Artificial Intelligence in the Construction Industry: Main Development Trajectories and Future Outlook

Autor: Hsiu-Ping Chen, Kuo-Ching Ying
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Applied Sciences, Vol 12, Iss 12, p 5832 (2022)
Druh dokumentu: article
ISSN: 2076-3417
DOI: 10.3390/app12125832
Popis: Recent developments in artificial intelligence (AI) have greatly influenced progress in various industries. While the complexity of the construction industry makes it an essential and potential area for AI applications, there has been no analysis conducted on the main development paths for the applications of AI technologies in the construction industry. To fill this gap, this study applied the main path analysis method to investigate the evolution of AI technologies in the construction industry. This study analyzed 587 articles published between 1989 and 2021 to identify the main development trajectories of AI technologies in the construction industry and to suggest possible directions in which AI technologies can be further applied to promote progress in architectural design, engineering design, and construction services.
Databáze: Directory of Open Access Journals