Drivers of BIM-Based Life Cycle Sustainability Assessment of Buildings: An Interpretive Structural Modelling Approach

Adetayo Onososen (), Innocent Musonda and Motheo Meta Tjebane
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Adetayo Onososen: Centre of Applied Research and Innovation in the Built Environment (CARINBE), Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 2092, South Africa
Innocent Musonda: Centre of Applied Research and Innovation in the Built Environment (CARINBE), Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 2092, South Africa
Motheo Meta Tjebane: Centre of Applied Research and Innovation in the Built Environment (CARINBE), Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 2092, South Africa

Sustainability, 2022, vol. 14, issue 17, 1-21

Abstract: Building Information Modelling (BIM) for life cycle sustainability assessment is an emerging development considered valuable given its importance in enhancing the environmentally friendly performance of buildings by delivering eco-efficient structures. However, despite its benefits, adoption is low. Thus, this study examines the key drivers of a building’s BIM-based life cycle sustainability assessment. An interpretive structural modelling approach and Matrice d’Impacts croises-multipication applique a classement (MICMAC) analysis were adopted for this study. Nineteen key drivers were categorized into a seven-level ISM model, which revealed that the successful implementation of the driving factors for BIM-based LCSA would increase its adoption and encourage users to be proactive in exploring solutions, exerting best efforts, and advancing its usage. The primary drivers, such as organizational readiness, personal willingness to use, procurement methods, and organizational structure, amongst others, are crucial for discussing BIM-based LCSA adoption strategies and making guidelines and design decisions to guide the process. This paper therefore contributes to the growing discussion on BIM from the viewpoint of an assessment of a building’s life cycle sustainability. The study concludes that organizational, governmental, and institutional support, as well as capacity development, are essential to driving BIM-Based LCSA.

Keywords: drivers; building information modelling (BIM); life cycle sustainability assessment; LCSA; ISM; interpretive structural modelling; MICMAC (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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