Page 87 - Citiverse Use Case Taxonomy Overview - Use Case Identification Track
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Conclusions





               Key Takeaways





              • The Citiverse enables cities to create immersive, digital representations of urban environments-bridging the physical and

                virtual through technologies like the metaverse digital twins, AR/VR, AI, and IoT. AI and GAI has a critical role to play within the

                Citiverse as an enabler and accelerator. AI is increasingly serving as a foundational technology that drives innovation, enhances user
                experiences, and supports the creation of interactive and immersive virtual environments. As Agentic AI capabilities emerge, their impact

                on virtual world technologies and use cases should also be explored.
              • Citiverse use cases span 5 core thematic areas: Urban Planning & Infrastructure, City Administration & Public Participation,

                Economic Development & Tourism, Transport & Mobility, and Public Safety, Health & Disaster Resilience. Each area leverages virtual
                worlds to address unique challenges, from climate adaptation and circular economy to citizen engagement and emergency

                management.

              • The Citiverse use cases mapped in the Taxonomy can contribute to the achievement of a broad range of SDGs, namely SDG1,
                SDG3, SDG4, SDG8, SDG9, SDG10, SDG11, SDG12, SDG13, SDG16, SDG17.

              • The Citiverse’s success depends on open standards, interoperability, robust governance, and security. Collaborative, multi-
                stakeholder approaches ensure the platform remains inclusive, resilient, and adaptable to evolving urban needs.

              • Cities must balance risk and opportunities when adopting Citiverse use cases. A systematic risk taxonomy-covering public safety,
                stakeholder acceptance, data privacy/security, and financial/operational risk-enables cities to prioritize use cases that balance innovation

                with manageable risk. This approach supports informed decision-making, ensuring that high-impact, scalable solutions are prioritized for

                early adoption, while more experimental or higher-risk concepts are piloted or explored further before city-wide rollout.

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