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Benchmarking road safety: lessons to learn from a data envelopment analysis.

Elke Hermans1, Tom Brijs, Geert Wets

  • 1Hasselt University, Transportation Research Institute, Wetenschapspark 5 bus 6, Diepenbeek, Belgium. elke.hermans@uhasselt.be

Accident; Analysis and Prevention
|December 31, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a data envelopment analysis (DEA) model to evaluate road safety performance indicators (SPI) across 21 European countries. The model identifies strengths and weaknesses, offering actionable insights for policy improvements and setting benchmarks for better road safety outcomes.

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Area of Science:

  • Transportation Science
  • Public Health Policy
  • Econometrics

Background:

  • Road safety performance indicators (SPI) are crucial for evaluating and comparing national road safety systems.
  • Effective SPIs must be actionable, guiding policymakers on necessary interventions and priorities for efficient road safety improvement.
  • Current methods may lack the specificity to provide targeted policy recommendations.

Purpose of the Study:

  • To propose a computational model using data envelopment analysis (DEA) for assessing road safety performance.
  • To identify country-specific strengths and weaknesses in road safety systems.
  • To provide actionable targets and priorities for policy interventions to enhance road safety.

Main Methods:

  • Development of a data envelopment analysis (DEA) computational model.
  • Application of the DEA model to a dataset of 21 European countries.
  • Construction of country-specific best-practice models for performance evaluation.

Main Results:

  • Identification of specific road safety aspects (e.g., alcohol, speed, infrastructure) where countries excel or lag.
  • Quantification of performance gaps for each country.
  • Assignment of benchmark countries for countries with relatively poor performance.

Conclusions:

  • The DEA model offers a robust framework for evaluating road safety performance and identifying areas for improvement.
  • Country-specific policy recommendations can be derived from the model's outputs.
  • The approach facilitates efficient resource allocation and prioritization for enhancing national road safety levels.