Parseh Designers Transportation Research Institute Quarterly Journal of Transportation Engineering 2008-6598 17 3 2026 03 21 A Model of High-Risk Driving Behaviors of Commercial Vehicle Drivers Based on Measures of Behavior and Attitudes A Model of High-Risk Driving Behaviors of Commercial Vehicle Drivers Based on Measures of Behavior and Attitudes 5525 5562 213832 10.22119/jte.2025.467182.2711 FA Mohammad Damadi Ph.D. Candidate, Department of Road and Transportation Engineering, Faculty of Civil Engineering, Babol Noshirvani University of Technology, Babol, Iran Farshidreza Haghighi Associate Professor, Department of Road and Transportation Engineering, Faculty of Civil Engineering, Babol Noshirvani University of Technology, Babol, Iran 0000-0002-6823-4458 Journal Article 2024 07 10 <span>The current study examines the complex factors affecting risky driving behaviors and accident probability among commercial vehicle drivers in Sari, Iran. The main goal of this article is to reduce traffic accidents through a better understanding of the psychological and social factors associated with high-risk behaviors. In this research, a structured questionnaire was used to collect data from a sample of 400 commercial drivers. This study utilizes statistical methods, including descriptive statistics and Structural Equation Modeling (SEM), to reveal the complex relationships between attitudes, perceptions, social influences, and personal characteristics that contribute to these critical road safety concerns. This comprehensive study investigates the complex factors influencing high-risk driving behaviors and crash likelihood among commercial vehicle drivers. Utilizing advanced structural equation modeling techniques, the research unveils intricate relationships between the attitudes, perceptions, social influences, and personal traits that contribute to these vital road safety concerns. Based on the research findings, perceived social acceptance of high-risk driving was positively associated with subjective norms regarding such behaviors (0.63). These subjective norms, in turn, had a strong positive relation with pro-high-risk driving attitudes (0.70). Conversely, negative beliefs about the consequences of high-risk driving were negatively associated with attitudes toward those behaviors (-0.54). Personality traits like extraversion and psychoticism showed moderate positive relationships with accepting attitudes toward high-risk driving (0.42). Personal acceptance of high-risk driving behaviors itself strongly predicted positive attitudes (0.77). The driver's affect and mood state negatively impacted risk perception (-0.62), with lower perceived risk associated with increased intention for high-risk driving (-0.74). Compliance and enforcement actions positively influenced perceived behavioral control over risky acts (0.50), which then positively predicted deliberate engagement in those behaviors (0.60). Notably, attitudes emerged as the strongest predictor of behavioral intentions (0.75), with cautious attitudes relating to safer intended behaviors, and risk-accepting attitudes associating with riskier intentions. The findings highlight the importance of targeting multiple factors to promote safer commercial driving, including core beliefs about the consequences of high-risk behavior, perceived social norms, personal acceptance of risky practices, relevant personality effects, and accurate risk assessments.</span> <span>The current study examines the complex factors affecting risky driving behaviors and accident probability among commercial vehicle drivers in Sari, Iran. The main goal of this article is to reduce traffic accidents through a better understanding of the psychological and social factors associated with high-risk behaviors. In this research, a structured questionnaire was used to collect data from a sample of 400 commercial drivers. This study utilizes statistical methods, including descriptive statistics and Structural Equation Modeling (SEM), to reveal the complex relationships between attitudes, perceptions, social influences, and personal characteristics that contribute to these critical road safety concerns. This comprehensive study investigates the complex factors influencing high-risk driving behaviors and crash likelihood among commercial vehicle drivers. Utilizing advanced structural equation modeling techniques, the research unveils intricate relationships between the attitudes, perceptions, social influences, and personal traits that contribute to these vital road safety concerns. Based on the research findings, perceived social acceptance of high-risk driving was positively associated with subjective norms regarding such behaviors (0.63). These subjective norms, in turn, had a strong positive relation with pro-high-risk driving attitudes (0.70). Conversely, negative beliefs about the consequences of high-risk driving were negatively associated with attitudes toward those behaviors (-0.54). Personality traits like extraversion and psychoticism showed moderate positive relationships with accepting attitudes toward high-risk driving (0.42). Personal acceptance of high-risk driving behaviors itself strongly predicted positive attitudes (0.77). The driver's affect and mood state negatively impacted risk perception (-0.62), with lower perceived risk associated with increased intention for high-risk driving (-0.74). Compliance and enforcement actions positively influenced perceived behavioral control over risky acts (0.50), which then positively predicted deliberate engagement in those behaviors (0.60). Notably, attitudes emerged as the strongest predictor of behavioral intentions (0.75), with cautious attitudes relating to safer intended behaviors, and risk-accepting attitudes associating with riskier intentions. The findings highlight the importance of targeting multiple factors to promote safer commercial driving, including core beliefs about the consequences of high-risk behavior, perceived social norms, personal acceptance of risky practices, relevant personality effects, and accurate risk assessments.</span> https://jte.sinaweb.net/article_213832_1249c7b16df2c46b21c31b44dd19cb6e.pdf