Skip to main Communities My dashboard Log in Sign up A Quantitative Risk Assessment for fragmental rockfall Part of EU Open Research Repository Published April 13, 2026 | Version v1 Other Open Policy Brief: Fragmentation-Aware QRA for Road & Transport Infrastructure Authors/Creators Marchelli, Maddalena (Researcher) 1 Show affiliations 1. Politecnico di Torino Contributors Researcher: Marchelli, Maddalena 1 Show affiliations 1. Politecnico di Torino Description Traditional rockfall risk assessments for transport infrastructure have historically relied upon deterministic evaluations, typically focusing on a single "worst-case" or "most-probable" block size. In the modern context of complex mountain lifelines, this approach is fundamentally flawed and no longer sufficient. Relying on a solitary design block fails to account for the physical reality that a rock face produces a continuum of possible release volumes, each with distinct frequencies and propagation behaviours. As a matter of policy and professional liability, infrastructure managers must transition to a modern, multi-scenario probabilistic framework. Within this framework, risk is not defined by a solitary event but is viewed as an "expectation over all scenarios." By integrating across all plausible magnitudes and intensities, Public Administrations can eliminate the dangerous complacency of the deterministic approach. Failure to adopt this time-integrated formulation risks not only the misallocation of limited public funds but also significant legal exposure should a non-modelled scenario result in loss of life. In this Policy Brief strategies to quantify and manage rockfall risk on road and transport infrastructure are proposed. Files PB1_Fragmentation_Aware_Infrastructure_QRA.pdf Files (2.0 MB) Name Size Download all PB1_Fragmentation_Aware_Infrastructure_QRA.pdf md5:dce6540901ce68136198d03b7fa67b38 2.0 MB Preview Download Additional details Funding European Commission RIDETHERISK - A Quantitative Risk Assessment for fragmental rockfall 101103401 Dates Available 2026-04-13 28 Views 17 Downloads Show more details All versions This version Views Total views 28 28 Downloads Total downloads 17 17 Data volume Total data volume 39.5 MB 39.5 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19555612 Markdown [](https://doi.org/10.5281/zenodo.19555612) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19555612.svg :target: https://doi.org/10.5281/zenodo.19555612 HTML <a href="https://doi.org/10.5281/zenodo.19555612"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19555612.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19555612.svg Target URL https://doi.org/10.5281/zenodo.19555612 Resource type Other Publisher Zenodo Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 13, 2026 Modified April 13, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies