Chapter
Mar 18, 2024

Achieving Project Objectives and Improving Functions: The Benefits of AI and Construction Technologies

Publication: Construction Research Congress 2024

ABSTRACT

The construction industry is increasingly incorporating Artificial Intelligence (AI) and construction technologies into projects. However, it lags behind other industries in terms of digital transformation. One of the reasons for this disparity is the lack of evidence-based information on AI and technologies in construction projects. Hence, this research aims to comprehensively understand the benefits of AI techniques and construction technologies and their role in achieving objectives and improving functions. To this end, the authors followed a three-step research methodology. Firstly, an extensive literature review was conducted to identify 4 AI techniques, 13 construction technologies, and 28 benefits relevant to their implementation in construction projects. Secondly, a social network analysis (SNA) was performed to validate and confirm the findings from the literature. Finally, an industry-based survey was distributed among 52 construction practitioners to achieve two main objectives: (1) assess the benefits of AI and technology and their influence on different project objectives, and (2) quantify the potential improvement in project functions resulting from their adoption. Study results offer evidence-based information on the impact of AI techniques and construction technologies on construction project objectives and help construction practitioners in assessing the benefits that AI and construction technologies can bring to their projects.

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REFERENCES

Abdul Nabi, M., and El-adaway, I. H. (2021). Understanding the key risks affecting cost and schedule performance of modular construction projects. Journal of Management in Engineering, 37(4), 04021023.
Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Delgado, J. M. D., Bilal, M., and Ahmed, A. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44, 103299.
Abotaleb, I. S., and El-adaway, I. H. (2018). Managing construction projects through dynamic modeling: Reviewing the existing body of knowledge and deriving future research directions. Journal of management in engineering, 34(6), 04018033.
Abotaleb, I. S., El-adaway, I. H., Ibrahim, M. W., Hanna, A. S., and Russell, J. S. (2019). Causes, early warning signs, and impacts of out-of-sequence construction: Expert-based survey analysis. Journal of Management in Engineering, 35(6), 04019030.
Akroush, N. S., and El-Adaway, I. H. (2017). Utilizing construction leading safety indicators: Case study of Tennessee. Journal of Management in Engineering, 33(5), 06017002.
Baduge, S. K., Thilakarathna, S., Perera, J. S., Arashpour, M., Sharafi, P., Teodosio, B., and Mendis, P. (2022). Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications. Automation in Construction, 141, 104440.
Blanco, J. L., Fuchs, S., Parsons, M., and Ribeirinho, M. J. (2018). Artificial intelligence: Construction technology’s next frontier. Building Economist, The, (Sep 2018), 7–13.
Boje, C., Guerriero, A., Kubicki, S., and Rezgui, Y. (2020). Towards a semantic Construction Digital Twin: Directions for future research. Automation in construction, 114, 103179.
Chen, L., and Luo, H. (2014). A BIM-based construction quality management model and its applications. Automation in construction, 46, 64–73.
Chou, J. S., Lin, C. W., Pham, A. D., and Shao, J. Y. (2015). Optimized artificial intelligence models for predicting project award price. Automation in construction, 54, 106–115.
Cochran, W. G. (1977). Sampling techniques. 3rd ed. New York: Wiley.
Darko, A., Chan, A. P., Adabre, M. A., Edwards, D. J., Hosseini, M. R., and Ameyaw, E. E. (2020). Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities. Automation in Construction, 112, 103081.
El-adaway, I. H., Ali, G., Assaad, R., Elsayegh, A., and Abotaleb, I. S. (2019). Analytic overview of citation metrics in the civil engineering domain with focus on construction engineering and management specialty area and its subdisciplines. Journal of construction engineering and management, 145(10), 04019060.
Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks. 1(3): 215–239.
Hajirasouli, A., Banihashemi, S., Drogemuller, R., Fazeli, A., and Mohandes, S. R. (2022). Augmented reality in design and construction: thematic analysis and conceptual frameworks. Construction Innovation, (ahead-of-print).
Irizarry, J., Karan, E. P., and Jalaei, F. (2013). Integrating BIM and GIS to improve the visual monitoring of construction supply chain management. Automation in construction, 31, 241–254.
Jang, Y., Kim, K., Leite, F., Ayer, S., and Cho, Y. K. (2021). Identifying the perception differences of emerging construction-related technologies between industry and academia to enable high levels of collaboration. Journal of Construction Engineering and Management, 147(10), 06021004.
Jin, R., Gao, S., Cheshmehzangi, A., and Aboagye-Nimo, E. (2018). A holistic review of off-site construction literature published between 2008 and 2018. Journal of cleaner production, 202, 1202–1219.
Li, Y., and Liu, C. (2019). Applications of multirotor drone technologies in construction management. International Journal of Construction Management, 19(5), 401–412.
Mahmudnia, D., Arashpour, M., and Yang, R. (2022). Blockchain in construction management: Applications, advantages and limitations. Automation in Construction, 140, 104379.
McCarthy, J., Minsky, M. L., Rochester, N., and Shannon, C. E. (2006). A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955. AI magazine, 27(4), 12–12.
Moselhi, O., Hegazy, T., and Fazio, P. (1991). Neural networks as tools in construction. Journal of construction engineering and management, 117(4), 606–625.
Onososen, A. O., and Musonda, I. (2022). Perceived Benefits of Automation and Artificial Intelligence in the AEC Sector: An Interpretive Structural Modeling Approach. Frontiers in built environment, 8.
Otte, E., and Rousseau, R. (2002). Social network analysis: a powerful strategy, also for the information sciences. Journal of information Science, 28(6), 441–453.
Pan, Y., and Zhang, L. (2021). Roles of artificial intelligence in construction engineering and management: A critical review and future trends. Automation in Construction, 122, 103517.
Regona, M., Yigitcanlar, T., Xia, B., and Li, R. Y. M. (2022). Opportunities and adoption challenges of AI in the construction industry: a PRISMA review. Journal of open innovation: technology, market, and complexity, 8(1), 45.
Sacks, R., Koskela, L., Dave, B. A., and Owen, R. (2010). Interaction of lean and building information modeling in construction. Journal of construction engineering and management, 136(9), 968–980.
Shamseer, L., Moher, D., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., and Stewart, L. A. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. Bmj, 349.
Zhu, H., Hwang, B. G., Ngo, J., and Tan, J. P. S. (2022). Applications of smart technologies in construction project management. Journal of Construction Engineering and Management, 148(4), 04022010.

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Construction Research Congress 2024
Pages: 1 - 11

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Published online: Mar 18, 2024

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Fareed Salih [email protected]
1Ph.D. Student, Dept. of Civil, Architectural, and Environmental Engineering, Missouri Univ. of Science and Technology, Rolla, MO. Email: [email protected]
Islam H. El-adaway [email protected]
2Hurst-McCarthy Professor of Construction Engineering and Management, Professor of Civil Engineering, and Founding Director of Missouri Consortium of Construction Innovation, Dept. of Civil, Architectural, and Environmental Engineering and Dept. of Engineering Management and Systems Engineering, Missouri Univ. of Science and Technology, Rolla, MO. Email: [email protected]

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