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Abstract

At present, the construction industry has not yet fully optimized the integration of the potential of big data. Past studies signaled the potential benefits of integrating building information management (BIM) and big data in the field of sustainable building management (SBM). However, these studies have a monotonous perspective in identifying the development of BIM and big data applications in SBM. Therefore, this paper aims to explore BIM and big data from various perspectives in the field of SBM to identify the aspects where additional efforts are required and provide insights into future directions, and it adopts a mixed method of quantitative and qualitative analysis, including bibliometric analysis and knowledge mapping, providing a macro-overview of the research status and development trends of BIM and big data integration for SBM from multiple bibliometric perspectives. The results indicate the following: (1) the current studies on BIM and big data integration (BBi)-aided SBM mainly focused on data integration and interoperability for collaboration, development of information technologies and emerging technologies, data analysis and presentation, and green building and sustainability assessment; (2) the longitudinal analysis of three time-slice phases (2010–2014, 2015–2018, and 2019–2024) over the past 15 years indicates that the studies on BBi-aided SBM have been expanded from the application of BIM in construction projects to the integration and interoperability of BIM with information technology, the integration of virtual models with physical buildings, and sustainable management throughout the building life cycle stages; and (3) key research gaps and emerging directions include data integration and model interoperability across the building life cycle, model transferability in the application of technology, and a comprehensive sustainability assessment framework based on the whole building life cycle stages.

Details

1009240
Title
Building Information Modeling and Big Data in Sustainable Building Management: Research Developments and Thematic Trends via Data Visualization Analysis
Author
Liu, Zhen 1   VIAFID ORCID Logo  ; Deng Langyue 1   VIAFID ORCID Logo  ; Wang, Fenghong 1 ; Xiong, Wei 1 ; Wu Tzuhui 2 ; Demian, Peter 3   VIAFID ORCID Logo  ; Osmani, Mohamed 3 

 School of Design, South China University of Technology, Guangzhou 510006, China; [email protected] (Z.L.); [email protected] (L.D.); [email protected] (T.W.), Digital Intelligence Enhanced Design Innovation Laboratory, Key Laboratory of Philosophy and Social Science in General Universities of Guangdong Province, Guangzhou 510006, China 
 School of Design, South China University of Technology, Guangzhou 510006, China; [email protected] (Z.L.); [email protected] (L.D.); [email protected] (T.W.) 
 School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK; [email protected] (P.D.); [email protected] (M.O.) 
Publication title
Systems; Basel
Volume
13
Issue
7
First page
595
Number of pages
37
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
20798954
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-07-16
Milestone dates
2025-05-12 (Received); 2025-07-11 (Accepted)
Publication history
 
 
   First posting date
16 Jul 2025
ProQuest document ID
3233253673
Document URL
https://www.proquest.com/scholarly-journals/building-information-modeling-big-data/docview/3233253673/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-07-28
Database
2 databases
  • Coronavirus Research Database
  • ProQuest One Academic