Abstract
Identifying hazardous locations on highways is a fundamental step in safety improvement programs and projects since it provides decision makers with a basis for allocating budgets and other resources in a cost-effective manner. Extensive research has been conducted to identify such locations. However, most studies have ignored the spatial characteristics of crash occurrences and the relative signiffcance of injury severity. In this study, we develop a procedure for identifying hazardous locations on expressways based on Geographically Weighted Regression (GWR) and Equivalent Property Damage Only (EPDO). GWR is a spatial regression method that can reect spatial dependency and heterogeneous relationships between crash occurrences and other explanatory variables. EPDO is a comprehensive measure of crash occurrences weighted by the level of injury severity. We apply this procedure to a case study in Gyeongbu Expressway in Korea. The ffndings from our case study show that the procedure can identify hazardous locations on roadways while reecting crash frequency and injury severity simultaneously with the comprehensive measure.
| Original language | English |
|---|---|
| Pages (from-to) | 1594-1603 |
| Number of pages | 10 |
| Journal | Scientia Iranica |
| Volume | 22 |
| Issue number | 4 |
| State | Published - 2015 |
Keywords
- Geographic information system
- Geographically weighted regression
- Hazardous locations
- Kernel density estimation
- Spatial interaction