Department of Econometrics, RFA-IREA, University of Barcelona, Avda. Diagonal, 690, 08034 Barcelona, Spain.
Accid Anal Prev. 2010 Mar;42(2):709-17. doi: 10.1016/j.aap.2009.10.020. Epub 2009 Nov 22.
We analyse accidents with victims and calculate the influence of traffic violations on the probability of having a serious or fatal accident, compared to a slight accident. Traffic violations related to speed limitations, administrative infringements or faults related to the driver are considered. Data were obtained from all available reports on accidents with victims that occurred in Spain from 2003 to 2005. A multinomial logistic regression model is specified to find the probability that an accident with victims is slight, serious or fatal, given the presence/absence of thirty different types of traffic violations. The average cost per victim and the average number of victims per accident are then used to find the estimated cost of an accident with victims, given the information on the traffic violations incurred. This demonstrates which combinations of traffic violations lead to higher estimated average costs, compared to cases in which no traffic violation occurred. We conclude with some recommendations on the severity of penalties, and suggest that regulators penalize the occurrences of some specific combinations of traffic violations more rigorously.
我们分析了涉及受害者的事故,并计算了交通违法行为对严重或致命事故概率的影响,与轻微事故相比。考虑了与速度限制、行政违规或与驾驶员有关的故障相关的交通违法行为。数据来自 2003 年至 2005 年期间在西班牙发生的所有涉及受害者的事故报告。指定了多项逻辑回归模型,以发现给定三十种不同类型的交通违法行为的存在/不存在情况下,受害者事故轻微、严重或致命的概率。然后,使用每个受害者的平均成本和每个事故的平均受害者人数,根据所发生的交通违法行为的信息,计算出受害者事故的估计成本。这表明与未发生交通违法行为的情况相比,哪些交通违法行为的组合会导致更高的估计平均成本。最后,我们提出了一些关于处罚严厉程度的建议,并建议监管机构更严格地处罚某些特定的交通违法行为组合的发生。