شريف مصطفى توفيق جاويش
مدرس مساعد
Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling
PLOS. One • 2020
معلومات البحث
المؤلفون
Khaled Shaaban; Sherif Gaweesh; Mohamed M. Ahmed
الكلمات المفتاحية
Not Available
المجلة العلمية
PLOS. One
الناشر
https://doi.org/10.1371/journal.pone.0235325
المجلد
Not Available
العدد
Not Available
الصفحات
Not Available
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
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.
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.
