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Factors influential in making an injury severity difference to older drivers involved in fixed object-passenger car crashes

机译:影响与固定对象乘客车祸有关的年长驾驶员造成伤害严重性差异的因素

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摘要

To identity factors influencing severity of injury to older drivers in fixed object-passenger car crashes, two sets of sequential biliary logistic regression models were developed. The dependent variable in one set of models was driver injury severity, whereas for the other it was the crash severity (most severe injury in the crash). For each set of models, crash or injury severity was varied from the least severity level (no injury) to the highest severity level (fatality) and vice versa. The source of data was police crash reports from the stale of Florida. The model with the best fitting and highest predictive capability was used to identify the influence of roadway, environmental, vehicle, and driver related factors on severity. Travel speed, restraint device usage, point of impact, use of alcohol and drugs, personal condition, gender, whether the driver is at fault, urban/rural nature and grade/curve existence at the crash location were identified as the important factors for making an injury severity difference to older drivers involved in single vehicle crashes.
机译:为了确定影响固定对象乘客车祸中老年驾驶员受伤严重程度的因素,开发了两组连续的胆道逻辑回归模型。一组模型中的因变量是驾驶员伤害严重性,而另一组模型是碰撞严重性(碰撞中最严重的伤害)。对于每组模型,崩溃或伤害的严重性从最低严重性级别(无伤害)到最高严重性级别(致命)有所不同,反之亦然。数据来源是来自佛罗里达州过时的警察失事报告。具有最佳拟合和最高预测能力的模型用于确定道路,环境,车辆和驾驶员相关因素对严重性的影响。行进速度,约束装置的使用,撞击点,酒精和毒品的使用,个人情况,性别,驾驶员是否有过失,撞车地点的城市/农村性质以及坡度/曲线存在被确定为重要因素与单车事故有关的年长驾驶员的伤害严重性差异。

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