Minimum Urban Units (MUUs): A Data-Driven Methodology for Adaptive and Climate-Responsive Urban Planning

Minimum Urban Units (MUUs) offer a promising approach for adaptive urban planning, facilitating sustainable city development and improving residents’ quality of life. Building upon the Local Climate Zone (LCZ) classification, MUUs delineate and characterise a city’s physical and environmental attributes, integrating land cover; building morphology; and social, population, mobility, and health data. By using a GIS-based platform and parametric processes, MUUs combine various data types to identify zones that require immediate attention for active intervention. This methodology expands the LCZ classification to introduce risk levels and the projected climate for the next mid-century, serving as a recipe for building climate-resilient cities. Preliminary analyses revealed MUUs’ effectiveness of MUUs in categorising urban zones and identifying areas prone to specific environmental stressors or socioeconomic challenges. The flexibility of MUUs allows the incorporation of climate change considerations, sustainable resource use, and community planning. Neural networks will be integrated to identify the complex relationships among environmental factors, socioeconomic indicators, and urban morphology, enabling the prediction of different urban planning scenarios. The MUU project’s achievements address data collection and microclimatic analysis challenges, confirming their potential as valuable tools for policymakers and urban planners. Further research and collaboration are needed to refine the open MUU framework, but preliminary findings suggest that MUUs offer a promising pathway towards more adaptive, sustainable, and resilient urban environments.