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Distracted Driving, Visual Inattention, and Crash Risk Among Teenage Drivers

Published:February 21, 2019DOI:https://doi.org/10.1016/j.amepre.2018.11.024

      Introduction

      Distracted driving resulting from secondary task engagement is a major contributing factor to teenage drivers’ crash risk. This study aims to determine the extent to which visual inattention while engaging in distracting secondary tasks contributes to teenage drivers’ crash risk.

      Methods

      Real-world driving data were collected from a cohort of 82 newly licensed teenagers (average age 16.48 years, SD=0.33) recruited in Virginia. Participants’ private vehicles were equipped with data acquisition systems that documented driving kinematics and miles driven, and made video recordings of the driver and driving environment. Data were collected from 2010 to 2014 and analyzed in 2017. The analysis of secondary task engagement was based on 6-second video segments from both crash and random samples of normal driving.

      Results

      Of a wide range of secondary tasks, only manual cellphone use (OR=2.7, 95% CI=1.1, 6.8) and reaching/handling objects while driving (OR=6.9, 95% CI=2.6, 18.6) were associated with increased crash risk. Drivers’ duration of eyes off the road accounted for 41% of the crash risk associated with manual cellphone use and 10% of the risk associated with reaching/handling objects while driving.

      Conclusions

      Secondary tasks vary in the risk they introduce to the teenage driver. Manual cellphone use and reaching for objects were found to be associated with increased crash risk. These findings objectively quantify the effect of visual inattention resulting from distracting secondary tasks on teenage drivers’ crash risk. Teenage drivers may benefit from technologic and behavioral interventions that will keep their eyes on the road at all times and discourage engagement in distracting secondary tasks.
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      REFERENCES

        • National Highway Traffic Safety Administration
        Traffic Safety Facts 2015: A Compilation of Motor Vehicle Crash Data From the Fatal Accident Reporting System and the General Estimates System.
        National Highway Traffic Safety Administration, Washington, DC2017
        • National Highway Traffic Safety Administration
        Young Drivers: 2015 Data.
        National Highway Traffic Safety Administration, Washington, DC2017
        • Tison J
        • Chaudhary N
        • Cosgrove L
        National Phone Survey on Distracted Driving Attitudes and Behaviors.
        National Highway Traffic Safety Administration, Washington, DC2011
        • Klauer SG
        • Guo F
        • Simons-Morton BG
        • Ouimet MC
        • Lee SE
        • Dingus TA
        Distracted driving and risk of road crashes among novice and experienced drivers.
        N Engl J Med. 2014; 370: 54-59
        • Fisher DL
        • Caird J
        • Horrey W
        • Trick L
        Handbook of Teen and Novice Drivers: Research, Practice, Policy, and Directions.
        CRC Press, Boca Raton, FL2016
        • Gershon P
        • Zhu C
        • Klauer SG
        • Dingus T
        • Simons-Morton B
        Teens’ distracted driving behavior: prevalence and predictors.
        J Safety Res. 2017; 63: 157-161
        • Carney C
        • Harland KK
        • McGehee DV
        Using event-triggered naturalistic data to examine the prevalence of teen driver distractions in rear-end crashes.
        J Safety Res. 2016; 57: 47-52
        • Simons-Morton BG
        • Guo F
        • Klauer SG
        • Ehsani JP
        • Pradhan AK
        Keep your eyes on the road: young driver crash risk increases according to duration of distraction.
        J Adolesc Health. 2014; 54: S61-S67
        • Lee JD
        Technology and teen drivers.
        J Safety Res. 2007; 38: 203-213
        • Neyens DM
        • Boyle LN
        The influence of driver distraction on the severity of injuries sustained by teenage drivers and their passengers.
        Accid Anal Prev. 2008; 40: 254-259
        • Gershon P
        • Ehsani JP
        • Zhu C
        • et al.
        Crash risk and risky driving behavior among adolescents during learner and independent driving periods.
        J Adolesc Health. 2018; 63: 568-574
        • Ehsani JP
        • Li K
        • Grant BJ
        • et al.
        Factors influencing learner permit duration.
        Safety. 2016; 3: 2
        • Dingus TA
        • Klauer SG
        • Neale VL
        • et al.
        The 100-car naturalistic driving study, Phase II–results of the 100-car field experiment.
        National Highway Traffic Safety Administration, Washington, DC2006
        • Greenland S
        • Thomas DC
        On the need for the rare disease assumption in case-control studies.
        Am J Epidemiol. 1982; 116: 547-553
        • Guo F
        • Hankey JM
        Modeling 100-car safety events: a case-based approach for analyzing naturalistic driving data.
        Virginia Tech. Virginia Tech Transportation Institute, 2009
        vtechworks.lib.vt.edu/handle/10919/7406
        Date accessed: February 4, 2019
        • Tingley D
        • Yamamoto T
        • Hirose K
        • Keele L
        • Imai K
        Mediation: R package for causal mediation analysis.
        J Stat Soft. 2014; 59
        • VanderWeele T.
        Explanation in causal inference: methods for mediation and interaction.
        Oxford University Press, New York2015
        • Imai K
        • Keele L
        • Tingley D
        A general approach to causal mediation analysis.
        Psychol Methods. 2010; 15: 309-334
        • Guo F
        • Klauer SG
        • Fang Y
        • et al.
        The effects of age on crash risk associated with driver distraction.
        Int J Epidemiol. 2016; 46: 258-265
        • Wang Y
        • Bao S
        • Du W
        • Ye Z
        • Sayer JR
        Examining drivers’ eye glance patterns during distracted driving: insights from scanning randomness and glance transition matrix.
        J Safety Res. 2017; 63: 149-155
        • Caird JK
        • Simmons SM
        • Wiley K
        • Johnston KA
        • Horrey WJ
        Does talking on a cell phone, with a passenger, or dialing affect driving performance? An updated systematic review and meta-analysis of experimental studies.
        Hum Factors. 2018; 60: 101-133
        • National Highway Traffic Safety Administration
        2015 motor vehicle crashes: overview.
        Traffic Safety Facts Research Note, Published 2016