Rockfall risk management on transportation corridors: coupling risk assessment with terrestrial mobile LiDAR survey on the A22 motorway (South Tyrol, Italy)

Abstract This study presents an integrated approach, coupling rockfall risk assessment with a vehicle-based surveying for the large-scale management of slope assets along transportation corridors. Rockfall risk was assessed qualitatively using relative rating scales. To reduce the subjectivity inherent in expert judgment, susceptibility was estimated through probabilistic methods, while vulnerability was informed by conventional runout simulations. Despite the associated uncertainties, the occurrence of a January 2024 rockfall within an area classified as high risk provides independent qualitative support for the consistency of the first-level screening results. Terrestrial Mobile LiDAR (TML) survey conducted from a car was designed to maximise effectiveness and efficiency in capturing rockfall-prone slopes and establishing a baseline for long-term monitoring. Its actual effectiveness, efficiency, potential and limitations were evaluated through a survey conducted in April 2023. Approximately 3.5 km of the A22 motorway, representing more than one-quarter of the analysed section, were found to be potentially exposed to rockfall risk, originating from 27 of the 55 identified potential detachment zones. The TML survey successfully detected over 70% of these zones, achieving a point density potentially sufficient to identify volumes greater than approximately 10 dm 3 . The scanning was constrained by morphological conditions, such as vertical slopes adjacent to the motorway, structural obstacles, such as tunnel portals, and the instrument’s maximum range of 475 m. Despite these limitations, the quality and accuracy of the acquired data indicate that the TML can effectively support the motorway operators in large-scale rockfall risk management.

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Publication Details

Journal
Natural Hazards
Published
2026-11-02
DOI
https://doi.org/10.1007/s11069-026-08459-1
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
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article

Rockfall risk management on transportation corridors: coupling risk assessment with terrestrial mobile LiDAR survey on the A22 motorway (South Tyrol, Italy)

Vincenzo Critelli, Edgar Ferro, Alfonso Vitti, Alessandro Corsini et al.
1 links
Natural Hazards
Landslides and related hazards
article

Rockfall risk management on transportation corridors: coupling risk assessment with terrestrial mobile LiDAR survey on the A22 motorway (South Tyrol, Italy)

Vincenzo Critelli, Edgar Ferro, Alfonso Vitti, Alessandro Corsini, Francesco Ronchetti, Lucia Simeoni, David Quattrociocchi, Francesco Lelli, Diana Bianchi, Carlo Costa
article en

Abstract

Abstract This study presents an integrated approach, coupling rockfall risk assessment with a vehicle-based surveying for the large-scale management of slope assets along transportation corridors. Rockfall risk was assessed qualitatively using relative rating scales. To reduce the subjectivity inherent in expert judgment, susceptibility was estimated through probabilistic methods, while vulnerability was informed by conventional runout simulations. Despite the associated uncertainties, the occurrence of a January 2024 rockfall within an area classified as high risk provides independent qualitative support for the consistency of the first-level screening results. Terrestrial Mobile LiDAR (TML) survey conducted from a car was designed to maximise effectiveness and efficiency in capturing rockfall-prone slopes and establishing a baseline for long-term monitoring. Its actual effectiveness, efficiency, potential and limitations were evaluated through a survey conducted in April 2023. Approximately 3.5 km of the A22 motorway, representing more than one-quarter of the analysed section, were found to be potentially exposed to rockfall risk, originating from 27 of the 55 identified potential detachment zones. The TML survey successfully detected over 70% of these zones, achieving a point density potentially sufficient to identify volumes greater than approximately 10 dm 3 . The scanning was constrained by morphological conditions, such as vertical slopes adjacent to the motorway, structural obstacles, such as tunnel portals, and the instrument’s maximum range of 475 m. Despite these limitations, the quality and accuracy of the acquired data indicate that the TML can effectively support the motorway operators in large-scale rockfall risk management.

Natural HazardsVol. 122(23)
University of Modena and Reggio Emilia (IT), University of Trento (IT)
Sustainable cities and communities, Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Landslides and related hazards
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