This paper presents the work-in-progress status of SlideSafe, a soft-ware tool currently under development for the probabilistic assessment of seismic landslide hazard in the Italian territory. The main goal of SlideSafe is to provide probabilistic estimates of seismic slope stability that can be used to generate regional-scale seismic landslide hazard maps for the preliminary identification of areas requiring subsequent, site-scale analysis. SlideSafe integrates the infinite slope model, used to compute the factor of safety, with the Newmark’s sliding block model for estimating coseismic displacements. The analysis is based on a probabilistic approach: within each grid cell, the aleatory variability of the input parameters is accounted for by assigning appropriate coefficients of variation and a correlation matrix to the deterministic variables derived from raster datasets. In future, the tool will implement a Bayesian probabilistic framework to provide seismic hazard maps. This paper outlines the main principles of SlideSafe, highlights some of its key features, and describes the current state of the tool. Finally, an application example is presented and discussed to illustrate the tool’s potential and its relevance for regional-scale applications
SlideSafe: A Tool for Probabilistic Assessment of Seismic Landslide Hazard / Ciardi, G., Facciorusso, J., Uzielli, M., Madiai, C.. - ELETTRONICO. - (2026), pp. 363-370. (9th Italian National Conference of the Researchers of Geotechnical Engineering CNRIG 2026 ) [10.1007/978-3-032-30669-2_44].
SlideSafe: A Tool for Probabilistic Assessment of Seismic Landslide Hazard
Ciardi, Giovanni
;Facciorusso, Johann;Uzielli, Marco;Madiai, Claudia
2026
Abstract
This paper presents the work-in-progress status of SlideSafe, a soft-ware tool currently under development for the probabilistic assessment of seismic landslide hazard in the Italian territory. The main goal of SlideSafe is to provide probabilistic estimates of seismic slope stability that can be used to generate regional-scale seismic landslide hazard maps for the preliminary identification of areas requiring subsequent, site-scale analysis. SlideSafe integrates the infinite slope model, used to compute the factor of safety, with the Newmark’s sliding block model for estimating coseismic displacements. The analysis is based on a probabilistic approach: within each grid cell, the aleatory variability of the input parameters is accounted for by assigning appropriate coefficients of variation and a correlation matrix to the deterministic variables derived from raster datasets. In future, the tool will implement a Bayesian probabilistic framework to provide seismic hazard maps. This paper outlines the main principles of SlideSafe, highlights some of its key features, and describes the current state of the tool. Finally, an application example is presented and discussed to illustrate the tool’s potential and its relevance for regional-scale applicationsI documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



