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Luigi Pallante et al. / Procedia Structural Integrity 62 (2024) 268–275 Pallante L. et al../ Structural Integrity Procedia 00 (2019) 000 – 000

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6. References [1] Marzouk, M. M., & Hisham, M. (2012). Bridge information modeling in sustainable bridge management. In ICSDC 2011: In-tegrating Sustainability Practices in the Construction Industry (pp. 457-466). https://doi.org/10.1061/41204(426)57 [2] Li, S., Zhang, Z., Lin, D., Zhang, T., & Han, L. (2023). Development of a BIM-based bridge maintenance system (BMS) for managing defect data. Scientific Reports, 13(1), 846. https://doi.org/10.1038/s41598-023-27924-6 [3] DM n° 430 08/10/2019 “Realizzazione dell'archivio informatico nazionale delle opere pubbliche AINOP”. Available online: https://www.mit.gov.it/normativa/decreto-ministeriale-numero-430-del-08102019 (accessed on 19th October 2023). In italian. [4] DM n° 204 01/07/2022 “Linee guida per la classificazione e gestione del rischio, la valutazione della sicurezza ed il monitoraggio dei ponti esistenti”. Available online: https://www.mit.gov.it/normativa/decreto-ministeriale- numero-204-del-1-luglio-2022 (accessed on 19th October 2023). In italian. [5] ANSFISA “Adozione delle Linee Guida per la classificazione e gestione del rischio, la valutazione della sicurezza ed il monitoraggio dei ponti esistenti ai sensi dei commi 1 e 2 de ll’articolo 14 del decreto legge 28 settembre 2018, n.109, come da ultimo modificato dall'articolo 49, comma 4, del decreto legge 16 luglio 2020, n. 76, convertito, con modificazioni, dalla legge 11 settembre 2020, n. 120”. Available online: https://www.mit.gov.it/normativa/decreto-ministeriale-numero-204-del-1-luglio-2022 (accessed on 19th October 2023). In italian. [6] Zhou, Y., Bao, T., Shu, X., Li, Y., & Li, Y. (2023). BIM and ontology-based knowledge management for dam safety monitoring. Automation in Construction, 145, 104649. https://doi.org/10.1016/j.autcon.2022.104649 [7] Lee, G., Chang, T., Chi, S. (2024). Data-Driven Bridge Maintenance Cost Estimation Framework for Annual Expenditure Planning. Journal of Management in Engineering, Vol. 40, Issue 21. DOI 10.1061/JMENEA.MEENG- 5706 [8] Bradley, A., Li, H., Lark, R., & Dunn, S. (2016). BIM for infrastructure: An overall review and constructor perspective. Automation in construction, 71, 139-152. https://doi.org/10.1016/j.autcon.2016.08.019 [9] Costin, A., Adibfar, A., Hu, H., & Chen, S. S. (2018). Building Information Modeling (BIM) for transportation infrastructure – Literature review, applications, challenges, and recommendations. Automation in construction, 94, 257-281. https://doi.org/10.1016/j.autcon.2018.07.001 [10] Jeon, C. H., Nguyen, D. C., Roh, G., & Shim, C. S. (2023). Development of BIM-Based Bridge Maintenance System for Existing Bridges. Buildings, 13(9), 2332. https://doi.org/10.3390/buildings13092332 [11] Zhu, J., Wright, G., Wang, J., & Wang, X. (2018). A critical review of the integration of geographic information system and building information modelling at the data level. ISPRS International Journal of Geo- Information, 7(2), 66. https://doi.org/10.3390/ijgi7020066 [12] G. Quinci, V. Gagliardi, L. Pallante, D. R. J. Manalo, A. Napolitano, L. Bertolini, L. Bianchini Ciampoli, P. Meriggi, F. D'Amico, and F. Paolacci "A novel bridge monitoring system implementing ground-based, structural and remote sensing information into a GIS-based catalogue", Proc. SPIE 12268, Earth Resources and Environmental Remote Sensing/GIS Applications XIII, 122680H (26 October 2022); https://doi.org/10.1117/12.2637913 [13] Fabrizio Paolacci, Gianluca Quinci, Pietro Meriggi, Luigi Pallante, Gianmarco de Felice, A regional model for classifying, managing, evaluating, and monitoring the seismic safety of bridge structures: the MLAZIO project, Procedia Structural Integrity, Volume 44, 2023, Pages 697-704, https://doi.org/10.1016/j.prostr.2023.01.091.

Acknowledgments : The authors acknowledge Regione Lazio and ASTRAL Spa for the support and the provision of the data to create the database and the GIS-based catalogue. All the other members of the MLAZIO research group are acknowledged.