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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7332036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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