Loughborough University
Browse
1-s2.0-S0360132322007454-main.pdf (3.4 MB)

A systematic review on MIVES: A sustainability-oriented multi-criteria decision-making method

Download (3.4 MB)
journal contribution
posted on 2022-09-05, 12:50 authored by David Boix Cots, Francesc Pardo-Bosch, Ana Blanco-AlvarezAna Blanco-Alvarez, Antonio Aguado, Pablo Pujadas

Sustainability has practically become a mandatory concept to be considered in every decision, and multiple decision-making methods have been adapted to take it into account. Among them, sustainability centred methods are also known as sustainability assessments, which provides sustainability indexes to select and prioritize alternatives. One of these most recent presented techniques is MIVES, a multi attribute utility theory multi-criteria decision-making value function-based method initially developed to introduce environmental and social indicators in civil engineering design decisions and later adapted for general evaluation and prioritization of homogenous and heterogeneous alternatives. Over the last decade, it has been widely studied and applied to specific situations, but a MIVES summary is currently lacking. Therefore, in this paper MIVES literature is reviewed with a deep bibliometric analysis carried out to provide on multiple data about MIVES state-of-the-art. Furthermore, a thematic clusters categorisation is done to reveal the usefulness of MIVES as design and decision-making tool, cataloguing the wide applications of MIVES as sustainability index. Finally, a MIVES characteristics discussion is carried out to help researchers deepen their knowledge towards the method and highlight potential future research pathways. 

Funding

Spanish Ministry of Education, Culture and Sports [grant number FPU18/01471]

Serra Hunter programme

AGAUR (2017SGR00227)

Spanish State Investigation Agency

History

School

  • Architecture, Building and Civil Engineering

Published in

Building and Environment

Volume

223

Issue

2022

Publisher

Elsevier

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2022-08-17

Publication date

2022-08-23

Copyright date

2022

ISSN

0360-1323

eISSN

1873-684X

Language

  • en

Depositor

Dr Ana Blanco Alvarez. Deposit date: 23 August 2022

Article number

109515

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC