Small municipal projects, constrained by resources and extensive management models, commonly face issues of delayed progress and cost overruns. This study uses a road renovation project in a city as an empirical case. By integrating BIM collaborative platforms with real-time IoT monitoring systems, it achieves construction conflict prediction and dynamic resource allocation. Combining rolling planning methods and risk probability models, a “forecast-adaptation” dual-mode management framework is formed. After implementation, the total duration was shortened by 15%, the rework rate decreased by 20%, and inter-departmental communication efficiency improved by 30%. The case validates the effectiveness of digital tools and dynamic mechanisms working together to optimize, aligning with the requirements for refined control outlined in the “Construction Engineering Quantity List Pricing Standard” (GB/T50500-2024). It provides a replicable progress management paradigm for similar projects.
C. L. Philip Chen (Wed,) studied this question.