title: Benchmarking road safety: lessons to learn from a data envelopment analysis.
abstract: 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.
authors.affiliation: Hasselt University, Transportation Research Institute, Wetenschapspark 5 bus 6, Diepenbeek, Belgium. elke.hermans@uhasselt.be
authors.forename: Elke
authors.initials: E
authors.lastname: Hermans
authors.forename: Tom
authors.initials: T
authors.lastname: Brijs
authors.forename: Geert
authors.initials: G
authors.lastname: Wets
authors.forename: Koen
authors.initials: K
authors.lastname: Vanhoof
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control / Q000706:statistics & numerical data*; D001334:Automobile Driving / Q000592:standards / Q000706:statistics & numerical data; D001530:Belgium; D019985:Benchmarking / Q000592:standards / Q000706:statistics & numerical data; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D012449:Safety / Q000592:standards / Q000706:statistics & numerical data