Development of new methodologies for a multi-scale landslide quantitative risk assessment

Landslides represent a significant natural hazard with potentially severe consequences for human lives and properties. In the last decades, the increasing frequency and magnitude of extreme meteorological events as well as the expansion of human footprint in landslide-prone areas, has certainly intensified their consequences. Understanding the potential losses that an area could suffer in the case of a landslide belongs to the landslide quantitative risk assessment framework. However, the analysis of the literature on landslide risk reveals that most of the contributions are mainly focused on single slopes or sub-catchments. Whereas larger areas are often analyzed through qualitative methods or risk indicators. In light of these considerations, this thesis aims to address the research question of whether quantitative landslide risk assessments can be extended to larger areas. Accordingly, the main objective of this research focuses on the development or improvement of methodologies to expand the landslide risk assessment across different spatial extents. The outcomes of this work are presented through a series of case studies, ranging from continental to catchment scales. Specifically, the thesis focuses on estimating potential economic losses by evaluating the risk components: susceptibility, hazard, intensity, vulnerability, and exposure across diverse geographical regions. Despite some limitations arising from the lack of data, especially at small scales, this PhD work provides new insights for improving landslide risk framework.