AI-Enabled Digital Twins in the Built Environment: A Bibliometric Review of Applications, Trends, and Future Directions

Digital twin (DT) is increasingly adopted in the architecture, engineering, and construction (AEC) sector to support data-driven modeling, monitoring, and decision-making across the building lifecycle. While Artificial Intelligence (AI) applications in DT have increased rapidly, existing studies rem...

Full description

Saved in:
Bibliographic Details
Published in:Buildings (Basel) 2026-02, Vol.16 (4), p.809
Main Authors: Wang, Yixuan, Schnabel, Marc Aurel, Zhang, Yujie, Wang, Kaiyang, Guo, Fangyu
Format: Article
Language:English
Subjects:
AEC
Artificial intelligence
bibliometric review
Bibliometrics
BIM
Building information modeling
Built environment
Cocitation
Collaboration
construction industry
Data visualization
Decision making
Deep learning
digital twin
Digital twins
Intelligent agents
Internet of Things
Keywords
Large language models
Machine learning
Paradigms
Scientometrics
Simulation
Trends
Urban environments
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!