Technology Gap Analysis on the BIM-Enabled Design Process of Prefabricated Buildings: An Autoethnographic Study

This research explores the pivotal role of Building Information Modeling (BIM) technology in revolutionizing the design and construction of prefabricated buildings. It highlights the benefits of BIM-enabled design processes, including improved coordination and efficiency, while addressing challenges in integrating BIM with prefabricated elements. The study proposes artificial intelligence (AI) solutions to enhance architectural detailing, optimize workflows, and facilitate human–robot collaboration. Using autoethnographic methods, the research refines BIM-forward design through thematic analysis and technology gap (TG) assessments. It advocates for a comprehensive technology roadmap that emphasizes BIM libraries, external data sources, and the transition to a multi-dimensional BIM environment. This research contributes valuable insights to advance BIM practices in prefabricated building construction and offers a strategic framework to bridge existing TGs, enabling seamless integration of BIM and AI in future practices.

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Institutions

Publication Details

Journal
Buildings
Published
2024-10-31
DOI
https://doi.org/10.3390/buildings14113498
Citations
5
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.33
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article

Technology Gap Analysis on the BIM-Enabled Design Process of Prefabricated Buildings: An Autoethnographic Study

Ding Zhou, Weijia Huang, Longbao Chen, Pengxiang Guo et al.
5 citations
Buildings
BIM and Construction Integration
1.33
article

Technology Gap Analysis on the BIM-Enabled Design Process of Prefabricated Buildings: An Autoethnographic Study

Ding Zhou, Weijia Huang, Longbao Chen, Pengxiang Guo, Jiahui Zhang, Junpeng Zhao, Guohua Wei, Huigang Wang
article en
5 citations

Abstract

This research explores the pivotal role of Building Information Modeling (BIM) technology in revolutionizing the design and construction of prefabricated buildings. It highlights the benefits of BIM-enabled design processes, including improved coordination and efficiency, while addressing challenges in integrating BIM with prefabricated elements. The study proposes artificial intelligence (AI) solutions to enhance architectural detailing, optimize workflows, and facilitate human–robot collaboration. Using autoethnographic methods, the research refines BIM-forward design through thematic analysis and technology gap (TG) assessments. It advocates for a comprehensive technology roadmap that emphasizes BIM libraries, external data sources, and the transition to a multi-dimensional BIM environment. This research contributes valuable insights to advance BIM practices in prefabricated building construction and offers a strategic framework to bridge existing TGs, enabling seamless integration of BIM and AI in future practices.

BuildingsVol. 14(11)
Southern University of Science and Technology (CN), Shenzhen Institute of Building Research (China) (CN), Changhong (China) (CN)
Openalex Percentile: Top 20%
BIM and Construction Integration
1.33
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Technology Gap Analysis on the BIM-Enabled Design Process of Prefabricated Buildings: An Autoethnographic Study — Ding Zhou, Weijia Huang, et al. · Buildings (2024) | TGRS Research Map | TGRS