The document summarizes a study on developing a Summer Heat Risk Index (SHRI) that integrates climate data, population data, and land consumption data to assess heat-related hazard risk for vulnerable populations. The study uses open data sources and open-source tools to perform spatial risk assessments of summer heat risk in Italy at various scales, from the national level down to the city of Parma. The results show higher heat risk in urban areas with greater population density and land consumption. The SHRI methodology provides a reproducible approach to mapping heat vulnerability that can inform urban planning and climate adaptation strategies.