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A review of multi-criteria decision-making methods for building assessment, selection, and retrofit

    Paola Villalba Affiliation
    ; Antonio J. Sánchez-Garrido Affiliation
    ; Víctor Yepes Affiliation

Abstract

Multiple criteria decision-making (MCDM) has experienced significant growth in recent years, owing to its capacity to integrate even contradictory criteria. This study conducted a comprehensive literature review of MCDM for assessing, selecting, and retrofitting buildings. The bibliometric search used a search algorithm in specialized databases. A filtering and expansion process was done by reviewing references, and 91 relevant articles were selected. The analysis revealed that in a group of studies, socioeconomic criteria were used to assess the vulnerability of buildings. On the other hand, some research integrated the three dimensions of sustainability (economic, social, and environmental) along with safety considerations when identifying optimal retrofit alternatives. Classic MCDMs are prevalent in research within this field. Among the most used methods, the Analytic Hierarchy Process (AHP) was employed for criteria weighting, Simple Additive Weighting (SAW) for constructing vulnerability indices, and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for building retrofitting. This literature review contributes to the path toward a holistic renovation of the existing building stock, providing recommendations for future research to improve decision-making solutions for integrating the safety and sustainability of existing buildings.

Keyword : decision making, MCDM, multi-criteria, retrofit, structural assessment, sustainability, vulnerability

How to Cite
Villalba, P., Sánchez-Garrido, A. J., & Yepes, V. (2024). A review of multi-criteria decision-making methods for building assessment, selection, and retrofit. Journal of Civil Engineering and Management, 30(5), 465–480. https://doi.org/10.3846/jcem.2024.21621
Published in Issue
Jun 5, 2024
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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