Journal of Information Technology in Construction
ITcon Special Issue
The future of construction in the context of digital transformation (CONVR 2022)
editor(s) | Chansik Park
School of Architecture and Building Science, Chung Ang University, South Korea; cpark@cau.ac.kr Nashwan Dawood School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough, UK; n.n.dawood@tees.ac.uk Farzad Pour Rahimian School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough, UK; f.rahimian@tees.ac.uk Akeem Pedro School of Architecture and Building Science, Chung Ang University, South Korea; lanrepedro3@cau.ac.kr |
summary | This special issue of Information Technology in Construction is dedicated to exploring the future of construction in the context of digital transformation. The inspiration for this edition stemmed from the 22nd International Conference on Construction Applications of Virtual Reality (CONVR 2022), which was held at Chung-Ang University in Seoul, South Korea. The overarching theme for CONVR 2022 was “The future of construction in the context of digital transformation and decarbonization”. With over 200 participants attending in person and many more joining online, the conference served as a platform for researchers to present innovative work on VR/AR, BIM, digital twins, IoT, artificial intelligence, construction automation, circular economy, and sustainability in the construction industry. The wealth of knowledge shared during the conference prompted us to invite the authors of outstanding papers to expand their contributions for publication in this special issue. The editors hope that this collection of articles will offer a glimpse into the current state of research on digitalization in the construction industry, and that it will serve as a valuable reference source for further research. |
Papers in this special issue
no. | citation |
1 | Park C, Dawood N, Rahimian F P, Pedro A (2023). SPECIAL ISSUE EDITORIAL: The future of construction in the context of digital transformation (CONVR 2022), ITcon Vol. 28, Special issue The future of construction in the context of digital transformation (CONVR 2022), pg. 515-518, doi:10.36680/j.itcon.2023.026 |
2 | Disney O, Roupé M, Johansson M, Ris J, Höglin P (2023). Total BIM on the construction site: a dynamic single source of information, ITcon Vol. 28, Special issue The future of construction in the context of digital transformation (CONVR 2022), pg. 519-538, doi:10.36680/j.itcon.2023.027 |
3 | Anifowose H, Alhazzaa K, Dixit M (2023). ENERGYSIM: techniques for advancing building energy education through immersive virtual reality (VR) simulation, ITcon Vol. 28, Special issue The future of construction in the context of digital transformation (CONVR 2022), pg. 539-554, doi:10.36680/j.itcon.2023.028 |
4 | Girgin S, Fruchter R, Fischer M (2023). A case study towards assessing the impact of mixed reality-based inspection and resolution of MEP issues during construction, ITcon Vol. 28, Special issue The future of construction in the context of digital transformation (CONVR 2022), pg. 555-570, doi:10.36680/j.itcon.2023.029 |
5 | Yogeeswaran K, Chen Q, García de Soto B (2023). Utilizing augmented reality for the assembly and disassembly of panelized construction, ITcon Vol. 28, Special issue The future of construction in the context of digital transformation (CONVR 2022), pg. 571-584, doi:10.36680/j.itcon.2023.030 |
6 | Dossick C S, Snider M, Osburn L (2023). Operations, IT, and construction time orientations and the challenges of implementing IOT, ITcon Vol. 28, Special issue The future of construction in the context of digital transformation (CONVR 2022), pg. 585-596, doi:10.36680/j.itcon.2023.031 |
7 | Nagatoishi M, Fruchter R (2023). Construction management in space: explore solution space of optimal schedule and cost estimate, ITcon Vol. 28, Special issue The future of construction in the context of digital transformation (CONVR 2022), pg. 597-621, doi:10.36680/j.itcon.2023.032 |
8 | Sari M, Berawi M A, Zagloel T Y, Madyaningarum N, Miraj P, Pranoto A R, Susantono B, Woodhead R (2023). Machine learning-based energy use prediction for the smart building energy management system, ITcon Vol. 28, Special issue The future of construction in the context of digital transformation (CONVR 2022), pg. 622-645, doi:10.36680/j.itcon.2023.033 |