Urban roads in developing countries often experience diverse traffic conditions and lax regulatory frameworks, leading to significant side friction activities that impact road capacity and operational speeds. Managing these elements is crucial for optimizing transportation systems. This study focuses on mixed traffic conditions, where side friction components are exceptionally high and often interact with one another. The primary aim is to develop a methodology for quantifying the impact of multiple friction elements into a single metric, termed the Side Friction Score (SFS). The relative importance of each friction variable is determined by assigning weights to them. Two techniques, namely the multiple regression method and relative weight analysis, were used to obtain the relative weight factors. Additionally, the study investigates the sensitivity of speed reduction to SFS levels at different traffic volumes.