Assessing Urban Vulnerability Through a Multi-Hazard Framework with Independent Events Modelling
Natural hazards and their negative impacts on assets are increasing because of a variety of causes, including climate change, population expansion, and urbanization. Moreover, several areas are susceptible to multiple hazards that interact spatially and/or temporally, necessitating a multi-hazard assessment to adequately mitigate their effects. The goal of this study is to investigate the direct monetary losses produced by the simultaneous interaction of two independent hazards in Lisbon’s city centre, i.e., earthquake and pluvial flood. Seismic hazard has been assessed in terms of macro-seismic intensity, while flood scenario allows for the prediction of water depth for different return periods through a hydrologic-hydraulic model in HEC-RAS software. The seismic and flood vulnerability of the urban investigated compound was evaluated through MCDM methodology—specifically, AHP and TOPSIS methods. A framework for multi-hazard analysis was subsequently developed, explicitly accounting for the interaction between the two hazards and their joint occurrence probabilities based on historical data from the case study area. The results demonstrate that multi-hazard losses are 108 M€ for a 2-year return period and 232 M€ for a 475/500-year scenario, emphasizing that floods contribute more across all return periods in the research area; however, for longer return periods, the earthquake contribution increases significantly.
Authors
- Nicola Chieffo (ORCID: https://orcid.org/0000-0001-5714-3334)
- Glenda Mascheri (ORCID: https://orcid.org/0009-0002-0521-3761)
- Paulo B. Lourenço (ORCID: https://orcid.org/0000-0001-8459-0199)
- Cláudia Pinto
Institutions
- University of Huddersfield (GB)
- Câmara Municipal de Lisboa (PT)
- University of Minho (PT)
Publication Details
- Journal
- Applied Sciences
- Published
- 2026-05-21
- DOI
- https://doi.org/10.3390/app16105154
- Primary Topic
- Flood Risk Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundação para a Ciência e a Tecnologia