Developing a web-based platform to visualize and assess the achievement of multiple SDG targets at the neighbourhood scale through georeferenced indicators.

The global imperative for sustainable development, encapsulated by the United Nations 2030 Agenda and its 17 Sustainable Development Goals (SDGs), highlights an urgent need for effective local action. Cities, recognized as central to both generating and resolving global challenges, are critical to achieving these goals; however, translating broad global objectives into actionable local strategies remains a significant hurdle. Top-down approaches frequently overlook the nuanced spatial dynamics and socio-economic disparities at the micro-level, emphasizing the need for granular monitoring. This master's thesis addresses this gap by focusing on the neighbourhood scale as a strategic middle ground—intimate enough to engage citizens and reflect local contexts, yet substantial enough to inform wider urban strategies and foster participatory planning. This research introduces the development of a web-based dashboard prototype specifically designed for visualizing and assessing SDG indicators at the neighbourhood level, using Turin, Italy, as a case study in the Regio Parco district. The methodology integrates a robust, multidisciplinary GIS-based framework and a participatory, multi-criteria approach for indicator selection. Leveraging ArcGIS Pro and QGIS, the prototype systematically processes and integrates diverse georeferenced data to calculate nine key indicators spanning accessibility to basic services, green areas, and public transport, alongside per capita energy consumption, waste production, air quality, green quality, and tree cover for microclimate management. A core contribution is its demand-centric evaluation methodology, which shifts the analytical focus from merely counting services to assessing how effectively each "Metabolic Unit" (defined by aggregated census sections) is served, thereby providing more accurate and contextually relevant insights into neighbourhood conditions. The dashboard prototype significantly advances urban planning by translating abstract global goals into practical, locally tailored strategies, supporting evidence-based decision-making and transparent governance. Its user-centered design and interactive visualizations facilitate participative processes, fostering broader stakeholder engagement and collaborative planning essential for resilient urban transformations. The flexible methodological framework enhances its adaptability and replicability across diverse urban settings, enabling comparative analysis and benchmarking. Future research should prioritize the integration of real-time data, optimization of planning processes for inclusive accessibility, addressing data limitations and methodological inconsistencies, standardization of neighbourhood definitions, and enhanced participatory governance to strengthen local ownership and bridge policy-community divides. This prototype lays a foundational step towards more nuanced, data-driven, and inclusive urban planning for truly sustainable and equitable cities.