【2h】

Crash Risk of Older Female Drivers – Contributing Factors

机译:老年女司机的撞车风险–成因

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摘要

Using data from i) a self-administered survey of 673 older female drivers, and ii) a case-control study of 48 crash-involved and 44 non crash-involved older female drivers, some factors that may predict crash involvement were identified. Survey data gathered self-reported information on demographic characteristics, health status, travel patterns and driving practices. A battery of functional performance assessments were administered by trained experimenters in the case-control study, and participants completed a second detailed self-administered questionnaire. Factors found to predict crash involvement included driving characteristics such as being the main driver in the household, not highly confident of being a safe driver, experiencing difficulty driving in unfamiliar areas and having problems with the driving style of other drivers. In addition, low attentional, cognitive and motor skills and presence of multiple medical conditions were significant predictors of crash involvement.
机译:使用以下数据:i)对673名老年女性驾驶员的自我管理调查,以及ii)对48名与撞车有关和44名与撞车无关的年长女性驾驶员的病例对照研究,确定了一些可预测撞车事故的因素。调查数据收集了有关人口特征,健康状况,出行方式和驾驶习惯的自我报告信息。在案例对照研究中,由训练有素的实验者进行了一系列功能绩效评估,参与者完成了第二份详细的自我管理调查表。被发现可以预测撞车事故的因素包括驾驶特征,例如家庭中的主要驾驶员,对安全驾驶员的信心不足,在不熟悉的地区驾驶困难以及其他驾驶员的驾驶方式存在问题。此外,注意力,认知和运动技能低下以及多种医疗状况的存在是撞车事故的重要预测指标。

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