NARA Discovery
Article Details
← Back to Search Results
Journal Article

Quantitative landslide risk assessment for Italy

Francesco Caleca; Veronica Tofani; Federico Raspini; Samuele Segoni; Nicola Casagli
Landslides · Vol. 22, Issue 11 · pp. 3537-3559 · 2025

Abstract

Landslides are among the most prevalent geohazards worldwide, leading to significant loss of human lives and extensive property damage. Italy stands out as one of the European countries most frequently affected by landslides, resulting in significant consequences for its community. Despite numerous studies on landslides across Italy, including efforts in susceptibility modeling and forecasting, a comprehensive national-scale quantitative risk assessment is still absent. This gap reflects a broader trend in landslide risk research, where most studies are confined to limited areas due to methodological and data constraints. In this contribution, we present a quantitative landslide risk assessment for Italy (300,000 km $$^2$$ 2 ), integrating the key components: landslide hazard, landslide intensity, vulnerability, and exposure of elements at risk. We express landslide risk as potential economic losses to human properties, specifically buildings and land use. The analysis considers three primary landslide types: slow-moving landslides, fast-moving landslides, and rockfalls. Furthermore, the assessment incorporates a temporal dimension by estimating potential losses over 2-year, 5-year, and 10-year scenarios. The results reveal that slow-moving landslides generally pose the greatest risk with mean potential economic losses of 0.40 Million € in the 10-year scenario.

Bibliographic Information

JournalLandslides
PublisherSpringer
Publication Date2025-11-01
Publication Year2025
Volume22
Issue11
Pages3537-3559
Document TypeJournal Article
Print ISSN1612-510X
eISSN1612-5118
DOI10.1007/s10346-025-02590-z

Access Information

NARA Access Coverage2004-01-01~Current
Journal Homepagehttps://www.springer.com/journal/10346
Publisher PageOpen Publisher Page
Full-text access depends on NARA's subscribed coverage and institutional access.