Institute of Transport Economics, Gaustadalléen 21, NO-0349 Oslo, Norway.
Accid Anal Prev. 2010 Jan;42(1):245-60. doi: 10.1016/j.aap.2009.08.002. Epub 2009 Aug 20.
This paper examines the stability of long-term trends in the number of traffic fatalities in eight highly motorised countries: Norway, Sweden, Denmark, Finland, The Netherlands, Great Britain, Australia and The United States. In all these countries, the number of traffic fatalities reached a peak around 1970-1972 and has since declined. The decline has, however, been irregular and fairly long periods of stagnation or even increase in the number of fatalities have occurred in all countries. A stable trend is defined in this paper as a trend that remains unchanged and therefore can be used to successfully predict the future number of fatalities by means of extrapolation. It is concluded that the trends towards fewer fatalities in the countries selected have not been stable and that even trend lines that fit past trends very closely are usually worthless for predictive purposes. An attempt was made to identify factors influencing long-term trends by fitting negative binomial regression models to fatality data. Although some of the models fitted the data marginally better than simple trend lines, these models are not necessarily more useful for predicting future trends than simple trend lines, since using the models for prediction requires that future changes in all explanatory variables must be predicted. The chief lesson is that past trends do not provide a reliable basis for predicting future developments with respect to the number of traffic fatalities.
本文考察了八个高机动化国家(挪威、瑞典、丹麦、芬兰、荷兰、英国、澳大利亚和美国)的交通事故死亡人数长期趋势的稳定性。在所有这些国家,交通事故死亡人数在 1970-1972 年左右达到顶峰,此后一直在下降。然而,下降趋势不规则,所有国家都出现了相当长的停滞甚至死亡人数增加的时期。本文将稳定趋势定义为保持不变的趋势,因此可以通过外推法成功预测未来的死亡人数。结论是,所选国家交通事故死亡人数呈下降趋势并不稳定,即使非常接近过去趋势的趋势线,对于预测目的通常也没有价值。通过对死亡数据拟合负二项回归模型,尝试确定影响长期趋势的因素。尽管一些模型比简单趋势线稍微更好地拟合数据,但这些模型并不一定比简单趋势线更有助于预测未来趋势,因为使用模型进行预测需要预测所有解释变量的未来变化。主要教训是,过去的趋势不能为预测未来交通事故死亡人数的发展提供可靠的依据。