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Validating Driver Behavior and Attitude Measure for Older Italian Drivers and Investigating Their Link to Rare Collision Events

机译:验证凡人意大利司机的驾驶员行为和态度措施,并调查罕见碰撞事件的链接

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The present study aimed to: a) validate the factor structures of three scales assessing driving behaviour, attitudes towards traffic safety and self-regulation in driving, in a sample of Italian older adults, through Confirmatory Factor Analyses (CFAs) and, b) to determine the effectiveness of these measures in predicting the likelihood and the frequency of collision involvements in the following year. A 28-item Driver Behaviour Questionnaire (DBQ), a 16-item Attitudes Towards Traffic Safety (ATTS), a 21-item Extended Driving Mobility Questionnaire (DMQ-A) were administered to 369 active Italian drivers, aged between 60 and 91 years. Results showed a four-factor structure for the DBQ, a five-factor structure for the ATTS and a two-factor structure for the Extended DMQ-A, as the best fitting models. Hurdle model analysis of count data with extra-zeros showed that all factors of DBQ predicted the likelihood of road collisions. Risky behaviour, except for aggressive violations, self-regulation and attitudes towards traffic rules were associated with the frequency of collision involvement. The aforementioned three scales seemed to be a useful and concise suite of instruments assessing risky as well as protective factors of driving behaviour in elderly.
机译:本研究旨在:a)验证三种尺度的因子结构,评估驾驶行为,在意大利老年人的样本中验证驾驶行为的三种尺度,态度在意大利老年人的样本中,通过确认因素分析(CFA)和B)来实现确定这些措施在预测可能性和碰撞频率的措施中的有效性。一个28件驾驶员行为问卷(DBQ),对交通安全的16项态度(ATTS),21项扩展驾驶移动性问卷(DMQ-A)进行了369岁的意大利司机,年龄在60至91岁之间。结果显示了DBQ的四因素结构,用于ATT的五因素结构以及扩展DMQ-A的双因子结构,作为最佳拟合模型。跨零计算数据的障碍模型分析表明,DBQ的所有因素都预测了道路冲突的可能性。危险行为除外,除了侵略性的违规行为,自我监管和交通规则的态度与碰撞受累的频率有关。上述三种尺度似乎是一种有用而简洁的仪器,评估风险,以及老年人驾驶行为的保护因素。

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