Song-Shun Lin , Shui-Long Shen , Annan Zhou , Xiang-Sheng Chen
{"title":"Smart Techniques Promoting Sustainability in Construction Engineering and Management","authors":"Song-Shun Lin , Shui-Long Shen , Annan Zhou , Xiang-Sheng Chen","doi":"10.1016/j.eng.2024.08.023","DOIUrl":null,"url":null,"abstract":"<div><div>Construction engineering and management (CEM) has become increasingly complicated with the increasing size of engineering projects under different construction environments, motivating the digital transformation of CEM. To contribute to a better understanding of the state of the art of smart techniques for engineering projects, this paper provides a comprehensive review of multi-criteria decision-making (MCDM) techniques, intelligent techniques, and their applications in CEM. First, a comprehensive framework detailing smart technologies for construction projects is developed. Next, the characteristics of CEM are summarized. A bibliometric review is then conducted to investigate the keywords, journals, and clusters related to the application of smart techniques in CEM during 2000–2022. Recent advancements in intelligent techniques are also discussed under the following six topics: ① big data technology; ② computer vision; ③ speech recognition; ④ natural language processing; ⑤ machine learning; and ⑥ knowledge representation, understanding, and reasoning. The applications of smart techniques are then illustrated via underground space exploitation. Finally, future research directions for the sustainable development of smart construction are highlighted.</div></div>","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"45 ","pages":"Pages 262-282"},"PeriodicalIF":10.1000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2095809924005617","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Construction engineering and management (CEM) has become increasingly complicated with the increasing size of engineering projects under different construction environments, motivating the digital transformation of CEM. To contribute to a better understanding of the state of the art of smart techniques for engineering projects, this paper provides a comprehensive review of multi-criteria decision-making (MCDM) techniques, intelligent techniques, and their applications in CEM. First, a comprehensive framework detailing smart technologies for construction projects is developed. Next, the characteristics of CEM are summarized. A bibliometric review is then conducted to investigate the keywords, journals, and clusters related to the application of smart techniques in CEM during 2000–2022. Recent advancements in intelligent techniques are also discussed under the following six topics: ① big data technology; ② computer vision; ③ speech recognition; ④ natural language processing; ⑤ machine learning; and ⑥ knowledge representation, understanding, and reasoning. The applications of smart techniques are then illustrated via underground space exploitation. Finally, future research directions for the sustainable development of smart construction are highlighted.
期刊介绍:
Engineering, an international open-access journal initiated by the Chinese Academy of Engineering (CAE) in 2015, serves as a distinguished platform for disseminating cutting-edge advancements in engineering R&D, sharing major research outputs, and highlighting key achievements worldwide. The journal's objectives encompass reporting progress in engineering science, fostering discussions on hot topics, addressing areas of interest, challenges, and prospects in engineering development, while considering human and environmental well-being and ethics in engineering. It aims to inspire breakthroughs and innovations with profound economic and social significance, propelling them to advanced international standards and transforming them into a new productive force. Ultimately, this endeavor seeks to bring about positive changes globally, benefit humanity, and shape a new future.