In this study, the correlation of evaluation items and safety rating for 104 of large-scale slopes along the general national road was analyzed. And, we proposed the regression model to predict the safety rating using the multiple regressions analysis. As the result, it is shown that the evaluation items of slope angle, rainfall and groundwater have a low correlation with safety rating. Also, the regression model suggested by multiple regression analysis shows high predictive value, and it would be possible to apply if the evaluation items of excavation condition and groundwater

In this study, the performance-based evaluation factors for rock slopes have been deducted using Delphimethod. Validity of the result was verified through factor analysis. Performance of rock slope is classified as soundness, stability and durability. Through the Delphi survey, 17 factors including discontinuity orientation are deducted for soundness, 4 factors and 3 factors are selected for stability and durability, respectively. Validation is conducted using Exploratory Factor Analysis (EFA) for 24 factors, and all factors are found to be valid. As a result of Exploratory Factor Analysis (EFA), 3-types of performance were subdivided into internal soundness, external soundness, risk, damage and durability of slopes and protection (reinforcement) facilities.