The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry
Abstract
Building information modeling (BIM) is one of the most promising recent developments in the architecture, engineering, and construction (AEC) industry. With BIM technology, an accurate virtual model of a building is digitally constructed. This model, known as a building information model, can be used for planning, design, construction, and operation of the facility. It helps architects, engineers, and constructors visualize what is to be built in a simulated environment to identify any potential design, construction, or operational issues. BIM represents a new paradigm within AEC, one that encourages integration of the roles of all stakeholders on a project. In this paper, current trends, benefits, possible risks, and future challenges of BIM for the AEC industry are discussed. The findings of this study provide useful information for AEC industry practitioners considering implementing BIM technology in their projects.
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Cites
Learning by Expanding: An Activity-Theoretical Approach to Developmental Research
Engeström, Y. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139814744 · Cited by 4,991
Cited by
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Bilal, M., Oyedele, L. O., Qadir, J., Munir, K., Ajayi, S. O., Akinade, O. O., Owolabi, H. A., Alaka, H. A., & Pasha, M. (2016) · Advanced Engineering Informatics · doi:10.1016/j.aei.2016.07.001 · Cited by 734
Building Information Modeling (BIM) for green buildings: A critical review and future directions
Lu, Y., Wu, Z., Chang, R., & Li, Y. (2017) · Automation in Construction · doi:10.1016/j.autcon.2017.08.024 · Cited by 555
Machine learning and data analytics for the IoT
Adi, E., Anwar, A., Baig, Z., & Zeadally, S. (2020) · Neural Computing and Applications · doi:10.1007/s00521-020-04874-y · Cited by 279
Patterns and trends in Building Information Modeling (BIM) research: A Latent Semantic Analysis
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Broo, D. G., & Schooling, J. (2023) · International Journal of Construction Management · doi:10.1080/15623599.2021.1966980 · Cited by 184
Metadata
- Authors
- Azhar, S.
- Venue
- Leadership and Management in Engineering
- Published
- 2011-07
- Volume
- 11
- Issue
- 3
- Pages
- 241-252
- ISSN
- 1532-6748 (ISSN-L)
- 1943-5630
- OpenAlex
- W2121434806
- Cited by
- 2,192
- References
- 1
- FWCI
- 78.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- Azhar, S. (2011). Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry. Leadership and Management in Engineering. https://doi.org/10.1061/(asce)lm.1943-5630.0000127
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
