TWINVERSE OA3 Evidence Collection: AI and Digital Twin Solutions for Urban Planning and Management

The TWINVERSE OA3 Evidence Collection brings together structured information on AI-based and other digital solutions relevant to urban planning and management, climate neutrality, and Digital Twin interoperability. The collection includes an inventory of 43 tools and solutions, alongside 182 selected primary research studies and 20 review papers, covering seven urban research domains and cross-domain applications. The scientific evidence was gathered through structured literature searches in Scopus and Web of Science, complemented by additional relevant publications and contributions from TWINVERSE partners. The records provide information on application areas, analytical methods, data requirements, outputs, validation approaches, and reported limitations, where available. The repository includes the structured datasets in CSV format, documented connections between tools and scientific publications, and the HTML version of the OA3 Evidence Explorer. The collection supports the discovery, comparison, and exploration of existing solutions and research evidence, helping researchers, urban planners, municipalities, and technology developers identify relevant approaches for urban planning and management. Explore the interactive OA3 Evidence Explorer: https://oa3.twinverse-project.eu/ TWINVERSE project website: https://www.twinverse-project.eu/