Digital Twin-Assisted Urban Resilience: A Data-Driven Framework for Sustainable Regeneration in Paranoá, Brasilia

A data-driven framework leveraging Digital Twin Modeling (DTM) demonstrates potential for enhancing urban resilience and sustainable regeneration, particularly in informal settlements of the Global South. The Integrated Modification Methodology (IMM), developed by Politecnico di Milano, provides a systematic approach to transform DTM into an active tool for real-time analysis, scenario simulation, and design optimization. Focusing on Paranoá, Brasilia, this study integrates advanced spatial mapping with key performance indicators (KPIs) such as Green Space Diversity, Ecosystem Service Proximity, and Green Space Continuity to address developmental and environmental challenges. By utilizing a Geographic Information System (GIS) platform on 30 m by 30 m sampling grids, the research offers a systemic and practical approach for multi-dimensional digitalization of urban structure and performance, supporting adaptive and data-based planning processes.

Dong, T., & Tadi, M. (2025). Digital Twin-Assisted Urban Resilience: A Data-Driven Framework for Sustainable Regeneration in Paranoá, Brasilia. Urban Science, 9(9), 333. https://doi.org/10.3390/urbansci9090333