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Towards the adoption of most suitable green walls within sustainable buildings using interval type-2 fuzzy best-worst method and TOPSIS technique

journal contribution
posted on 2023-02-14, 03:42 authored by S Tabatabaee, M Ashour, H Sadeghi, SA Hoseini, SR Mohandes, A Mahdiyar, S Ismail, M. Reza HosseiniM. Reza Hosseini
PurposeTo come up with a prudent decision on the installation of an appropriate green wall (GW) on buildings, this study presents a novel decision-making algorithm. The proposed algorithm considers the importance of barriers hampering GW adoption, as well as their relationships with regard to different types of GWs existing in a contextual setting.Design/methodology/approachThe proposed methodological approach is based on the integration of qualitative and quantitative techniques by employing focus group discussion, fuzzy-based best-worst method and fuzzy TOPSIS.FindingsBased on the experiences of qualified experts involved in related projects in Hong Kong, the following conclusions are drawn: (1) cost, installation and maintenance-related barriers are perceived to have the highest importance, (2) modular living wall system is the most suitable GW system for the context of Hong Kong and (3) existing barriers are found to have a pivotal role in the ranking of the most suitable GW systems.Practical implicationsThe findings provide valuable insight not only for policymakers and stakeholders, but also for establishing a methodological approach that can assist decision-makers in identifying the most beneficial GW system rather than the most applicable one. This could have significant implications and introduce potential changes to the common way of practice within the industry and lay the foundation for wider adoption of GW.Originality/valueWhile previous studies have investigated the sustainability-related issues of GW façade applications, the current body of knowledge is deprived of a comprehensive methodological approach for the selection of the most suitable GW systems.

History

Journal

Engineering, Construction and Architectural Management

ISSN

0969-9988

eISSN

1365-232X

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Publisher

EMERALD GROUP PUBLISHING LTD