A Geospatial Framework for Landslide Risk Assessment of Road Infrastructure at a Regional Level in Greece

Bibliographic Data

ID22033309
AuthorsZoe Misiri (University of Patras), Alkistis Antonopoulou (0009-0001-8557-194X, University of Patras), Nikolaos Depountis (0000-0003-3474-5468, University of Patras), Panagiotis Ioannidis (0000-0003-0939-6745, University of Patras), Andreas Kazantzidis (0009-0005-6612-4991, University of Patras)
Year2026
Volume15
Issue6
Pages246
Publication date2026-06-02
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi15060246
OpenAlexW7163128194
LanguageEN
References cited42

This study presents a geospatial framework for assessing landslide risk along one of the most landslide-prone road networks in Greece, located in the Region of Epirus. Utilizing a field-verified inventory of 295 active landslides, the research evaluates five key predisposing factors (lithology, slope, elevation, land use, and cumulative annual precipitation) using the bivariate Frequency Ratio (FR) statistical model. Among six tested configurations, the baseline model integrating all factors demonstrated the highest reliability, quantitatively validated through Prediction Rate Curves yielding an Area Under the Curve (AUC) of 0.788 with the use of an independent dataset of 126 landslides. As a spatial outcome of this statistically validated configuration, nearly 80% of the study area was classified within Moderate to Very High susceptibility zones. The resulting Landslide Susceptibility Index (LSI) was converted into an event-based Landslide Hazard Index (LHI) and integrated with a weighted Road Vulnerability Map based on functional importance and traffic volume. The final Landslide Risk Map highlights critical risk clusters along major transportation corridors traversing weak geological formations, steep slopes, and high-precipitation areas. This quantitative approach provides a focused decision-support tool for regional authorities to prioritize geotechnical monitoring and allocate resources for road infrastructure improvement and safety

Bivariate analysis · Geographic information system · Geospatial analysis · Hazard · Landslide · Risk assessment · Traverse · Disaster Management and Resilience · Landslides and related hazards · Synthetic Aperture Radar (SAR) Applications and Techniques

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