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Driving Behaviors in Iran: Comparison of Impulsivity, Attentional Bias, and Decision-Making Styles in Safe and High-Risk Drivers

机译:伊朗的驾驶行为:安全和高风险司机冲动,注意力偏差和决策风格的比较

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Objective: Road traffic injuries are leading cause of death and economic losses, particularly in developing countriessuch as Iran. Thus, increased understanding of the causes of traffic accidents can help solve this problem.The primary goal of this study was to examine attentional bias, decision-making styles, and impulsiveness in drivers withsafe or risky driving behaviors. The secondary purpose was to determine the variance of each variable among 2 groupsof drivers.Method: This was a cross sectional design study, in which 120 male drivers aged 20-30 years (60 males with riskydriving behaviors and 60 with safe driving behaviors) were recruited from Tehran using sampling technique. BarrattImpulsiveness Scale (BIS), Decision-Making Style Scale (DMSQ), Manchester Driver Behavior Questionnaire (MDBQ),Self-Assessment Manikin Scale (SAM), and Dot Probe Task were used. The analyses were performed using IBM SPSSversion 22.Results: The mean age of participants was 26 years. Significant differences were found between impulsiveness(attentional, motor, and non planning impulsiveness) and decision-making styles (spontaneous and avoidant) betweenthe 2 groups. Also, based on the results of discriminant function analysis (DFS), the subscales of impulsiveness and 2decision-making styles explained 25% of the variance in the 2 groups of risky and safe drivers.Conclusion: Findings of this study indicated that impulsiveness and 2 decision-making styles were predominant factors.Therefore, not only is there a need for research to reduce traffic accidents, but studies can also be helpful in issuingdriving licenses to individuals.
机译:目的:道路交通损伤是死亡和经济损失的主要原因,特别是在发展中的国家作为伊朗发展。因此,增加对交通事故的原因的了解有助于解决这一问题。本研究的主要目标是探讨有关驾驶员或风险驾驶行为的司机的注意力偏见,决策风格和冲动。次要目的是确定司机中的每种变量的差异。这是一个横断面设计研究,其中120名男性司机年龄在20-30岁(具有风险型行为的60个男性和安全驾驶行为的60岁)是使用抽样技术从德黑兰招募。使用Barrattivements秤(BIS),决策风格规模(DMSQ),曼彻斯特司机行为问卷(MDBQ),自我评估人体模型量表(SAM)和DOT探测任务。使用IBM SPSVersion22进行分析。结果:参与者的平均年龄是26年。冲动(注意力,电机和非规划冲动)和2组之间的决策风格(自发和避免)之间存在显着差异。此外,基于判别函数分析(DFS)的结果,冲动和2个制定风格的分量解释了2组风险和安全司机的差异的25%。结论:本研究的结果表明冲动和2决策风格是主要的因素。因此,不仅需要进行研究来减少交通事故,但研究也有助于向个人发行许可。

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