PSI - Issue 78
Guerino Liberatore et al. / Procedia Structural Integrity 78 (2026) 1071–1078
1077
uses a computerized system to collect and manage inspection data, applying tailored procedures for different road elements (e.g., bridges, tunnels) while maintaining consistent evaluation criteria. The method automates the assessment process to ensure uniformity and reliability. Though primarily designed for routine inspections, VISIT - when properly calibrated - can support emergency operations and feed real-time data into a centralized dashboard showing road usability status.
Fig. 3. Framework of VISIT methodology.
The VISIT methodology defines specific inspection zones (“districts”) for each infrastructure asset (e.g., bridges, tunnels) and identifies “Significant Observational Evidences” (SOEs) to detect safety issues (see Fig.3). These SOEs are gathered using various tools, such as equipped vehicles, drones, or cameras. Identified safety deficiencies are classified based on their impact on user safety and management responsibilities. Each district receives a color-coded risk level through predefined algorithms, followed by an assessment of actual functionality. In emergencies, this information helps determine priority rescue routes. While fragility curves support the immediate predictive damage scenario integrated into the dashboard, the VISIT methodology provides ground-truth validation through standardized inspections, thus refining and confirming the initial model-based assessment. A GIS-based dashboard, integrated with VISIT and prepared in advance, displays real-time infrastructure status and seismic impacts. A simulation in Avezzano (Italy) showed improved emergency response times compared to traditional methods. 6. Future Perspectives and conclusions Expanding the model to secondary and municipal road networks is a strategic priority, considering that they represent approximately 80% of the national network. Integration with the National Public Works Information Archive (AINOP) may contribute to the creation of a shared, updatable, and interoperable database. In the medium term, the development of Digital Twins of infrastructure and connection with V2X vehicle systems may enable predictive risk scenarios, including in the context of assisted and autonomous driving. Furthermore, promoting specialized training for post-event management technicians will be essential. Effective road infrastructure management in seismic contexts requires a fundamental shift in paradigm. It is necessary to move from a reactive emergency approach to an integrated, proactive system based on objective data. The model presented here, centered on technical triage, the VISIT methodology, and the digital dashboard, offers a concrete proposal to enhance response effectiveness and public safety. The operational alliance between ANSFISA and the Civil Protection Department emerges as a key prerequisite for the widespread implementation of the system and for building real infrastructural resilience.
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