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首页> 外文期刊>Canadian Journal of Civil Engineering >Analysis of the impacts of risk factors on teenage and older driver injury severity using random-parameter ordered probit
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Analysis of the impacts of risk factors on teenage and older driver injury severity using random-parameter ordered probit

机译:使用随机参数有序探测对危险因素对少年和较旧驾驶员损伤严重性的影响分析

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摘要

The study analyzed injury severity of teenage and older drivers using 2015-2016 crash data from New Mexico. The fitness of the random-parameter ordered probit models developed for each age group was tested using likelihood ratio, comparing them to a unified model that combines both age groups, as well as comparing the random-parameter to fixed-parameter ordered probit for each age group. In both cases separate random-parameter ordered probit provided better results. It was found that vehicle type and age, lighting condition, alcohol or drug use, speeding, and seatbelt use were significant both for the teenage and older driver injury severity. The weather condition and gender were significant only in the teenage driver model, while driver inattention was significant for older drivers. The impacts of crash factors on injury severity was analyzed using marginal effects. The results indicate notable differences in the effects of contributing factors on driver injury severity between teenage and older drivers, including the sensitivity to changes in the mutual predictor parameter values.
机译:该研究利用新墨西哥州2015-2016年的车祸数据分析了青少年和老年司机的受伤严重程度。使用似然比测试为每个年龄组开发的随机参数有序概率模型的适用性,将其与结合两个年龄组的统一模型进行比较,并将随机参数与每个年龄组的固定参数有序概率进行比较。在这两种情况下,单独的随机参数有序probit提供了更好的结果。研究发现,车辆类型和年龄、照明条件、酒精或药物使用、超速和安全带使用对青少年和老年驾驶员受伤的严重程度都有显著影响。天气状况和性别仅在青少年驾驶员模型中显著,而驾驶员注意力不集中对老年驾驶员显著。使用边际效应分析碰撞因素对损伤严重程度的影响。结果表明,青少年驾驶员和老年驾驶员在驾驶员伤害严重程度的影响因素方面存在显著差异,包括对相互预测参数值变化的敏感性。

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