PURPOSES : The purpose of this study is to establish design criteria for right-turning lanes by analyzing the relationship between the speed and geometry of right-turning lanes in urban areas. METHODS : A right-turn vehicle with a traffic island was surveyed for 32 geometries and 4,012 vehicles. Using multiple regression, we developed a running speed prediction model based on the running speed characteristics and geometry scale. RESULTS : According to the analysis of the running speed of the right-turning channel, the 85th speed was 34.5-38.3 km/h, depending on the right-turning lane radius, and 32.4-39.0 km/h, depending on the channel width group. Based on the multi-regression, the right-turning radius and the channel width variables were statistically significant because of the influencing factors of the road speed. Two independent variables were positive (+) coefficients. CONCLUSIONS : In this study, we investigated the running speed state on the right-turning channel and the factors that influenced the running speed. In addition, the relationship between the running speed and other factors was modeled through statistical analysis, and a running speed prediction model was established. It was observed that the driving speed increased as the geometry scale increased. Based on the derived running speed model, the maximum design criteria for limiting the speed of the conductive channelized right-turning lane in urban areas were established.