Aug 2026· Pensar Acadêmico· Vol 24, pp. 306-351· 0 citations· 2 references
Abstract
Climate change and global warming have accelerated the adoption of sustainable development strategies. As a major emitter and energy consumer, the construction sector is a primary target for energy efficiency and low-carbon initiatives. This study investigates how Building Information Modeling (BIM) facilitates the transition toward eco-efficient construction. A bibliometric analysis conducted using the Scopus database identifies China, the United Kingdom, and the United States as the most influential contributors to this field of research. Key thematic clusters include energy efficiency, green building, life cycle assessment (LCA), and circular economy, with Digital Twin emerging as a prominent trending topic for monitoring and maintenance. Despite this potential, information quality and interoperability remain critical barriers due to data gaps and a lack of standardization. Addressing these challenges, this paper presents a conceptual framework for creating, structuring, and verifying BIM data to ensure traceability through the IFC schema. Findings suggest that BIM-driven sustainability requires a maturity level characterized by open standards, high-fidelity models, and collaborative workflows. The analyses underscore the necessity of investing in technology and standardization to fully leverage BIM for sustainable development in the AECO industry.
This study explores the synergistic integration of Building Information Modeling (BIM) and Digital Twins (DT) as a transformative paradigm to enhance project efficiency throughout the lifecycle of sustainable construction projects. Employing a qualitative research design rooted in a systematic literature review and lib...
S. Suharwanto· Formosa Journal of Multidisc...· 0 citations
The construction industry is at the forefront of adopting innovative technologies to meet the global challenges posed by sustainable development. This study explores the intersection of Artificial Intelligence (AI), Building Information Modeling (BIM), and the achievement of the United Nations Sustainable Development G...
S. Adekunle, O. Akinradewo, C. Aigbavboa et al.· 2026: Transforming Construct...· 0 citations
Despite the construction sector’s major environmental footprint and the complementary roles of the EU Level(s) framework and BIM in lifecycle-based sustainability assessment, systemic understanding of how the two are integrated remains limited. This study conducts a systematic literature review, following PRISMA 2020 g...
Question: Q1: How does integrating lean construction with Building Information Modelling (BIM), Digital Twins, Artificial Intelligence (AI), and Internet of Things (IoT) improve project delivery and sustainability performance across regions? Q2: What barriers most strongly shape adoption, and what strategies help overc...
M. Alsharqawi, T. Heath· Lean Construction Journal· 0 citations
The construction industry has been identified as one of the major contributors
to the negative impact on the environment which highlights the importance
of well-advanced digital technologies by improving the sustainability during
the entire lifecycle. Building Information Modeling (BIM) and Digital Twin
(DT) technologi...
Khant Zaw Htet, Idris Oyewale Oyelakin, Kenneth Baayeh et al.· European Journal of Prosthod...· 0 citations
The construction sector faces increasing pressure to transition toward circular economy (CE) practices to reduce material waste, embodied carbon, and lifecycle environmental impacts. Digital construction technologies from construction 4.0, particularly building information modeling (BIM) and digital twins (DTs), ar...
Muhammad Afzal, Juan Carlos Flores Lara, A. Acquaye et al.· Journal of Engineering, Desi...· 0 citations
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