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Bus Driver Accident Record: The Return Of Accident Proneness

机译:巴士司机事故记录:事故倾向的归还

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摘要

One of the assumptions of the theory of accident proneness is that drivers' accident liability is stable over time, which was tested in the present paper. Previous investigations of this problem (or rather the conclusions) were found to be deficient because they did not take into account the statistical problem of low variance in the accident variable. However, by correlating the between time periods association coefficient and the mean number of accidents across several samples, this problem can be overcome. Therefore, the stability of accident record over time was investigated in five samples of British bus drivers. It was found that the size of the correlations between time periods increased with the increase in mean accident frequency. Furthermore, this increase could be described by a linear regression line, which fit the various points extremely well. Also, the size of correlations of 'at fault' accidents increased faster with the mean than did 'all accidents', although the latter had a higher initial value. It was therefore concluded, in contrast to previous authors, that the accident record of drivers is quite stable over time and that the very low correlations that have often been found were due to the samples and methods used (low-risk drivers and short time periods equalling low crash means) and not of any inherent instability in drivers' behaviour and/or accident record. It was also concluded that only culpable accidents should be used for this type of calculation. No evidence was found for a decrease in correlation size between single years' accidents when time periods between the years were lengthened, i.e. accidents in one year predicted accidents in several other years equally well. However, the period used was rather short. The results are discussed with reference to training intervention for accident-involved drivers, especially for organisations with major fleets, such as bus companies.
机译:事故倾向性理论的假设之一是驾驶员的事故责任随着时间的推移是稳定的,本文对此进行了检验。以前对该问题(或更确切地说是结论)的调查被发现是不充分的,因为它们没有考虑到事故变量方差低的统计问题。但是,通过关联多个样本之间的时间段关联系数和平均事故数,可以解决此问题。因此,在五个英国公交车驾驶员样本中调查了事故记录随时间的稳定性。发现时间段之间的相关性的大小随平均事故频率的增加而增加。此外,这种增加可以用线性回归线描述,该线性回归线非常适合各个点。同样,“处于故障状态”的事故的相关量的平均值比“所有事故”的平均值增加得更快,尽管后者的初始值更高。因此得出结论,与以前的作者相比,驾驶员的事故记录在一段时间内相当稳定,并且经常发现的相关性非常低,这是由于所使用的样本和方法(低风险驾驶员和较短的时间段)造成的。等于低碰撞率),并且不会在驾驶员的行为和/或事故记录中造成任何固有的不稳定。得出的结论是,此类计算仅应使用可判处的事故。当几年之间的时间间隔延长时,没有证据表明单年事故之间的相关性大小减小,即一年中的事故与其他几年中的事故同样好。但是,使用的时间很短。讨论结果时参考了对涉及事故的驾驶员的培训干预,尤其是对于拥有大型车队的组织,例如公交公司。

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