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Peer influence predicts speeding prevalence among teenage drivers
Authors:Bruce G Simons-Morton  Marie Claude Ouimet  Rusan Chen  Sheila G Klauer  Suzanne E Lee  Jing Wang  Thomas A Dingus
Institution:1. Eunice Kennedy Shriver National Institutes of Child Health and Human Development, Bethesda, MD;2. Faculty of Medicine and Health Science, University of Sherbrooke, Longueil, Quebec, Canada;3. Georgetown University, Washington DC;4. Virginia Technical University, Blacksburg, VA;1. University of New South Wales, Australia;2. University of Wollongong, Australia;3. Department of Health, University of Wollongong, Australia;4. Centre for Primary Health Care and Equity, University of New South Wales, Australia;1. Hasselt University, Transportation Research Institute (IMOB), Wetenschapspark 5, bus 6, BE-3590 Diepenbeek, Belgium;2. Faculty of Applied Engineering Sciences, Agoralaan—building H, BE-3590 Diepenbeek, Belgium;1. The University of Iowa, Iowa City, IA 52242, United States;2. University of Washington, Seattle, WA 98195, United States;1. University of the Sunshine Coast Accident Research (USCAR), Faculty of Arts and Business, University of the Sunshine Coast;2. Centre for Accident Research and Road Safety - Queensland (CARRS-Q), Queensland University of Technology;3. Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology;4. Behavioural Basis of Health, Griffith Health Institute, Griffith University;5. School of Psychology and Counselling and Institute of Health and Biomedical Innovation, Queensland University of Technology;1. Department of Statistics, Virginia Tech, Blacksburg, VA;2. Virginia Tech Transportation Institute, Blacksburg, VA;3. Division of Epidemiology, Statistics, and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD;4. Faculty of Medicine and Health Sciences, University of Sherbrooke, Longueuil, Quebec, Canada;5. Charles E. Via, Jr Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA;1. University of the Sunshine Coast Accident Research, Faculty of Arts and Business, University of the Sunshine Coast, Sippy Downs Drive, Sippy Downs 4556, Australia;2. Centre for Accident Research and Road Safety – Queensland, Queensland University of Technology (QUT), Australia;3. Institute of Health and Biomedical Innovation, QUT, Australia;4. School of Psychology and Counselling, QUT, Australia;5. Griffith Health Institute, Griffith University, Australia
Abstract:Impact on IndustryPreventing speed-related crashes could reduce costs and improve efficiency in the transportation industry.ObjectiveThis research examined the psychosocial and personality predictors of observed speeding among young drivers.MethodSurvey and driving data were collected from 42 newly-licensed teenage drivers during the first 18 months of licensure. Speeding (i.e., driving 10 mph over the speed limit; about 16 km/h) was assessed by comparing speed data collected with recording systems installed in participants' vehicles with posted speed limits.ResultsSpeeding was correlated with elevated g-force event rates (r = 0.335, pb0.05), increased over time, and predicted by day vs. night trips, higher sensation seeking, substance use, tolerance of deviance, susceptibility to peer pressure, and number of risky friends. Perceived risk was a significant mediator of the association between speeding and risky friends.ConclusionThe findings support the contention that social norms may influence teenage speeding behavior and this relationship may operate through perceived risk.
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