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Road safety performance across local governments: a data envelopment analysis approach
Justin S Chang1, Sangjin Han2, Sihwan Jo1
1Department of Environmental Planning, Seoul National University, Seoul, Republic of Korea.
International Journal of Injury Control and Safety Promotion
|August 20, 2020
Summary
Local governments in Korea underinvest in road safety. Data envelopment analysis reveals inefficiencies, providing benchmarks for municipalities to improve road safety performance and reduce crashes and fatalities.
Area of Science:
- Public Health
- Transportation Engineering
- Urban Planning
Background:
- Road safety performance is inconsistent across local municipalities due to varied inputs and outputs.
- Benchmarking between local governments is crucial for identifying best practices to enhance road safety.
- Existing road safety strategies lack standardized performance metrics for effective comparison.
Purpose of the Study:
- To conduct a benchmark analysis of road safety performance among Korean local municipalities.
- To identify areas of underinvestment and inefficiency in road safety management.
- To provide data-driven insights for improving road safety strategies at the local level.
Main Methods:
- Utilized Data Envelopment Analysis (DEA), specifically an input-oriented variable returns to scale model.
- Defined outputs as the number of crashes and fatalities.
- Indexed inputs included institutional management and governmental interventions, emphasizing data standardization and controllability.
Main Results:
- Overall efficiency scores indicate underinvestment in road safety across Korea.
- Efficiency scores and benchmarks were determined for each municipality.
- Sensitivity analysis confirmed the robustness and stability of the efficiency scores.
Conclusions:
- Significant underinvestment in road safety necessitates strategic reallocation of resources.
- DEA provides a robust framework for evaluating and improving municipal road safety performance.
- Future research should incorporate environmental variables and dynamic analysis for a comprehensive understanding.
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