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Ottimizzazione delle Città Intelligenti: L'Utilizzo dei Gemelli Digitali e dell'Intelligenza Artificiale nei Processi Decisionali Urbani

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  • Paolo Nesi,
  • Chiara Garau,
  • Paola Zamperlin
DOI: https://doi.org/10.36253/contest-16061

Published 2025-10-15

How to Cite

Nesi, P., Garau, C., & Zamperlin, P. (2025). Ottimizzazione delle Città Intelligenti: L’Utilizzo dei Gemelli Digitali e dell’Intelligenza Artificiale nei Processi Decisionali Urbani. Contesti. Città, Territori, Progetti. https://doi.org/10.36253/contest-16061

Copyright (c) 2025 Paolo Nesi, Chiara Garau, Paola Zamperlin

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

The article explores the use of artificial intelligence (AI) in “Digital Twin” models to facilitate urban decision-making processes. The authors examine the potential of digital twins, which are virtual replicas of physical systems, to optimise the planning and management of smart cities. AI, when integrated into digital twins, allows managing complex functions such as traffic, energy consumption and social behaviours to be simulated and monitored in real-time, so establishing a basis for more informed and timely decisions. The digital twin concept was originally applied to industrial manufacturing and has expanded to urban design. An effective digital twin must accurately represent physical reality and related processes, incorporating up-to-date data and using advanced AI models for predictions and simulations. This approach allows for more efficient and resilient urban management, improving responsiveness to unexpected events and facilitating long-term strategic planning. The Snap4City platform is presented as an example of implementing digital twins for smart cities. It integrates data from different sources, supports real-time analysis and visualisation, and enables AI-based operational and strategic management. Snap4City demonstrates significant benefits for public administrations, improving the efficiency of urban services and promoting sustainability and the well-being of citizens.

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References

  1. Adreani L., Bellini P., Fanfani M., Nesi P., Pantaleo G. 2024, Smart City Digital Twin Framework for Real-Time Multi-Data Integration and Wide Public Distribution, «IEEE Access», pp. 1-27, ISSN: 2169-3536, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2024.3406795
  2. Barresi, A. 2023, Urban Digital Twin and urban planning for sustainable cities. TECHNE-Journal of Technology for Architecture and Environment, (25), 78-83.
  3. Batty M. 2018, Digital twins, «Environment and Planning B: Urban Analytics and City Science» Vol. 45, pp. 817-993, https://doi.org/10.1177/2399808318796416
  4. Batty M. 2024b, The Computable City, Histories, Technologies, Stories, Predictions, MIT Press.
  5. Batty M. 2024a, Digital twins in city planning, «Nature Computational Science», Vol. 4, pp. 192-199. https://doi.org/10.1038/s43588-024-00606-7
  6. Bibri S. E., Krogstie J., Kaboli A., & Alahi A. 2024, Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review, «Environmental Science and Ecotechnology», 19, 100330.
  7. Bellini P., Fanfani M., Nesi P., Pantaleo G. 2024, Snap4City Dashboard Manager: a tool for creating and distributing complex and interactive dashboards with no or low coding, «SoftwareX», Elsevier, https://doi.org/10.1016/j.softx.2024.101729
  8. Bettencourt L. 2021, Introduction to Urban Science, MIT Press.
  9. Boccardo, P., La Riccia, L., & Yadav, Y. 2024, Urban echoes: exploring the dynamic realities of cities through digital twins. Land, 13(5), 635.
  10. Chen C. W. 2023, Can smart cities bring happiness to promote sustainable development? Contexts and clues of subjective well-being and urban livability, «Developments in the Built Environment», Vol. 13, p. 100108.
  11. Collini E., Palesi L.A.I., Nesi P., Pantaleo G., Zhao W. 2024, Flexible thermal camera solution for Smart city people detection and counting, «Multimedia Tools and Applications» 83 (7), pp. 20457-20485.
  12. Collini E., Palesi L.A.I., Nesi P., Pantaleo G., Nocentini N., Rosi A. 2022, Predicting and understanding landslide events with explainable AI, «IEEE Access 10, pp. 31175-31189
  13. Ferré-Bigorra, J., Casals, M., & Gangolells, M. 2022, The adoption of urban digital twins, «Cities», 131, 103905.
  14. Fistola, R., Zingariello, I. (2024). Beyond the Smart City. The Urban Digital Twin for the Augmented City: The Vox Hortus Project. In: Marucci, A., Zullo, F., Fiorini, L., Saganeiti, L. (eds) Innovation in Urban and Regional Planning. INPUT 2023. Lecture Notes in Civil Engineering, vol 467. Springer, Cham.
  15. Garau C., Annunziata A., Desogus G., Rossetti S. 2023, Spatial Smartness and (In) Justice in Urban Contexts? The Case Studies of Cagliari and Parma, Italy. In the International Conference on Innovation in Urban and Regional Planning (pp. 484-495). Cham: Springer Nature Switzerland.
  16. Garau C., Nesi P., Paoli I., Paolucci M., Zamperlin P. 2020, A big data platform for smart and sustainable cities: environmental monitoring case studies in Europe. In the International Conference on Computational Science and Its Applications (pp. 393-406). Cham: Springer International Publishing.
  17. Grieves M. 2014, Digital Twin: manufacturing excellence through virtual factory replication: A whitepaper.
  18. Grieves M., Vickers J. 2017, Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems, in Kahlen J., Flumerfelt S., Alves A. (eds.) Transdisciplinary Perspectives on Complex Systems, Springer, Cham. https://doi.org/10.1007/978-3-319-38756-7_4
  19. Lei B., Stouffs R., Biljecki F. 2023, Assessing and benchmarking 3D city models, «International Journal of Geographical Information Science» 37, 788-809.
  20. Manfreda A., Mijač T. 2024, Smart City as a Mix of Technology, Sustainability and Well-Being: A Myth or Reality? in Sharma S.K., Dwivedi Y.K., Metri B., Lal B., Elbanna A. (eds.) Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. TDIT 2023. IFIP Advances in Information and Communication Technology, vol 699. Springer, Cham. https://doi.org/10.1007/978-3-031-50204-0_5
  21. Pappalardo L., Manley E., Sekara V. Alessandretti L. 2023, Future directions in human mobility science, «Nature Computational Science» 3, pp. 588-600.
  22. Peldo, D., Banihashemi, S., LeNguyen, K., & Derrible, S. 2024. Navigating Urban Complexity: The Transformative Role of Digital Twins in Smart City Development. Sustainable Cities and Society, 105583.
  23. Zhao F., Fashola O. I., Olarewaju, T. I., Onwumere I. 2021, Smart city research: A holistic and state-of-the-art literature review, «Cities», 119, p. 103406.
  24. Wefering F., et al. 2019, Guidelines. Developing and implementing a sustainable urban mobility plan. Rupprecht Consult (editor), Second Edition.

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