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

Opabola, Eyitayo A; Galasso, Carmine; (2022) Multicriteria decision making for selecting an optimal survey approach for large building portfolios. International Journal of Disaster Risk Reduction , 76 , Article 102985. 10.1016/j.ijdrr.2022.102985. Green open access

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Abstract

Technological advances and innovations have led to various pre- and post-disaster data collection alternatives to traditional sidewalk surveys. 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.

Type: Article
Title: Multicriteria decision making for selecting an optimal survey approach for large building portfolios
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.ijdrr.2022.102985
Publisher version: https://doi.org/10.1016/j.ijdrr.2022.102985
Language: English
Additional information: Copyright © 2022 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords: Multicriteria decision-making; Survey; Data collection; Risk assessment; Risk management
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10147589
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