Which Personality Types are More Prone to a Traffic Accident?
سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 59
فایل این مقاله در 23 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJTE-13-2_002
تاریخ نمایه سازی: 26 آذر 1404
چکیده مقاله:
Every ۲۴ seconds, one person dies in a traffic accident. The most considerable rate of road traffic deaths occurs in low and middle-income countries. As a result, it is critical to pay special attention to road safety in these countries. Road safety may be influenced by human, road, and vehicle variables. Despite significant investments in automotive and road building, long-term benefits are not yet comparable with these expenses; as a result, it is required to investigate the sources of this inefficiency in other instances. Academics have traditionally paid less attention to human psychological factors, the primary element determining accidents. Due to the complexity of the human being, continual and broad research to establish its characteristics might always be beneficial in the long run for improving road safety. Numerous elements influence driver behaviour, including the driver’s personality, identity, responsibility, haste, risk-taking, information, fear, loyalty, and experience. As a result, this study analyzed five personality traits of certified individuals residing in Tehran, Iran, using the standard ۶۰-item NEO Five-Factor Inventory questionnaire (NEO-FFI). The impacts of these factors on the number of accidents over the last five years were also evaluated. The study employed a structural equation model and found that Neuroticism has a direct and significant association with the number of accidents during the previous five years. Contrary to this, agreeableness and openness had a significant and inverse relationship with the number of traffic accidents.
کلیدواژه ها:
نویسندگان
Hassan Jafari
Department of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran
Mansour Hadji Hosseinlou
Department of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran
Mahdi Yazdanpanah
Department of Engineering, Faculty of Civil Engineering, University of Garmsar, Garmsar, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :