Digital Twin Planning Framework for Road Maintenance

Road maintenance is critical for safety and efficiency, yet its effectiveness is often hindered by budgetary constraints and fragmented information management (IM). While Digital Twin (DT) technology offers a promising response to these issues, its large-scale adoption is currently limited by a lack of standardised methodolo-gies, particularly for the frequently overlooked planning phase. This study ad-dresses this gap by laying the groundwork for a comprehensive Road DT (RDT) planning framework to support data-driven maintenance decision-making. The research methodology integrates a literature review and systematic content analy-sis with compositional synthesis, analogical reasoning, and a real-world case study to demonstrate the framework’s applicability. The result provides a system-atic roadmap for structuring RDT projects, enabling road authorities to transition toward proactive maintenance strategies and fostering more sustainable, cost-effective, and resilient infrastructure management.