Asare, O; Obi, L and Thurairajah, N (2024) Leveraging circular economy applications in the offsite construction sector through artificial intelligence: A scientometric review. In: Thomson, C (ed.) Proceedings of 40th Annual ARCOM Conference, 2-4 September 2024, London South Bank University, UK.
Abstract
Offsite construction (OSC) offers a sustainable approach to building, employing innovative methods to reduce waste and enhance delivery efficiency. Integrating circular economy (CE) principles into OSC can further improve its circularity performance, fostering a more sustainable environment. More so, artificial intelligence (AI) can accelerate this integration, augmenting CE application capabilities in OSC. Despite the extensive literature on OSC and CE, implementing AI to enable the integration of CE and OSC, or CE in OSC, remains underexplored. The review aims to analyse the convergence of these domains, uncovering insights for advancing sustainable OSC practices. This research employed scientometric and qualitative analysis to assess 619 journal articles on AI, CE, and OSC literature. Science mapping quantitative literature review and visualisation techniques were used to investigate the data, determining frequently discussed concepts. The evaluation details AI’s integration of CE and OSC, summarising primary applications and limitations. A framework highlighting AI’s potential for promoting CE practices in OSC was developed. The findings highlight AI-machine learning models that overcome the synergy barriers of CE and OSC and serve as a benchmark for future studies.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | artificial intelligence; circular economy; offsite construction |
| Index terms: | integration, mapping, qualitative analysis, construction sector, visualization, machine learning, synergy, future study, artificial intelligence, efficiency, circularity, literature review, science, journal, circular economy |
| Subjects: | spatial and geospatial analysis, performance management, design practice, sustainable design, partnership management, organizational analysis, industry analysis, research design and methodology, research dissemination and communication, specialized education, sustainable materials, artificial intelligence, data analysis and analytics |
| Topics: | Education, Organizational Design, Quality Management, Digital Applications, Design Practice, Sustainability, Stakeholder Management, Research Practice |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here