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The impacts of speed cameras on road accidents: an application of propensity score matching methods

机译:高速摄像机对道路交通事故的影响:倾向得分匹配方法的应用

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This paper aims to evaluate the impacts of speed limit enforcement cameras on reducing roadaccidents in the UK. The propensity score matching (PSM) method is employed to control forselection bias and selecting proper reference groups. A naïve before and after approach and theempirical Bayes (EB) method are compared with the PSM method. We observe 771 sites and 4787sites for the treatment and the potential reference groups respectively for a period of 9 years. Both thePSM and the EB methods show similar results that there are significant reductions in accidentsnumber at all severities at speed camera sites. It is suggested that the propensity score can be used asthe criteria for selecting the reference group in before-after control studies.
机译:本文旨在评估限速执法摄像机对减少道路的影响 英国发生事故。倾向得分匹配(PSM)方法用于控制 选择偏见和选择适当的参考群体。幼稚的前后方法和 将经验贝叶斯(EB)方法与PSM方法进行了比较。我们观察到771个站点和4787个站点 治疗地点和潜在的参考人群分别为期9年。这俩 PSM和EB方法显示出相似的结果,大大减少了事故 高速摄影机站点上所有严重级别的数字。建议可以将倾向得分用作 对照研究前后选择参考组的标准。

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