate. The change in CNC rates over time was evaluated by mixed-effect Poisson models.
resultsCompared with the first 3 months after licensure (first quarter), the CNC rate for participants during the third, fourth, and fifth quarters decreased significantly to 59%, 62%, and 48%, respectively. Three distinct risk groups were identified with CNC rates of 21.8 (high-risk), 8.3 (moderate-risk), and 2.1 (low-risk) per 10 000 km traveled. High- and low-risk drivers showed no significant change in CNC rates throughout the 18-month study period. CNC rates for moderate-risk drivers decreased substantially from 8.8 per 10 000 km in the first quarter to 0.8 and 3.2 in the fourth and fifth quarters, respectively. The 3 groups were not distinguishable with respect to personality characteristics.
conclusionTeenage CNC rates varied substantially, with distinct high-, moderate-, and low-risk groups. Risk declined over time only in the moderate-risk group. The high-risk drivers appeared to be insensitive to experience, with CNC rates consistently high throughout the 18-month study period, and the moderate-risk group appeared to learn from experience.
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