Multicriteria decision making for selecting an optimal survey approach for large building portfolios

Bibliographic Data

ID22026697
AuthorsEyitayo A Opabola (0000-0002-7598-4812, University College London, corresponding author), Carmine Galasso (0000-0001-5445-4911, University College London)
Year2022
Volume76
Pages102985
Publication date2022-06-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2022.102985
OpenAlexW4224938541
LanguageEN
Citations received2
References cited23

Technological advances and innovations have led to various pre- and post-disaster data collection alternatives. Hence, selecting a suitable survey approach may be challenging for different decision-makers. This paper proposes a multicriteria decision-making (MCDM) method to choose the optimal survey approach to gather exposure information needed for reliable multi-hazard risk assessment of large building and infrastructure portfolios. Both deterministic and stochastic implementations of MCDM are investigated, considering primary sources of aleatory and epistemic uncertainties. The applicability of the proposed framework is demonstrated for a portfolio of 13,200 buildings in a hypothetical multi-hazard prone region. The results show that informed decisions on identifying an optimal survey technique could be efficiently derived using MCDM and a number of relevant criteria. The proposed methodology can support various decision-makers in pre- and post-disaster risk modeling and management/reduction

Business · Hazard · Implementation · Machine learning · Management science · Multiple-criteria decision analysis · Operations research · Portfolio · Uncertainty quantification · Computer Science · Engineering · Infrastructure Maintenance and Monitoring · Infrastructure Resilience and Vulnerability Analysis · Probabilistic and Robust Engineering Design

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