This paper presents a methodology for the digital reconstruction and management of underground utility networks in urban environments through Building Information Modeling (BIM) integrated with UAV photogrammetry, laser scanning, and Ground Penetrating Radar (GPR). The novelty of this study lies in the structured workflow that combines international standards (ASCE/UESI/CI 38-22, PAS 128:2022) with cloud-based platforms to ensure interoperability, information quality, and traceability across the entire infrastructure lifecycle. Compared to previous studies, this work explicitly addresses uncertainty in data acquisition and demonstrates the integration of heterogeneous survey techniques within a federated BIM model. The case study at the University of Palermo validates the approach, showing improvements in accuracy, data governance, and collaborative decision-making. The contribution of this work is the establishment of a reproducible framework for Digital Twins in Smart Cities, enhancing urban planning, risk management, and sustainable infrastructure maintenance.
Inzerillo, L., Acuto, F., Pisciotta, A., Mantalovas, K., Di Mino, G. (2025). Reconstructing existing underground service networks through BIM methodology application: a case study. THE INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES, Volume XLVIII-4/W19-2025 [10.5194/isprs-archives-XLVIII-4-W19-2025-63-2026].
Reconstructing existing underground service networks through BIM methodology application: a case study
Laura Inzerillo;Francesco Acuto;Alessandro Pisciotta
;Konstantinos Mantalovas;Gaetano Di Mino
2025-11-13
Abstract
This paper presents a methodology for the digital reconstruction and management of underground utility networks in urban environments through Building Information Modeling (BIM) integrated with UAV photogrammetry, laser scanning, and Ground Penetrating Radar (GPR). The novelty of this study lies in the structured workflow that combines international standards (ASCE/UESI/CI 38-22, PAS 128:2022) with cloud-based platforms to ensure interoperability, information quality, and traceability across the entire infrastructure lifecycle. Compared to previous studies, this work explicitly addresses uncertainty in data acquisition and demonstrates the integration of heterogeneous survey techniques within a federated BIM model. The case study at the University of Palermo validates the approach, showing improvements in accuracy, data governance, and collaborative decision-making. The contribution of this work is the establishment of a reproducible framework for Digital Twins in Smart Cities, enhancing urban planning, risk management, and sustainable infrastructure maintenance.| File | Dimensione | Formato | |
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