Developing Future Scenarios for the Construction Industry based on New Technologies

Document Type : Research Paper

Authors

1 PhD Student in Architecture, Rasht Branch, Islamic Azad University, Rasht, Iran

2 Associate Professor of Architectural Engineering, Imam Khomeini International University, Qazvin, Iran

3 Assistant Professor of Architecture, Rasht Branch, Islamic Azad University, Rasht, Iran

Abstract

Purpose: The future of the construction industry is increasingly influenced by new technologies. In order to adopt appropriate strategies in facing new technologies, it is necessary to know the possible futures of the construction industry. This research was done with the aim of explaining the technological uncertainties and compiling the future scenarios of the construction industry.
 Method: The research method is applied and was carried out with a combination of quantitative and qualitative methods. First, the library study was used to determine the technological drivers, then the Structural Analysis was used to explain the technological uncertainties, and finally, the Schwartz method was used to compile the scenarios. The statistical population is experts of construction industry.
Findings: Nine technological uncertainties affecting the future of the construction industry have been identified and for each of them, three states of decline, stagnation and progress have been considered. Data analysis by Scenario Wizard shows eight probable scenarios. The portfolio of scenarios including four groups of progress scenarios, towards progress, towards stagnation, and towards wane has been compiled.
Conclusion: In the progress scenario, the 89% of uncertainties have developed. In  towards progress, 56% of the factors are in the development status, which indicates the development of the technological factor application. In the stagnation scenario, no progress has been made in the application of uncertainties and they are in a static state. In towards wane, uncertainties have been placed in a situation of reduced use.

Keywords


Agenbag, H., Amoah, C. (2021). The impact of modern construction technology on the workforce in the construction industry. IOP Conference Series: Earth and Environmental Science. 654.
Alaloul, W.S., Liew, M.S., Wan Abdullah Zawawi, N.A., Kennedy, I.B. (2020). Industrial Revolution 4.0 in the construction industry: Challenges and opportunities for stakeholders. Ain Shams Engineering Journal. 11, 225-230.
Armstrong, G., Allwinkle, E. S. (2017), Architectural Technology: the technology of architecture. Back to the Future: The Next 50 Years (51st International Conference of the Architectural Science Association (ANZAScA)), The Architectural Science Association and Victoria University of Wellington. 803–812.
Babaei Sarouei, M., Danayi, A., Zargar, S.M. (2021). Analyzing the Effect of Social Capital on the Acceptance of Modern Media Technologies (Case Study: Augmented Reality Technology). National Studies Journal. 87(22). 159-181. (In Persian)
Baheti, R., Gill, H. (2011). Cyber-Physical Systems.  IEEE The Impact of Control Technology, 161-166.
Bello, S.A., Oyedele, L.O., Akinade, O.O., Bilal, M., Delgado, J.M.D., Akanbi, L.A., Ajayi, A.O., Owolabi, H.O. (2021). Cloud computing in construction industry: Use cases, benefits and challenges. Automation in Construction. 122.
Chang, S., Francis, M.F., Li, H., Luo, X. (2022). Evolution pathways of robotic technologies and applications in construction. Advanced Engineering Information. V.51
Das, M., Tao, T., Liu, Y., Cheng, J.C.P. (2021). A blockchain-based integrated document management framework for construction applications. Automation in construction.V.133.
Dahbi, A., Laaouan, I., Hajji, R., Ben Brahim, Y. (2022). A Cloud-Based Mobile Augmented Reality Application for BIM Collaboration. Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations. 27-33.
Ernstsen, S. N., Whyte, J., Thuesen, C., & Maier, A. (2021). How Innovation Champions Frame the Future: Three Visions for Digital Transformation of Construction. Journal of Construction Engineering and Management, 147(1),
Forcael, E., Ferrari, I., Opazo-Vega, A., Pulido-Arcas, J.A. (2020). Construction 4.0: A Literature Review. Sustainability. 12(22).
Garbett, J., Hartley, T., Heesom, D. (2021). A multi-user collaborative BIM-AR system to support design and construction. Automation in Construction, 122, 
Ghorbani, S. (2021). Project planning, control and management using building information modeling. Civil and Project Journal. 3(2). 81-95. (In Persian)
Guo, X., Shen, Z., Teng, X., Zhao, Z. (2020). Using virtual reality (VR) simulation to help developing a smart meeting space with AI Product to support moderator. International Conference on Science in Engineering and Technology (ICoSiET 2020).
Huang, S., Xu, W., Li, Y. (2022). The impact of fabrication systems on 3D concrete printing building forms. Frontiers of Architectural research.
Iturrald, K., Pan, W., Linner, T., Bock, T. (2022). Automation and robotic technologies in the construction context: research experiences in prefabricated façade modules. Rethinking Building Skins Transformative Technology and Research Ttajectories: Woodhead publishing series in civil and structural engineering. 475-493.
Kasim, N., Amirah Razali, S., Kasim, R. (2021).  Reinforce Technology IR 4.0 Implementation for Improving Safety Management in Construction Site. International Journal of Sustainable Construction Engineering and Technology. 12(3), 289-298.  
Kavuri, A.S., Soetanto, R., Goodier, C., Murguia, D., Szczygiel, M. (2020). Scenarios for the Digitalisation of the Construction Industry. Proceedings of the 36th Annual ARCOM Conference, 7-8 September. UK, Association of Researchers in Construction Management, 425-434.
Khalil, T. (2017). Technology Management: The Key to Success in Competition and Wealth Creation. Translated by Seyed Mohammad Arabi & Davood Izadi. Tehran: Cultural Research Office. (In Persian)
Kyungki Kim, K., Peavy, M. (2022). BIM-based semantic building world modeling for robot task planning and execution in built environments. Automation in Construction, 138.
Lavikka, R., Kallio, J., Casey, T., Airaksinen, M. (2018). Digital disruption of the AEC industry: technology-oriented scenarios for possible future development paths. Construction Management and Economics. 36(11). 635-650.
Len, T.K., Soon Ern, P.A., Lin, P.Y. (2021). Investigating Significant Issues of BIM Implementation in Industrialised Building System Design and Production Process. International Journal of Sustainable Construction Engineering and Technology. 12(3), 215-226
Manzoor, B., Othman, I., Pomares, J. C. (2021). Digital Technologies in the Architecture, Engineering and Construction (AEC) Industry—A Bibliometric—Qualitative Literature Review of Research Activities. International Journal of Environmental Research and Public Health. 18(11).
Matana, G., Simon, A., Godinho Filho, M., Helleno, Andre. (2020). Method to assess the adherence of internal logistics equipment to the concept of CPS for industry 4.0.  International Journal of Production Economics. 228. 
Noor Akmal Adillah,I., Mohd Nazareth, M.Y., Hamimah, A.  (2021). BIM Adoption in Managing Construction Risks Amongst Malaysian Quantity Surveyors: Current Practice and Challenges. Journal of Sustainable Construction Engineering and Technology. 12(3), 166-175.
Olsson, N. O. E., Arica, E., Woods, R., Madrid, J. A. (2021). Industry 4.0 in a project context: Introducing 3D printing in construction projects. Project Leadership and Society. 2.
Perrier, N., Bled, A., Bourgault, M., Cousin, N., Danjou, C., Pellerin, R., Roland, T. (2020). Construction 4.0: a survey of research trends. Journal of Information Technology in Construction (ITcon), Vol. 25, pg. 416-437,
Regona, M., Yigitcanlar, T., Xia, B., Li, R.Y.M., (2022). Artificial intelligent technologies for the construction industry: How are they perceived and utilized in Australia?. Journal of open innovation: Technology, Market and complexity. 8(16).
Schwab, K. (2016). The Fourthy Industrial Revolution. Translated by Iraj Nabipour. Bushehr: Publication of Bushehr University of Medical Sciences and Health Services. (In Persian)
Schwartz, P. (2013). The Art of The Long View: Planning for The Future in an Uncertain World. Translated by Aziz Alizadeh. Tehran: Defense Industries Educational and Research Institute, Center for Future Studies in Defense Science and Technology. (In Persian)
Singh, B., Asati, A. K., Kumar, R. (2021). Evaluation of the Cooling Potential of Earth Air Heat Exchanger Using Concrete Pipes. International Journal of Thermophysics, 42.
Tahmasebinia, F., Sepasgozar, S.M.E., Shirowzhan, S., Niemela, M., Tripp, A., Nagabhyrava, S., Ko, K., Mansuri, Z., Alonso-Marroquin, F. (2020). Criteria development for sustainable construction manufacturing in Construction Industry 4.0: Theoretical and laboratory investigations. Construction Innovation, 20(3), 379-400.
Takhshid, Z. (2021). An Introductory Study on the Challenges of Artificial Intelligence in Tort Law. Private law. 18(1).  227-250. (In Persian)
Tetik, M., Peltokorpi, A., Seppänen, O., Holmstrom, J. (2019). Direct Digital Construction: Technology-Based Operations Management Practice for Continuous Improvement of Construction Industry performance. Automation in Construction. 107, 1-13.
Thi Huong, Q. T., Quang, P.l., Hoai, N.L. (2021). Applying Bim and Related Technologies for Maintenance and Quality Management of Construction Assets in Vietnam. International Journal of Sustainable Construction Engineering and Technology. 12(5), 125-135.
Woo, J., Shin, S., Asutosh, A. T., Li, J., Kibert, C.J. (2020). An Overview of State of the Art Technologies for Data-Driven Construction. Proceedings of the 18th International Conference on Computing in Civil and Building Engineering. 1323-1334.
World Economic Forum, (2018).  Shaping the Future of Construction: Future Scenarios and Implications for the Industry.
Xu, Y., Chung, H.Y., Chi, M. (2022). Blockchain in the AECO industry: Current status, key topics, and future research agenda. Automation in Construction. V.134.
Zhong, R. Y., Xu, X., Klotz, E., Newman, S. T. (2017). Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering. 3(5), 616–630.