Digital Transformation in Road Maintenance Management: Drivers, Barriers and a Readiness Framework
Authors
Faculty of Civil Engineering Technology, Universiti Malaysia Pahang Al- Sultan Abdullah, Pahang (Malaysia)
Faculty of Civil Engineering Technology, Universiti Malaysia Pahang Al- Sultan Abdullah, Pahang (Malaysia)
Faculty of Civil Engineering Technology, Universiti Malaysia Pahang Al- Sultan Abdullah, Pahang (Malaysia)
Faculty of Civil Engineering Technology, Universiti Malaysia Pahang Al- Sultan Abdullah, Pahang (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2026.100600427
Subject Category: Management
Volume/Issue: 10/6 | Page No: 6119-6132
Publication Timeline
Submitted: 2026-06-05
Accepted: 2026-06-10
Published: 2026-06-25
Abstract
Road maintenance management is important for ensuring the sustainability of infrastructures, road safety, and effective transportation systems. Nevertheless, the current issues faced by road agencies include inadequate resources, aging assets, fragmented data environments, and increasing maintenance demands. In this regard, digital transformation can be viewed as an opportunity for improving maintenance activities and managing assets more efficiently. This study aims to identify the drivers and barriers associated with digital transformation initiatives and to develop a Digital Readiness Framework for Smart Road Maintenance Management. To achieve that, the conceptually driven methodological framework was selected to critically examine and analyse available literature on such topics as digital transformation, road maintenance management, smart infrastructures, Building Information Modelling (BIM), Internet of Things (IoT), digital twins, data governance, and asset management. Specifically, thematic analysis technique was used for grouping the findings of the conceptual review into three categories: drivers of digital transformation, implementation barriers, and dimensions of digital readiness. Overall, four drivers were highlighted including improved operational efficiency, enhanced decision-making process using data analytics, improvement of services offered, and sustainable infrastructure management. In turn, four implementation barriers included organizational problems, human resource limitations, technological constraints, and finance and governance constraints. Using findings from the literature review, a Digital Readiness Framework for Smart Road Maintenance Management, which includes organisational readiness, human readiness, technological readiness, and policy readiness, was formulated. The proposed model underscores the connection between transformation drivers, implementation challenges, and the readiness factors necessary for facilitating effective digital transformation. It is evident that digital transformation involves more than mere technology uptake and calls for a comprehensive understanding of organisational, human, technological, and policy requirements necessary to make digital transformation feasible. The proposed framework provides valuable insights into the topic of digital transformation in infrastructure management and can be used by road organisations to adopt innovative road maintenance management practices.
Keywords
Digital Transformation; Road Maintenance Management; Smart Infrastructure; Digital Readiness Framework; Asset Management
Downloads
References
1. G. G. Ayalew, M. G. Meharie, and B. Worku, “A road maintenance management strategy evaluation and selection model by integrating Fuzzy AHP and Fuzzy TOPSIS methods: The case of Ethiopian Roads Authority,” Cogent Engineering, vol. 9, no. 1, 2022, doi: 10.1080/23311916.2022.2146628. [Google Scholar] [Crossref]
2. K. Sandamal and H. Pasindu, “A Multi-Objective Optimization Approach for Low Volume Rural Road Maintenance Management Incorporating Socioeconomic Importance,” International Journal of Pavement Research and Technology, vol. 18, no. 6, pp. 1600–1607, 2025, doi: 10.1007/s42947-024-00424-0. [Google Scholar] [Crossref]
3. M. Ghanbari and Z. K. Hasani, “Key Success Factors in Road Maintenance Management Projects (a Case Study of Maysan Province, Iraq),” IIUM Engineering Journal, vol. 25, no. 1, pp. 102–114, 2024, doi: 10.31436/iiumej.v25i1.2870. [Google Scholar] [Crossref]
4. A. R. H. Triyono, W. T. Hermani, N. S. Amrulloh, and A. Setyawan, “Improved Road Performance Through the Implementation of Routine Road Maintenance Management System,” Journal of Applied Engineering Science, vol. 22, no. 3, pp. 646–653, 2024, doi: 10.5937/jaes0-50995. [Google Scholar] [Crossref]
5. N. T. T. Dung, P. T. Tuyet, and D. Van Thuan, “Road Maintenance Administration in Vietnam: Problems and Solutions,” International Journal of Sustainable Construction Engineering and Technology, vol. 12, no. 5, pp. 39–52, 2021, doi: 10.30880/ijscet.2021.12.05.005. [Google Scholar] [Crossref]
6. M. Gaber, A. Diab, E. Elbeltagi, and A. M. Wahaballa, “Integrated Safety-Pavement Maintenance Management System (SPMS) for Local Authorities in Egypt,” Journal of Engineering Sciences, vol. 51, no. 2, pp. 125–147, 2023, doi: 10.21608/jesaun.2023.175063.1182. [Google Scholar] [Crossref]
7. N. Jajac and A. Bošnjak, “Sustainable Approach to Nonurban Road Network Maintenance Management: Herzegovina-Neretva County, B&H Case Study,” Applied Sciences (Switzerland), vol. 13, no. 4, 2023, doi: 10.3390/app13042679. [Google Scholar] [Crossref]
8. A. Meiliana, A. Amatory, Y. Astor, R. Septian, and G. Munawar, “Road Maintenance Management Based on Geographic Information System (GIS),” International Journal on Advanced Science Engineering Information Technology, vol. 13, no. 6, 2023, doi: 10.18517/ijaseit.13.6.19390. [Google Scholar] [Crossref]
9. S. Znobishchev and V. Shamraeva, “Practical use of BIM modeling for road infrastructure facilities,” Architecture and Engineering, vol. 4, no. 3, pp. 49–54, 2019, doi: 10.23968/2500-0055-2019-4-3-49-54. [Google Scholar] [Crossref]
10. G. Mao, Y. Hui, X. Ren, C. Li, and Y. Shao, “The Internet of Things for Smart Roads: A Road Map From Present to Future Road Infrastructure,” IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 6, pp. 66–76, 2022, doi: 10.1109/MITS.2021.3115126. [Google Scholar] [Crossref]
11. R. Chen, L. Gao, Y. Liu, Y. L. Guan, and Y. Zhang, “Smart Roads: Roadside Perception, Vehicle-Road Cooperation, and Business Model,” IEEE Network, vol. 39, no. 3, pp. 311–318, 2025, doi: 10.1109/MNET.2024.3483212. [Google Scholar] [Crossref]
12. F. Gaspari, D. Carrion, and L. Pinto, “Geomatics and open-source for road infrastructure management: standards, technologies, and future directions,” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives), vol. 48, no. 4/W20-2025, pp. 25–31, 2026, doi: 10.5194/isprs-archives-XLVIII-4-W20-2025-25-2026. [Google Scholar] [Crossref]
13. P. Brous and M. Janssen, “Trusted decision-making: Data governance for creating trust in data science decision outcomes,” Administrative Sciences, vol. 10, no. 4, 2020, doi: 10.3390/admsci10040081. [Google Scholar] [Crossref]
14. Y. Jabareen, “Building a Conceptual Framework: Philosophy, Definitions, and Procedure,” International Journal of Qualitative Methods, vol. 8, no. 4, pp. 49–62, 2009, doi: 10.1177/160940690900800406. [Google Scholar] [Crossref]
15. H. Snyder, “Literature review as a research methodology: An overview and guidelines,” Journal of Business Research, vol. 104, pp. 333–339, 2019, doi: 10.1016/j.jbusres.2019.07.039. [Google Scholar] [Crossref]
16. S. Soni and R. Saini, “Digital Transformation of Project and Operations Management in Smart Infrastructure and Engineering Enterprises,” Archives for Technical Sciences, vol. 3, no. 34, pp. 372–380, 2025, doi: 10.70102/afts.2025.1834.372. [Google Scholar] [Crossref]
17. D. Maletič, M. Grabowska, and M. Maletič, “Drivers and Barriers of Digital Transformation in Asset Management,” Management and Production Engineering Review, vol. 14, no. 1, pp. 118–126, 2023, doi: 10.24425/mper.2023.145370. [Google Scholar] [Crossref]
18. H. Li and H. Fu, “Digital infrastructure, green technology innovation, and environmental sustainability: Evidence from China’s resource-based cities,” Green Technologies and Sustainability, vol. 4, no. 2, p. 100332, 2026, doi: 10.1016/j.grets.2025.100332. [Google Scholar] [Crossref]
19. K. S. Basnet, J. K. Shrestha, and R. N. Shrestha, “Pavement performance model for road maintenance and repair planning: a review of predictive techniques,” Digital Transportation and Safety, vol. 2, no. 4, pp. 253–267, 2023, doi: 10.48130/DTS-2023-0021. [Google Scholar] [Crossref]
20. S. Setty and J. Devpura, “Increasing Asset Management Capabilities of Local Authorities in Sri Lanka,” International Society of Engineering Asset Management, 2024, doi: 10.1007/978-3-031-59042-9. [Google Scholar] [Crossref]
21. Y. Zheng, K. Li, S. Ge, Z. Wang, and X. Zhi, “Research on Static-Dynamic Indicator System and Data Requirements for Digital Transformation of Traffic Safety Facilities,” Advances in Transdisciplinary Engineering, vol. 79, pp. 790–796, 2025, doi: 10.3233/ATDE251064. [Google Scholar] [Crossref]
22. O. E. Aleca and F. Mihai, “The Role of Digital Infrastructure and Skills in Enhancing Labor Productivity: Insights from Industry 4.0 in the European Union,” Systems, vol. 13, no. 2, 2025, doi: 10.3390/systems13020113. [Google Scholar] [Crossref]
23. I. K. Permatasari, I. D. C. Arifah, R. N. H. Putri, J. Nugraha, and F. Nurafin, “Organizational Capabilities for Successful Industrial Digitalization: A Framework for Transformation in Indonesia,” Paper Asia, vol. 42, no. 2, pp. 1–13, 2026, doi: 10.59953/paperasia.v42i2b.838. [Google Scholar] [Crossref]
24. D. K. Das, “Exploring the Symbiotic Relationship between Digital Transformation, Infrastructure, Service Delivery, and Governance for Smart Sustainable Cities,” Smart Cities, vol. 7, no. 2, pp. 806–835, 2024, doi: 10.3390/smartcities7020034. [Google Scholar] [Crossref]
25. A. Consilvio et al., “Towards a digital twin-based intelligent decision support for road maintenance,” Transportation Research Procedia, vol. 69, pp. 791–798, 2023, doi: 10.1016/j.trpro.2023.02.237. [Google Scholar] [Crossref]
26. C. Gao, L. Jia, M. Sun, and J. Luo, “Current Status and Future Prospects of Digital Twin Technology Applications in Intelligent Transportation Infrastructure Management,” IET Intelligent Transport Systems, vol. 19, no. 1, pp. 1–22, 2025, doi: 10.1049/itr2.70011. [Google Scholar] [Crossref]
27. A. M. Shirwa, A. M. Hassan, A. Q. Hassan, and M. Kilinc, “A cooperative governance framework for sustainable digital transformation in construction: The role of digital enablement and digital strategy,” Results in Engineering, vol. 25, p. 104139, 2025, doi: 10.1016/j.rineng.2025.104139. [Google Scholar] [Crossref]
28. K. Nagy, B. Bringye, and Z. K. Lakner, “Advancing Efficiency and Sustainability in Road Construction: A Bibliometric Review of Recent Innovations and Challenges,” Applied Sciences (Switzerland), vol. 16, no. 3, pp. 1–19, 2026, doi: 10.3390/app16031205. [Google Scholar] [Crossref]
29. M. D. L. A. Ortega-Del-Rosario et al., “AI-Enhanced Manufacturing in Latin America: Opportunities, Challenges, Applications, and Regulatory Policy Frameworks for Intelligent Production Systems,” Applied Sciences (Switzerland), vol. 15, no. 20, pp. 1–54, 2025, doi: 10.3390/app152011056. [Google Scholar] [Crossref]
30. M. Hamma-Adama, A. C. Chijioke, and N. X. Mashwama, “Challenges of Road Asset Management: Road Maintenance, Techniques, Materials, and Methods,” Proceedings of International Structural Engineering and Construction, vol. 12, no. 1, pp. 1–6, 2025, doi: 10.14455/ISEC.2025.12(1).CON-07. [Google Scholar] [Crossref]
31. E. Suprun, S. Roumi, S. Mohamed, and R. A. Stewart, “Digital transformation maturity assessment framework for large infrastructure asset owners,” Digital Engineering, vol. 1, p. 100003, 2024, doi: 10.1016/j.dte.2024.100003. [Google Scholar] [Crossref]
32. R. Sutriadi, A. Ramadhan, and N. Budisiswanto, “Beyond City Branding: The Emergence of Soft Infrastructure in Digital Transformation towards Urban Planning Research Roadmap Reformulation,” International Journal of Advanced Science Engineering Information Technology, vol. 13, no. 3, pp. 1163–1169, 2023, doi: 10.18517/ijaseit.13.3.17153. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- The Indirect Effect of Liquidity and Activity on Company Value with Profitability as an Intervening Variable
- Effect of Financial Skills, Knowledge, and Attitude on The Financial Behaviour of Clergy
- A Decade of Review: Trends in Budget Execution and Financial Performance of Development Projects in Tanzania (2014/15-2023/24)
- The Influence of Pre-Project Planning on the Budget Absorption Rate of Public Funded Infrastructure Projects in Kenya a Comparative Case Study of Narok, Migori, and Kisii County Government Projects
- Assessment of Factors Influencing Digital Transformation in Hotels’ Facility Management in Abuja Metropolis, Nigeria