A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Applicability of smart construction technology: Prioritization and future research directions
Abstract The potential for facilitating faster, safer, and more sustainable construction processes through the adoption of smart construction technologies is widely recognized. However, the limited adoption of these technologies in construction projects highlights the significance of identifying the technological needs of major stakeholders and the prioritization of research and development investment. In this study, the quality function deployment technique is employed to extract and prioritize the required technologies (RTs) from various stakeholders, while a thematic literature review is conducted to identify challenges and future research directions. The findings improve the efficiency of resource allocation, allowing policymakers to strategically address pressing issues. This can facilitate collaboration and communication among researchers, stakeholders, and the wider community, fostering a shared vision and understanding of future research goals and outcome.
Graphical abstract Display Omitted
Highlights Prioritizing smart construction technologies can enhance their applicability. The top nine of technologies were prioritized by using quality function deployment. Thematic review was conducted for each of the top nine technologies. The challenges and future research directions were presented by review.
Applicability of smart construction technology: Prioritization and future research directions
Abstract The potential for facilitating faster, safer, and more sustainable construction processes through the adoption of smart construction technologies is widely recognized. However, the limited adoption of these technologies in construction projects highlights the significance of identifying the technological needs of major stakeholders and the prioritization of research and development investment. In this study, the quality function deployment technique is employed to extract and prioritize the required technologies (RTs) from various stakeholders, while a thematic literature review is conducted to identify challenges and future research directions. The findings improve the efficiency of resource allocation, allowing policymakers to strategically address pressing issues. This can facilitate collaboration and communication among researchers, stakeholders, and the wider community, fostering a shared vision and understanding of future research goals and outcome.
Graphical abstract Display Omitted
Highlights Prioritizing smart construction technologies can enhance their applicability. The top nine of technologies were prioritized by using quality function deployment. Thematic review was conducted for each of the top nine technologies. The challenges and future research directions were presented by review.
Applicability of smart construction technology: Prioritization and future research directions
Ahn, Heejae (author) / Lee, Changsu (author) / Kim, Minju (author) / Kim, Taehoon (author) / Lee, Dongmin (author) / Kwon, Woobin (author) / Cho, Hunhee (author)
2023-05-22
Article (Journal)
Electronic Resource
English
Smart construction technologies , Fourth industrial revolution (4IR) , Quality function deployment (QFD) , Technology innovation , Prioritization , 4IR , The Fourth Industrial Revolution , AI , Artificial Intelligence , QFD , Quality Function Development , RT , Required Technology , FGI , Focus Group Interview , PI , Problems and Issues , HOQ , House of Quality , TCs , Technical Characteristics , CRs , Customer Requirements , WoS , Web of Science , GPR , Ground Penetrating Radar , SSD , Single Shot Detection , YOLO , You Look Only Once , MIMO , Multiple-Input-Multiple-Output , UWB , Ultra-Wideband , Faster-RCNN , Fast Region-based Convolutional Neural Network , ERT , Electrical Resistance Tomography , LiDAR , Light Detection and Ranging , TLS , Terrestrial Laser Scanning , SARI , Slicing Automatic Rebar Identification , CMOS , Complementary Metal-Oxide-Semiconductor , AR , Augmented Reality , RFID , Radio Frequency Identification , BIM , Building Information Modeling , AFI , Automated Facility Inspection , FCN , Fully Convolutional Networks , XGBoost , Extreme Gradient Boosting , VSLAM , Visual Simultaneous Localization and Mapping , SfM , Structure from Motion , UAV , Unmanned Aerial Vehicle , UGV , Unmanned Ground Vehicle , SBG , Steel Box Girders , PS-InSAR , Permanent Scatterers-Interferometric Synthetic Aperture Radar
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