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Javanbakht, Navid, Mirbaha, Babak. (1404). From Traits to Speed Control: Engineering Insights from a Driving-Simulator Hazard Scenario. پژوهشنامه مدیریت اجرایی, 3(1), 10-19. doi: 10.22080/cste.2025.29839.1075
Navid Javanbakht; Babak Mirbaha. "From Traits to Speed Control: Engineering Insights from a Driving-Simulator Hazard Scenario". پژوهشنامه مدیریت اجرایی, 3, 1, 1404, 10-19. doi: 10.22080/cste.2025.29839.1075
Javanbakht, Navid, Mirbaha, Babak. (1404). 'From Traits to Speed Control: Engineering Insights from a Driving-Simulator Hazard Scenario', پژوهشنامه مدیریت اجرایی, 3(1), pp. 10-19. doi: 10.22080/cste.2025.29839.1075
Javanbakht, Navid, Mirbaha, Babak. From Traits to Speed Control: Engineering Insights from a Driving-Simulator Hazard Scenario. پژوهشنامه مدیریت اجرایی, 1404; 3(1): 10-19. doi: 10.22080/cste.2025.29839.1075

From Traits to Speed Control: Engineering Insights from a Driving-Simulator Hazard Scenario

Contributions of Science and Technology for Engineering
مقاله 2، دوره 3، شماره 1، اردیبهشت 2026، صفحه 10-19    اصل مقاله (557.85 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22080/cste.2025.29839.1075
نویسندگان
Navid Javanbakht* 1؛ Babak Mirbaha2
1Civil Engineering Department, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran
2Civil Engineering Department, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran.
تاریخ دریافت: 21 مرداد 1404،  تاریخ بازنگری: 03 مهر 1404،  تاریخ پذیرش: 08 مهر 1404 
چکیده
Selecting an appropriate speed when approaching roadway hazards plays a crucial role in driving safety, and psychological factors can significantly influence this choice. This study aimed to investigate the direct and indirect effects of certain latent psychological variables on drivers’ speed deviation before and after hazard exposure, as well as the interrelationships among these variables. Data were collected from 197 licensed drivers using a driving simulator alongside two validated questionnaires—the Aggressive Driving Questionnaire and the Driver Behavior Questionnaire (DBQ)—and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicated that eight out of nine hypotheses were statistically significant; specifically, hostile behavior showed a strong positive association with risky driving and self-willed violations, which in turn positively influenced inexperience errors. Self-willed violations were also linked to higher average speeds, although drivers reduced their speed when directly confronted with hazards. Conversely, inexperience errors were associated with unsafe speed increases when facing hazards. Subjective norms had no significant effect on speed deviation. The highest path coefficient (0.86) was observed between self-willed violations and inexperience errors. These findings emphasize the important roles of emotional traits, deliberate risky behaviors, and skill deficits in speed regulation, suggesting that targeted training and emotional regulation interventions could improve speed choices under hazardous driving conditions.
کلیدواژه‌ها
Road Hazard؛ Structural Equation Modeling؛ Psychological Factors؛ Aggressive Driving؛ Driver Behavior Questionnaire (DBQ)
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