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The slow and the furious: Anger, stress and risky passing in simulated traffic congestion

机译:缓慢而愤怒:模拟交通拥堵中的愤怒,压力和危险过境

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112 college students participated in a study of simulated driving to investigate how trait driver aggression, state anger and coping predict risk-taking behaviors such as tailgating and frequency of passing. The simulation scenario, driving in slow traffic, elicited both anger and stress. However, consistent with the transactional model of driver stress, anger and distress were associated with different patterns of coping. Both anger and aggression were associated with dispositional confrontive coping. Drivers were afforded opportunities to pass other traffic, in risky circumstances. Dispositional coping factors, especially confrontive coping, predicted risk-taking behaviors, such as frequent passing and tailgating prior to the pass. However, trait aggression and anger did not predict risky behaviors. Confrontive drivers may have developed habitual behavioral styles that are expressed irrespective of current mood and coping strategy. The findings suggest that stress or anger management may be only a partial solution to dangerous driving in congested conditions. Further investigation of how drivers acquire confrontive behavioral styles is needed. The data also support multivariate approaches to selecting safe drivers in commercial and industrial contexts. Published by Elsevier Ltd.
机译:112名大学生参加了模拟驾驶的研究,以研究特质驾驶员的攻击性,状态愤怒和应对方式如何预测冒险行为,例如尾随和通过频率。在慢速行驶的情况下,模拟场景引起了愤怒和压力。然而,与驾驶员压力的交易模型相一致,愤怒和痛苦与不同的应对方式有关。愤怒和侵略都与性格对抗性应对有关。在危险情况下,为驾驶员提供了通过其他交通的机会。性格的应对因素,尤其是对抗性应对,可以预测冒险行为,例如频繁通过和通过之前的尾随。然而,特质的攻击性和愤怒并不能预测危险行为。面对面的驾驶员可能已经发展出习惯性的行为方式,无论当前的情绪和应对策略如何,这些习惯性行为方式都会表现出来。研究结果表明,压力或愤怒管理可能只是在拥挤状况下危险驾驶的部分解决方案。需要进一步研究驾驶员如何获得正面的行为风格。数据还支持在商业和工业环境中选择安全驱动因素的多元方法。由Elsevier Ltd.发布

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