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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67529
Volume:
10 |
9 |
Sep 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Civil Engineering
Sau Sundarabai Manik Adsul Polytechnic,Chas
Civil Engineering
Sau Sundarabai Manik Adsul Polytechnic,Chas
Civil Engineering
Sau Sundarabai Manik Adsul Polytechnic,Chas
Civil Engineering
Sau Sundarabai Manik Adsul Polytechnic,Chas
Civil Engineering
Sau Sundarabai Manik Adsul Polytechnic,Chas
Digital transformation is increasingly influencing the construction and infrastructure sector by connecting project information, people, equipment and decision-making through digital technologies. In road construction, technologies such as Building Information Modeling (BIM), Geographic Information Systems (GIS), Internet of Things (IoT), Artificial Intelligence (AI), drones, Global Positioning System (GPS), cloud computing and digital twins can improve planning, surveying, construction monitoring, quality control, safety and maintenance. However, adoption is not automatic. High initial investment, shortage of skilled personnel, fragmented project teams, interoperability issues, cybersecurity, poor connectivity and resistance to organizational change can slow implementation. This paper reviews the role of digital transformation in road construction, examines its benefits and challenges, and proposes a practical phased approach for construction companies. The study concludes that successful digital transformation depends not only on technology but also on people, processes, data standards, training and management commitment.
KEYWORDS
Digital transformation offers a significant opportunity to modernize road construction by improving how project information is collected, shared and used. BIM, GIS, IoT, AI, drones, GPS, cloud platforms and digital twins can contribute to better planning, productivity, quality, safety and asset management. Nevertheless, successful transformation requires more than technology. Companies must address skills, processes, interoperability, data quality, cybersecurity and organizational change. A phased approach based on pilot projects, clear KPIs and continuous training can help road construction companies achieve practical and sustainable digital transformation.
• Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2018). BIM Handbook: A Guide to Building Information Modeling for Owners, Designers, Engineers, Contractors, and Facility Managers. Wiley. • ISO 19650-1:2018. Organization and digitization of information about buildings and civil engineering works, including building information modelling (BIM) — Information management using building information modelling — Part 1: Concepts and principles. International Organization for Standardization. • ISO 19650-2:2018. Organization and digitization of information about buildings and civil engineering works, including BIM — Information management using BIM — Part 2: Delivery phase of the assets. International Organization for Standardization. • World Economic Forum. (2016). Shaping the Future of Construction: A Breakthrough in Mindset and Technology. • McKinsey Global Institute. (2017). Reinventing Construction: A Route to Higher Productivity. • Oesterreich, T. D., & Teuteberg, F. (2016). Understanding the implications of digitisation and automation in the context of Industry 4.0 for the construction industry. Computers in Industry, 83, 121–139. • Sacks, R., Eastman, C., Lee, G., & Teicholz, P. (2018). BIM Handbook. Wiley. • Bilal, M., Oyedele, L. O., Qadir, J., et al. (2016). Big Data in the construction industry: A review of present status, opportunities, and future trends. Advanced Engineering Informatics, 30(3), 500–521. • Pan, Y., & Zhang, L. (2021). Roles of artificial intelligence in construction engineering and management: A critical review and future trends. Automation in Construction, 122, 103517.
Publication Date
9/28/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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