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Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling

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  • Khaled Shaaban
  • Sherif Gaweesh
  • Mohamed M Ahmed

Abstract

Distracted driving has been considered one of the main reasons for traffic crashes in recent times, especially among young drivers. The objectives of this study were to identify the distracting activities in which young drivers engage, assess the most distracting ones based on their experiences, and investigate the factors that might increase crash risk. The data were collected through a self-report questionnaire. Most participants reported frequent cell phone use while driving. Other reported activities include adjusting audio devices, chatting with passengers, smoking, eating, and drinking. A structural equation model was constructed to identify the latent variables that have a significant influence on crash risk. The analysis showed that in-vehicle distractions had a high effect on the crash likelihood. The results also indicated that dangerous driving behavior had a direct effect on the crash risk probability, as well as on the rash driving latent variables. The results provide insight into distracted driving behavior among young drivers and can be useful in developing enforcement and educational strategies to reduce this type of behavior.

Suggested Citation

  • Khaled Shaaban & Sherif Gaweesh & Mohamed M Ahmed, 2020. "Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-14, July.
    • Handle: RePEc:plo:pone00:0235325
    DOI: 10.1371/journal.pone.0235325
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