Emerging AI-driven planning platforms: towards sustainable urban transformations

Silvio Carta, Luigi Pintacuda, Patricia Caneles, D. Pisu

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The use of Artificial Intelligence (AI) is becoming increasingly relevant to model the behaviour of complex systems in the attempt to optimise them. New AI models to represent and study urban contexts are developed at a fast pace and with increasingly promising results. This study concentrates on the applications of such models, particularly in the development of experimental and commercial planning tools. We review some of the most recent platforms currently in development including Blocktype, REalyse UK Property Data, City Net zero Tool (CINT), Labit’s Turing and others where AI is implemented to improve the planning process. We analyse these tools from a theoretical and normative perspective, in the context of traditional planning frameworks, from a technical perspective as AI optimisation models for architecture and urban design, and from a user perspective to understand both residents and Local Authorities’ viewpoint. This study presents a detailed perspective on AI platforms that are currently in development and testing phase and will soon be widely adopted in the planning process. Cities will soon undergo an AI-enhanced process of transformation, with automated elements of the planning process. With this work we explore the extent to which such platforms can produce sustainable new urban configuration and the impact on urban communities.
Original languageEnglish
Title of host publicationRGS-IBG Annual International Conference 2023 - Proceedings
Subtitle of host publicationRoyal Geographical Society (with the Institute of British Geographers)
Publication statusPublished - 31 Aug 2023
EventRGS-IBG Annual International Conference 2023 - London, United Kingdom
Duration: 30 Aug 20231 Sept 2023


ConferenceRGS-IBG Annual International Conference 2023
Country/TerritoryUnited Kingdom
Internet address


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