AI-Driven Urbanism
Morphological Optimization / City Fabrics
Keshava Narayan, Digital Urbanism Lab
Our scope focuses on the application of generative AI models to Lisbon’s historic and modern urban clusters. We are identifying optimal sites for residential intensification while preserving the city’s unique architectural heritage and social fabric.
The primary challenge is the preservation of Lisbon’s delicate historic topography while introducing modern infrastructure needs. We are using AI to model sunlight, air-flow, and social interaction patterns to ensure that new developments enhance the city’s quality of life.
We developed a “Digital Twin” of the research area that allows for real-time scenario testing using AI agents. This innovation enables planners to visualize the long-term impacts of urban policies on city connectivity and resident well-being.
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