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FCM-Enabled Approach for Investigating Interdependencies of BIM Performance Factors in the Sustainable Built Environment

  • Pavan Kumar
  • Aritra Pal
  • Yun-Tsui Chang
  • Shang-Hsien Hsieh

In pursuit of a sustainable built environment, BIM plays a crucial role in the project's performance and has egressed as a powerful technology in the construction industry, impacting the outcome and the project delivery workflows. Numerous dynamic and interdependent factors influence BIM performance. However, Existing literature prominently focuses on exploring the influencing factors for BIM performance, ignoring the impact and strength of the interplay of these factors on one another, therefore offering an inadequate picture of optimizing BIM performance. The evolving nature and degree of complexity of construction projects necessitate the identification and comprehensive understanding of the interdependencies between factors contributing to BIM performance in the sustainable built environment. A Fuzzy Cognitive Map (FCM) is a modeling method that represents and analyses the interplay between the factors in a complex system. So, this study proposes an FCM-enabled approach to investigate the interdependencies of factors contributing to BIM performance and conduct what-if scenarios, including predictive analysis. The developed FCM model can help reveal the hidden cause-effect relationships among a complex system of BIM performance factors, enabling stakeholders to develop more informed strategies and proactively plan to optimize BIM Performance

  • Keywords:
  • BIM performance,
  • Fuzzy Cognitive Map (FCM),
  • Built environment,
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Pavan Kumar

National Taiwan University, Taiwan (Province of China)

Aritra Pal

National Taiwan University, Taiwan (Province of China) - ORCID: 0000-0002-1644-7400

Yun-Tsui Chang

National Taiwan University, Taiwan (Province of China) - ORCID: 0000-0003-1515-4187

Shang-Hsien Hsieh

National Taiwan University, Taiwan (Province of China)

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  • Publication Year: 2023
  • Pages: 585-593

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  • Publication Year: 2023

Chapter Information

Chapter Title

FCM-Enabled Approach for Investigating Interdependencies of BIM Performance Factors in the Sustainable Built Environment

Authors

Pavan Kumar, Aritra Pal, Yun-Tsui Chang, Shang-Hsien Hsieh

DOI

10.36253/979-12-215-0289-3.57

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

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