IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i4p1328-d322396.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/4/1328/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/4/1328/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. 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.
    4. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tyndall, Justin, 2021. "Pedestrian deaths and large vehicles," Economics of Transportation, Elsevier, vol. 26.
    2. Javadreza Vahedi & Afshin Shariat Mohaymany & Zahra Tabibi & Milad Mehdizadeh, 2018. "Aberrant Driving Behaviour, Risk Involvement, and Their Related Factors Among Taxi Drivers," IJERPH, MDPI, vol. 15(8), pages 1-17, August.
    3. Oviedo-Trespalacios, Oscar & Truelove, Verity & Watson, Barry & Hinton, Jane A., 2019. "The impact of road advertising signs on driver behaviour and implications for road safety: A critical systematic review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 85-98.
    4. Fabricio Esteban Espinoza Molina & Blanca del Valle Arenas Ramirez & Francisco Aparicio Izquierdo & Diana Carolina Zúñiga Ortega, 2021. "Road Safety Perception Questionnaire (RSPQ) in Latin America: A Development and Validation Study," IJERPH, MDPI, vol. 18(5), pages 1-21, March.
    5. Quy Nguyen-Phuoc, Duy & An Ngoc Nguyen, Nguyen & Nguyen, Minh Hieu & Ngoc Thi Nguyen, Ly & Oviedo-Trespalacios, Oscar, 2022. "Factors influencing road safety compliance among food delivery riders: An extension of the job demands-resources (JD-R) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 541-556.
    6. 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.
    7. Kadir Diler Alemdar & Merve Kayacı Çodur & Muhammed Yasin Codur & Furkan Uysal, 2023. "Environmental Effects of Driver Distraction at Traffic Lights: Mobile Phone Use," Sustainability, MDPI, vol. 15(20), pages 1-12, October.
    8. Lanfang Zhang & Boyu Cui & Minhao Yang & Feng Guo & Junhua Wang, 2019. "Effect of Using Mobile Phones on Driver’s Control Behavior Based on Naturalistic Driving Data," IJERPH, MDPI, vol. 16(8), pages 1-13, April.
    9. Haneen Abuzaid & Raghad Almashhour & Ghassan Abu-Lebdeh, 2024. "Driving towards Sustainability: A Neural Network-Based Prediction of the Traffic-Related Effects on Road Users in the UAE," Sustainability, MDPI, vol. 16(3), pages 1-22, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:4:p:1328-:d:322396. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.