Page 44 - Citiverse Use Case Taxonomy Overview - Use Case Identification Track
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City Administration, Services and Public Participation
                                                                                                                                                                       Horizon
                                                                                                                                                                            1
             Urban Air Quality Monitoring




      Description                                                Example                                           Impacts                                      SDG Alignment
      Virtual world technologies such as digital twins           ​BINUS University, Jakarta is
      can be used to create a real-time, interactive             developing a Digital Twin to enhance                   Emission            Quality of
      map of urban air quality, integrating data from            air quality management. This initiative                reduction               Life
      IoT sensors across the city that measure                   integrates real-time data from air
      GHG emissions. City stakeholders such as                   quality sensors, meteorological data,
      environmental agencies, public health                      traffic patterns, and urban                          Environmental        Sustainable                Target 13.2, 13.3
      departments, and urban planners can use this               infrastructure into a 3D model of the                Conservation          Urbanism
      platform to monitor pollution hotspots, design             city. Utilizing MR, the twin allows city
      targeted interventions, simulate the impact of             officials and stakeholders to visualize
      policy changes, and engage with residents                  pollution patterns, identify hotspots,                Health and         Research and
      around air quality initiatives. AI could be                and simulate interventions for effective               wellbeing           Innovation
      leveraged to predict pollution trends, optimize            decision-making. The project aims to
      mitigation strategies, and improve long-term               provide a comprehensive                                                                                 Target 11.6
      public health outcomes for communities. GAI                understanding of urban air pollution,
      could be used to make the platform more                    facilitating collaborative strategies to         Risk Level
      interactive through querying the data in                   improve public health and
      natural language.                                          environmental conditions.                            Public safety                Low        Medium       High

                                                                                                                      Stakeholder acceptance       Low        Medium       High
      Key Technologies
                                                                                                                      Data privacy and security    Low        Medium       High
         Digital    Metaverse        AR           VR           MR           GAI           AI          IoT
          Twin                                                                                                        Financial/operational        Low        Medium       High




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