This study assesses the climatic vulnerability of Saskatchewan’s road network by examining how six climate-related factors—minimum and maximum temperature, rainfall, wind, snow, and flooding—affect infrastructure sustainability. Using Inverse Distance Weighting (IDW) interpolation and remote sensing, a composite risk index was developed with equal weighting for each factor. The resulting map classified road segments into five risk categories, revealing that approximately 3,800 km (14%) fall within high or very high-risk zones, mainly in southern and central regions. The spatial analysis highlights region-specific exposure and the influence of uniformly weighted variables on identifying vulnerable infrastructure. This framework offers a simplified, transparent approach to climate risk assessment, supporting spatial decision-making for infrastructure planning, asset management, and climate adaptation.