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Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver’s Rear-End Risk Compensation Behavior via a Driving Simulator Study

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  • Yunxing Chen

    (School of Automobile, Chang’an University, Xi’an 710064, China
    School of mechanical engineering, Hubei University of Arts and Science, Xiangyang 441053, China)

  • Rui Fu

    (School of Automobile, Chang’an University, Xi’an 710064, China)

  • Qingjin Xu

    (School of Automobile, Chang’an University, Xi’an 710064, China)

  • Wei Yuan

    (School of Automobile, Chang’an University, Xi’an 710064, China)

Abstract

Mobile phone use while driving has become one of the leading causes of traffic accidents and poses a significant threat to public health. This study investigated the impact of speech-based texting and handheld texting (two difficulty levels in each task) on car-following performance in terms of time headway and collision avoidance capability; and further examined the relationship between time headway increase strategy and the corresponding accident frequency. Fifty-three participants completed the car-following experiment in a driving simulator. A Generalized Estimating Equation method was applied to develop the linear regression model for time headway and the binary logistic regression model for accident probability. The results of the model for time headway indicated that drivers adopted compensation behavior to offset the increased workload by increasing their time headway by 0.41 and 0.59 s while conducting speech-based texting and handheld texting, respectively. The model results for the rear-end accident probability showed that the accident probability increased by 2.34 and 3.56 times, respectively, during the use of speech-based texting and handheld texting tasks. Additionally, the greater the deceleration of the lead vehicle, the higher the probability of a rear-end accident. Further, the relationship between time headway increase patterns and the corresponding accident frequencies showed that all drivers’ compensation behaviors were different, and only a few drivers increased their time headway by 60% or more, which could completely offset the increased accident risk associated with mobile phone distraction. The findings provide a theoretical reference for the formulation of traffic regulations related to mobile phone use, driver safety education programs, and road safety public awareness campaigns. Moreover, the developed accident risk models may contribute to the development of a driving safety warning system.

Suggested Citation

  • Yunxing Chen & Rui Fu & Qingjin Xu & Wei Yuan, 2020. "Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver’s Rear-End Risk Compensation Behavior via a Driving Simulator Study," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:4:p:1328-:d:322396
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    References listed on IDEAS

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    1. Oviedo-Trespalacios, Oscar, 2018. "Getting away with texting: Behavioural adaptation of drivers engaging in visual-manual tasks while driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 112-121.
    2. Motao Zhu & Toni M. Rudisill & Kimberly J. Rauscher & Danielle M. Davidov & Jing Feng, 2018. "Risk Perceptions of Cellphone Use While Driving: Results from a Delphi Survey," IJERPH, MDPI, vol. 15(6), pages 1-9, May.
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    Cited by:

    1. Helen Wells & Gemma Briggs & Leanne Savigar-Shaw, 2021. "The Inconvenient Truth About Mobile Phone Distraction: Understanding the Means, Motive and Opportunity for Driver Resistance to Legal and Safety Messages [‘Changes in Driver Behaviour as a Function," The British Journal of Criminology, Centre for Crime and Justice Studies, vol. 61(6), pages 1503-1520.
    2. Yuning Wang & Shuocheng Yang & Jinhao Li & Shaobing Xu & Jianqiang Wang, 2023. "An Emergency Driving Intervention System Designed for Driver Disability Scenarios Based on Emergency Risk Field," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    3. Rui Fu & Yunxing Chen & Qingjin Xu & Yuxi Guo & Wei Yuan, 2020. "A Comparative Study of Accident Risk Related to Speech-Based and Handheld Texting during a Sudden Braking Event in Urban Road Environments," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
    4. Gheorghe-Daniel Voinea & Răzvan Gabriel Boboc & Ioana-Diana Buzdugan & Csaba Antonya & George Yannis, 2023. "Texting While Driving: A Literature Review on Driving Simulator Studies," IJERPH, MDPI, vol. 20(5), pages 1-30, February.
    5. Răzvan Gabriel Boboc & Gheorghe Daniel Voinea & Ioana-Diana Buzdugan & Csaba Antonya, 2022. "Talking on the Phone While Driving: A Literature Review on Driving Simulator Studies," IJERPH, MDPI, vol. 19(17), pages 1-27, August.

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