Motor Vehicle - Teen Driving
- Crash risk factors associated with injury severity of teen drivers.
- Duddu V, Kukkapalli V, Pulugurtha S
- IATSS Research. 2019 Apr; 43:37-43.
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Rationale for Inclusion: Paper focuses on identifying crash risk factors associated with injury severity of teen drivers. Crash data from highway safety information systems in North Carolina. The results obtained indicate that teen drivers driving sports utility vehicles and pickup trucks are more likely to be severely injured when compared to teen drivers driving passenger cars. Teen drivers are more likely to be severely injured on weekdays, particularly during peak hours. Age, gender, road configuration, terrain, adverse weather condition, and access control are observed to have a significant effect on teen driver's injury severity.
CAVEAT: Single state
Citations - To review the number of citations for this landmark paper, visit Google Scholar.
- Committee on Adolescense; Council on Injury, Violence, and Poison Prevention: The Teen Driver
- Alderman EM, Johnston BD; COMMITTEE ON ADOLESCENCE; COUNCIL ON INJURY, VIOLENCE, AND POISON PREVENTION.
- Pediatrics. 2018 Oct;142(4):e20182163.
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Rationale for Inclusion: This policy statement, in which we update the previous 2006 iteration of this policy statement, is used to reflect new research on the risks faced by teen drivers and offer advice for pediatricians counseling teen drivers and their families.
CAVEAT: Policy statement
Citations - To review the number of citations for this landmark paper, visit Google Scholar.
- Teen driver system modeling: a tool for policy analysis
- Misskpode C, Peek-Asa C, McGehee D, Torner J, Wakeland W, Wallace R
- Inj Epidemiol. 2018 Sep 17;5(1):34.
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Rationale for Inclusion: System Dynamics methodology was used as a new way of representing factors involved in the underlying process of teen crash risk. A Teen Driver System Model was developed by following an iterative process where causal hypotheses were translated into systems of differential equations to test whether they can reproduce historical teen driving data. The analysis suggests that natural risky driving improvement curve follows a course of a slow improvement, then a faster improvement, and finally a plateau. Individual risky driving behavior depends on initial risk and driving exposure.
CAVEAT: Injury model study
Citations - To review the number of citations for this landmark paper, visit Google Scholar.
- Examining teen driver crashes and the prevalence of distraction: Recent trends, 2007-2015
- Examining teen driver crashes and the prevalence of distraction: Recent trends, 2007-2015
- J Safety Res. 2018 Feb;64:21-27.
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Rationale for Inclusion: The purpose of this study was to identify types of vehicle crashes teens are most frequently involved in, as well as the distracting activities being engaged in leading up to these crashes, with a focus on identifying changes or trends over time. Findings suggest that shifts in the way cell phones are being used, from talking/listening to operating/looking, may be a cause of the increasing number of rear-end crashes for teen drivers.
CAVEAT: Video review
Citations - To review the number of citations for this landmark paper, visit Google Scholar.
- A multiyear assessment of a hospital-school program to promote teen motor vehicle safety.
- Unni P, Estrada CM, Chung DH, Riley EB, Worsley-Hynd L, Stinson N.
- J Trauma Acute Care Surg. 2017 Aug;83(2):289-295.
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Rationale for inclusion: A two-phase study using student leaders to both conceptualize and deploy a program intended to decrease texting while driving. This novel program was effective in reducing texting while driving.
Citations - To review the number of citations for this landmark paper, visit Google Scholar.