R16—Bayesian Empirical Fragility Assessment for Hierarchical Damage Levels: 2018 Sulawesi-Palu Tsunami
Abstract
Abstract This recipe describes a procedure for empirical tsunami fragility assessment, for hierarchical damage levels, using generalized linear regression based on Bayesian updating and model class selection (BMCS). Although developed and described for tsunamis, the recipe is applicable to other types of hazards as long as they can be described by a given intensity measure. This procedure is primarily used for fragility assessment; nevertheless, it can be used also for vulnerability assessment for hierarchical fatality and loss levels.
Fields of Study & Subjects
Earthquake and Tsunami Effects
Seismic Performance and Analysis
Infrastructure Resilience and Vulnerability Analysis
Publication details
- Journal / source
- Mathematics of planet earth
- Pages
- 515–521
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Book chapter