Analysis of the underlying factors affecting BIM-LCA integration in the Ghanaian construction industry: a factor analysis approach

被引:0
作者
Danso, Anthony Kwame [1 ]
Edwards, David John [2 ,3 ]
Adjei, Elvis Konadu [4 ]
Adjei-Kumi, Theophilus [1 ]
Owusu-Manu, De-Graft [1 ]
Fianoo, Stephen Israel [1 ]
Thwala, Wellington Didibhuku [5 ]
机构
[1] Kwame Nkrumah Univ Sci & Technol, Dept Construct Technol & Management, Kumasi, Ghana
[2] Birmingham City Univ, Dept Built Environm, Birmingham, England
[3] Univ Johannesburg, Fac Engn & Built Environm, Doornfontein Campus, Doornfontein, South Africa
[4] Colorado State Univ, Dept Construct Management, Ft Collins, CO 80523 USA
[5] Univ Johannesburg, Dept Construct Management & Quant Surveying, Johannesburg, South Africa
来源
CONSTRUCTION INNOVATION-ENGLAND | 2024年
关键词
BIM; LCA; BIM-LCA integration; Construction management; Sustainability and green buildings; Design and construction; LIFE-CYCLE ASSESSMENT; INFORMATION MODELING BIM; ENVIRONMENTAL IMPACTS; QUANTITY SURVEYORS; BUILDINGS; ADOPTION; ACCEPTANCE; TOOLS; FIRMS;
D O I
10.1108/CI-05-2024-0147
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
PurposeThe integration of building information modelling (BIM) and life cycle assessment (LCA) is an effective means of achieving sustainability in the built environment. However, research remains scant on BIM-LCA integration in the Ghanaian construction industry (GCI). This study aims to evaluate the barriers to BIM-LCA integration in the GCI from the perspective of construction professionals.Design/methodology/approachEpistemologically relevant theory was developed using interpretivism and post-positivist principles and tested using primary quantitative data. Firstly, a comprehensive literature review identified and examined BIM-LCA integration barriers. Structured surveys of 216 Ghanaian construction professionals collected data on BIM-LCA integration barriers. Data was then analysed using exploratory factor analysis.FindingsFindings revealed three clusters of barriers, namely, organisational barriers; technical complexity; and knowledge and education. These findings identify and recommend solutions to BIM-LCA integration barriers to standardise processes, raise awareness and integrate project management systems. BIM-LCA adoption will increase productivity, sustainability, construction sector employment (and skills development) and economic growth. This paper concludes with future research on how artificial intelligence and machine learning could improve BIM-LCA integration in building designs. Such work would reveal how new technologies can be used to overcome adoption barriers and promote sustainable building.Originality/valueThis research provides novel knowledge on the barriers to BIM-LCA adoption in Ghana. Practical recommendations for overcoming these barriers are also proposed, e.g. developing standardised procedures and protocols, increasing awareness and education and integrating BIM-LCA into project management systems.
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页数:21
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