Exploring Generative AI in Planning: A Scenario-Building Simulation for the Master Plan of Bari, Italy

Camarda, Domenico and Patano, Mauro (2024) Exploring Generative AI in Planning: A Scenario-Building Simulation for the Master Plan of Bari, Italy. KEEP ON PLANNING FOR THE REAL WORLD. Climate Change calls for Nature-based Solutions and Smart Technologies. Proceedings of REAL CORP 2024, 29th International Conference on Urban Development, Regional Planning and Information Society. pp. 321-331. ISSN 2521-3938

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Abstract

When dealing urban and regional planning, communities seek methodological approaches to deliver effective development strategies. Building up future scenarios is nowadays understood as an approach that involves expert and non-expert agents towards the organization of alternative future strategies. The so-called future-workshop approach has been followed in much research and experimentation in the past, both in real communities and in simulated situations. The present research will develop further experimentation to explore some perspectives of involving artificial intelligence agents. For this purpose, a search engine equipped with OpenAI's ChatGPT will be used to simulate future scenarios for the master plan of Bari, Italy. The involvement of generative AI will basically take place following the model of a structured interview with different stakeholders. They will be simulated by artificial intelligence to define a multi-agent knowledge base towards the construction of future scenarios for the Bari master plan.

Item Type: Article
Uncontrolled Keywords: generative AI, simulation, scenario building, spatial planning, decision support
Subjects: H Social Sciences > HD Industries. Land use. Labor
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Depositing User: REAL CORP Administrator
Date Deposited: 28 Apr 2024 19:07
Last Modified: 10 May 2024 09:33
URI: http://repository.corp.at/id/eprint/1098

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