AI Applications in the AEC Industry: A Systematic Literature Review
Dr. Vijayeta Malla; Teja Pulla, CCP CEP EVP PRMP PSP; and Dr. Chaitanya Poolla
Abstract
The architecture, engineering, and construction (AEC) industry has been notoriously known for stagnant productivity due to substantial dependence on labor-intensive operations and continued mundane processes lacking automation for several decades [1].With the progression of technological interventions such as the use of artificial intelligence (AI), building information modeling, data science, virtual, augmented, and mixed reality, and blockchain, the construction landscape's dearth of technological interventions in improving productivity has been to some extent fulfilled [2] [3]. The technology-driven tasks transformed the construction operations with visualized outcomes, simulations, and pre-emptive risk identification with information-rich models that facilitated informed decision-making. Gradually, the era of Industry 4.0 was infused into construction project operations, complimented decision-making, and thereby became the mainstream phenomenon in the current construction industry.
Although the AI applications have percolated in developed nations, the need to explore the potential of the research is limited. The current study performs extant research status and potential research areas through a scientometric route on AI in the construction domain. It presents a scientometric analysis of scholarly articles on AI, ML, and its applications in the built environment domain using VOSviewer. Social network maps of publications of the shortlisted research articles in the construction domain are developed to present a co-occurrence of keywords and co-authorship (countries and co-authors) sociogram. This scientometric review presents prospects of research through thematic analysis (TA).
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Vijayeta Malla
Strategy Scenario Planning (Planning)
Milpitas CA
vijayeta.malla@gmail.com------------------------------