Effective bridge management requires structured methods that integrate infor-mation gained through visual inspections, non-destructive tests or monitoring sys-tems to prioritize maintenance activities on bridges at a territorial level. The Italianand Swiss authorities offer different perspectives on maintenance prioritization, withItaly emphasizing multi-level classification and flexible data integration for risk as-sessment, and Switzerland relying on condition assessment and a centralized BMSincluding damage predictive capabilities to determine maintenance policy, whileminimizing the long-term costs. Both approaches highlight the need for interopera-ble digital solutions to collect, analyse and process large amount of heterogeneousdata. In addition, recent federal regulations enforce the "open by default" principle,promoting transparency, participation, and innovation using open-source softwareto fulfil Public Authority tasks. Moving from these considerations, the study proposesa modular framework for bridge management that includes inventory and data man-agement, inspection workflows, risk analysis, predictive monitoring, GIS/BIM inte-gration, intervention planning, and regulatory compliance. By leveraging opensource and widely used tools, the framework improves data accessibility, interoper-ability, and decision-making efficiency. A comparative analysis with existing propri-etary solutions highlights large possibilities of improvement in terms of adaptabilityand integration, underscoring the need for a flexible, standardized digital approachto bridge infrastructure management.

Cross‐National Bridge Management Systems: A Geomatics Framework for Italian and Swiss Authorities

Gaspari, Federica;Briccola, Deborah;Fascia, Rebecca;Carrion, Daniela;Pinto, Livio
2025-01-01

Abstract

Effective bridge management requires structured methods that integrate infor-mation gained through visual inspections, non-destructive tests or monitoring sys-tems to prioritize maintenance activities on bridges at a territorial level. The Italianand Swiss authorities offer different perspectives on maintenance prioritization, withItaly emphasizing multi-level classification and flexible data integration for risk as-sessment, and Switzerland relying on condition assessment and a centralized BMSincluding damage predictive capabilities to determine maintenance policy, whileminimizing the long-term costs. Both approaches highlight the need for interopera-ble digital solutions to collect, analyse and process large amount of heterogeneousdata. In addition, recent federal regulations enforce the "open by default" principle,promoting transparency, participation, and innovation using open-source softwareto fulfil Public Authority tasks. Moving from these considerations, the study proposesa modular framework for bridge management that includes inventory and data man-agement, inspection workflows, risk analysis, predictive monitoring, GIS/BIM inte-gration, intervention planning, and regulatory compliance. By leveraging opensource and widely used tools, the framework improves data accessibility, interoper-ability, and decision-making efficiency. A comparative analysis with existing propri-etary solutions highlights large possibilities of improvement in terms of adaptabilityand integration, underscoring the need for a flexible, standardized digital approachto bridge infrastructure management.
2025
Bridge Management System, geospatial data integration, bridge inspection, assetmanagement, FOSS4G
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1311825
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact