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

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...

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Detalles Bibliográficos
Autores principales: Shaaban, Khaled, Gaweesh, Sherif, Ahmed, Mohamed M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332036/
https://www.ncbi.nlm.nih.gov/pubmed/32614872
http://dx.doi.org/10.1371/journal.pone.0235325
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author Shaaban, Khaled
Gaweesh, Sherif
Ahmed, Mohamed M.
author_facet Shaaban, Khaled
Gaweesh, Sherif
Ahmed, Mohamed M.
author_sort Shaaban, Khaled
collection PubMed
description 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.
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spelling pubmed-73320362020-07-15 Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling Shaaban, Khaled Gaweesh, Sherif Ahmed, Mohamed M. PLoS One Research Article 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. Public Library of Science 2020-07-02 /pmc/articles/PMC7332036/ /pubmed/32614872 http://dx.doi.org/10.1371/journal.pone.0235325 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Shaaban, Khaled
Gaweesh, Sherif
Ahmed, Mohamed M.
Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling
title Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling
title_full Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling
title_fullStr Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling
title_full_unstemmed Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling
title_short Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling
title_sort investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332036/
https://www.ncbi.nlm.nih.gov/pubmed/32614872
http://dx.doi.org/10.1371/journal.pone.0235325
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