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Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity

Author

Listed:
  • Susana García-Herrero

    (Escuela Politécnica Superior, Universidad de Burgos, 09006 Burgos, Spain)

  • Juan Diego Febres

    (Department of Chemistry and Exact Sciences, Universidad Técnica Particular de Loja, 110107 Loja, Ecuador)

  • Wafa Boulagouas

    (Escuela Politécnica Superior, Universidad de Burgos, 09006 Burgos, Spain)

  • José Manuel Gutiérrez

    (Consejo Superior de Investigaciones Científicas, 39005 Santander, Spain)

  • Miguel Ángel Mariscal Saldaña

    (Escuela Politécnica Superior, Universidad de Burgos, 09006 Burgos, Spain)

Abstract

Multitasking while driving negatively affects driving performance and threatens people’s lives every day. Moreover, technology-based distractions are among the top driving distractions that are proven to divert the driver’s attention away from the road and compromise their safety. This study employs recent data on road traffic accidents that occurred in Spain and uses a machine-learning algorithm to analyze, in the first place, the influence of technology-based distracted driving on drivers’ infractions considering the gender and age of the drivers and the zone and the type of vehicle. It assesses, in the second place, the impact of drivers’ infractions on the severity of traffic accidents. Findings show that (i) technology-based distractions are likely to increase the probability of committing aberrant infractions and speed infractions; (ii) technology-based distracted young drivers are more likely to speed and commit aberrant infractions; (iii) distracted motorcycles and squad riders are found more likely to speed; (iv) the probability of committing infractions by distracted drivers increases on streets and highways; and, finally, (v) drivers’ infractions lead to serious injuries.

Suggested Citation

  • Susana García-Herrero & Juan Diego Febres & Wafa Boulagouas & José Manuel Gutiérrez & Miguel Ángel Mariscal Saldaña, 2021. "Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity," IJERPH, MDPI, vol. 18(13), pages 1-15, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:13:p:7155-:d:588269
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    References listed on IDEAS

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    1. Wafa Boulagouas & Susana García-Herrero & Rachid Chaib & Juan Diego Febres & Miguel Ángel Mariscal & Mébarek Djebabra, 2020. "An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement," IJERPH, MDPI, vol. 17(18), pages 1-26, September.
    2. Lord, Dominique & Mannering, Fred, 2010. "The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 291-305, June.
    3. Muhammad Tanveer & Faizan Ahmad Kashmiri & Hassan Naeem & Huimin Yan & Xin Qi & Syed Muzammil Abbas Rizvi & Tianshi Wang & Huapu Lu, 2020. "An Assessment of Age and Gender Characteristics of Mixed Traffic with Autonomous and Manual Vehicles: A Cellular Automata Approach," Sustainability, MDPI, vol. 12(7), pages 1-22, April.
    4. Seyed Mohsen Hosseinian & Vahid Najafi Moghaddam Gilani & Hossein Tahmasbi Amoli & Mohammad Nikookar & Alireza Orouei, 2021. "Presentation of Analytical Methods for Better Decision Making about the Most Important Factor Influencing Rural Accidents," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-16, March.
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    Cited by:

    1. Carlos A. Catalina Ortega & Miguel A. Mariscal & Wafa Boulagouas & Sixto Herrera & Juan M. Espinosa & Susana García-Herrero, 2021. "Effects of Mobile Phone Use on Driving Performance: An Experimental Study of Workload and Traffic Violations," IJERPH, MDPI, vol. 18(13), pages 1-22, July.
    2. 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.
    3. Amini, Mostafa & Bagheri, Ali & Delen, Dursun, 2022. "Discovering injury severity risk factors in automobile crashes: A hybrid explainable AI framework for decision support," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    4. Shuang Luo & Xinxin Yi & Yiming Shao & Jin Xu, 2022. "Effects of Distracting Behaviors on Driving Workload and Driving Performance in a City Scenario," IJERPH, MDPI, vol. 19(22), pages 1-14, November.

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