Vulnerability assessment using quantitative approaches: a review
une revue
DOI:
https://doi.org/10.51359/2238-6211.2025.264530Keywords:
landslides, multicriteria decision-making methods, statistical methods, probabilistic models, machine learningAbstract
Vulnerability is defined as the degree of loss of a certain element or set of elements within an area affected by landslide hazards. Such an assessment is essential to analyze how dangerous events affect or can affect different elements and how human actions and socioeconomic factors influence the propensity for loss or damage in the event of disasters. The present research aimed to review the main methods and techniques recently used to assess vulnerability to landslides. The analysis considered publications retrieved from the Web of Science and ScienceDirect databases between the years 2022 and 2024, using the terms “landslide” and “vulnerability”, resulting in the selection of 10 articles for full reading. Above all, research was identified that analyzes vulnerability in a quantitative way through multi-criteria decision-making methods, statistical methods, probabilistic models and machine learning algorithms. In general, the main limitation pointed out by researchers for the application of quantitative techniques was the lack of temporal data on the occurrence of landslides and socioeconomic data. Despite the relevant contributions of the studies described, research that addresses vulnerability in a quantitative way is still fundamental for the development of methods and techniques that allow the analysis of the topic in all its complexity.
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