This dataset was developed as part of the research study “Bridge collapses in Italy across the 21st century: survey and statistical analysis.” The dataset has been updated and now documents 250 bridge collapse events that occurred in Italy between 20 0 0 and 2025. Each entry includes some general information and a proposed event classification. The former includes, the date and location of the collapse, geographi- cal coordinates (WGS84), administrative division, bridge use classification, number of fatalities and injuries. The clas- sification of each collapse is characterized by four major f ields: severity (Total Collapse or Partial Collapse), general cause (Natural or Human-induced), mechanism (Triggered or Not-Triggered), and specific cause (e.g. hydraulic phenomena, overloads, impacts, or material degradation). The dataset was developed through systematic searches of institutional archives, news media, and satellite imagery, complemented in some cases by in-situ visual inspections. It is structured in Excel format and supports spatiotempo- ral analysis, risk assessment, and resilience planning. It is intended for reuse in civil engineering, infrastructure asset management, disaster risk reduction, and policy development contexts where empirical evidence of bridge collapse is required.

Dataset of bridge collapses in italy spanning more than 25 years (2000–2025)

D'Angelo, Manuel;Giordano, Pier Francesco;Borlenghi, Paolo;Ballio, Francesco;Limongelli, Maria Pina
2026-01-01

Abstract

This dataset was developed as part of the research study “Bridge collapses in Italy across the 21st century: survey and statistical analysis.” The dataset has been updated and now documents 250 bridge collapse events that occurred in Italy between 20 0 0 and 2025. Each entry includes some general information and a proposed event classification. The former includes, the date and location of the collapse, geographi- cal coordinates (WGS84), administrative division, bridge use classification, number of fatalities and injuries. The clas- sification of each collapse is characterized by four major f ields: severity (Total Collapse or Partial Collapse), general cause (Natural or Human-induced), mechanism (Triggered or Not-Triggered), and specific cause (e.g. hydraulic phenomena, overloads, impacts, or material degradation). The dataset was developed through systematic searches of institutional archives, news media, and satellite imagery, complemented in some cases by in-situ visual inspections. It is structured in Excel format and supports spatiotempo- ral analysis, risk assessment, and resilience planning. It is intended for reuse in civil engineering, infrastructure asset management, disaster risk reduction, and policy development contexts where empirical evidence of bridge collapse is required.
2026
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1303749
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