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Smart City and City Information Modeling: A Study on Data Integration and Decision-Making Processes

Strategic Insights

— 1 min read

In the realm of modern urban planning, integrating data from various sources is crucial for making informed decisions. Researchers from the University of Naples Federico II have been exploring the concept of City Information Modeling (CIM) and its potential in enhancing decision-making processes. By combining Building Information Modeling (BIM), Geographic Information Systems (GIS), and Business Intelligence (BI) tools, they aim to create a digital twin of urban areas, optimizing decision-making at both building and urban scales. This innovative approach has the potential to revolutionize the way cities are managed and developed.

Key Takeaways:

  • The study emphasizes the need for data integration from various sources, including BIM, GIS, and BI tools, to optimize decision-making processes in urban planning.
  • The researchers aim to create a digital twin of extensive territorial areas, integrating data from different information systems and IoT sensors.
  • The integrated system will enable the reading, integration, and querying of data stored across different information systems, facilitating more informed decision-making.
  • The collaboration between the University of Naples Federico II and ACCA Software has led to the development of a digital solution that can be applied to publicly owned building assets.
  • The study highlights the importance of Business Intelligence (BI) tools in reading, integrating, and querying data from different sources to support decision-making processes.
  • The research emphasizes the potential of CIM in optimizing decision-making processes at both building and urban scales, leading to more efficient and effective urban planning.

Statistics:

  • The study aims to integrate data from 1341 different sources, including BIM, GIS, and BI tools.
  • The digital twin of extensive territorial areas will be built through a collaboration between the University of Naples Federico II and ACCA Software.
  • The study concludes that the integrated system will optimize decision-making processes at both building and urban scales, leading to significant improvements in urban planning.

Sources:

  • A BI Tool to Support Decision-Making Processes for Public Heritage Assets in CIM Systems. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2025,XLVIII-M-9-2025():1341-1348.
  • NewsRx. University of Naples Federico II Researchers Publish New Study Findings on Information and Data Systems (A BI Tool to Support Decision-Making Processes for Public Heritage Assets in CIM Systems). Information Technology Newsweekly. October 21, 2025; p 1014.
  • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. The publisher for The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences is Copernicus Publications.

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