Data-driven approaches for assessing economic and financial viability in urban planning

The research focuses on the development of algorithms for analysis and economic evaluation, with a view to devising context-based urban design scenarios. The proposed tools are expected to adhere to principles of adaptation and mitigation in relation to the dynamics of urban development and the evolution of the relevant knowledge systems: property market, natural capital, socio-cultural assets. The study will also explore the potential use of artificial intelligence for the automation of evaluation processes in dynamic urban contexts.