Benchmarking road safety: Lessons to learn from a data envelopment analysis

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• 作者：Elke Hermans ; Tom Brijs ; Geert Wets ; Koen Vanhoof
• 关键词：Road safety ; Performance indicator ; Data envelopment analysis ; Benchmark ; Target setting ; Priorities
• 刊名：Accident Analysis and Prevention
• 出版年：2009
• 出版时间：January 2009
• 年：2009
• 卷：41
• 期：1
• 页码：174-182
• 全文大小：793 K

文摘

Road safety performance indicators (SPI) have recently been proposed as a useful instrument in comparing countries on the performance of different risk aspects of their road safety system. In this respect, SPIs should be actionable, i.e. they should provide clear directions for policymakers about what action is needed and which priorities should be set in order to improve a country’s road safety level in the most efficient way. This paper aims at contributing to this issue by proposing a computational model based on data envelopment analysis (DEA). Based on the model output, the good and bad aspects of road safety are identified for each country. Moreover, targets and priorities for policy actions can be set. As our data set contains 21 European countries for which a separate, best possible model is constructed, a number of country-specific policy actions can be recommended. Conclusions are drawn regarding the following performance indicators: alcohol and drugs, speed, protective systems, vehicle, infrastructure and trauma management. For each country that performs relatively poor, a particular country will be assigned as a useful benchmark.