Road Safety Research Highlights Importance of Pedestrian Facilities and Traffic Volumes

Strategic Insights -

A recent study by researchers from Seoul National University has shed light on the critical factors that contribute to traffic safety. The investigation, which was supported by the Korea Road Assessment Program, aimed to understand the relationship between road design, traffic conditions, and safety. The study analyzed data from a 68 km segment of a national highway in Korea, incorporating 78 road attributes and traffic data from the View-T platform and crash data from the Traffic Accident Analysis Systems.

Key Takeaways:

  • The study found that pedestrian and roadside facilities are more critical than geometric attributes in determining the number of crashes.
  • Principal component analysis (PCA) identified three principal components: pedestrian and roadside facilities (PC1), crosssections and intersections (PC2), and road surfaces and curvatures (PC3).
  • Piecewise structural equation modeling confirmed that PC1 has a direct effect on the number of crashes.
  • The investigation also revealed that the aspects of speed and volume have indirect effects on the likelihood of a crash.
  • The study highlights the importance of designing roads with pedestrian safety in mind, particularly in areas with high traffic volumes.
  • The findings suggest that addressing road design elements such as pedestrian facilities and traffic volumes can significantly reduce the likelihood of accidents.

Statistics:

  • 78 road attributes pertaining to road design features were analyzed in the study.
  • The investigation focused on a 68 km segment of a national highway in Korea.
  • Data was sourced from the View-T platform (traffic data) and the Traffic Accident Analysis Systems (crash data).
  • Principal component analysis (PCA) identified three principal components: PC1 (pedestrian and roadside facilities), PC2 (crosssections and intersections), and PC3 (road surfaces and curvatures).
  • Piecewise structural equation modeling confirmed that PC1 has a direct effect on the number of crashes.

Sources:

  • Direct and Indirect Effects of Road Attributes On Traffic Safety (Journal of Safety Research, 2025; 93: 156-169).
  • Korea Road Assessment Program (funding source).
  • View-T platform (traffic data source).
  • Traffic Accident Analysis Systems (crash data source).