AN INTEGRATED BIM–GIS METHODOLOGY FOR AS-BUILT INFRASTRUCTURE MODELING AND ANALYSIS: A CASE STUDY
Integrating Building Information Modeling (BIM) and Geographic Information Systems (GIS) remain challenging due to differences in data schemas, coordinate systems and semantic representation. This paper proposes and validates a VN-tailored BIM–GIS workflow for as-built infrastructure modeling that (i) standardizes data exchange using IFC and CityGML, (ii) harmonizes spatial data to the VN-2000 coordinate system, and (iii) automates semantic mapping via FME middleware. The workflow fuses multi-sensor acquisitions (UAV–LiDAR, terrestrial laser scanning — TLS, handheld SLAM, GNSS-RTK and GPR) to produce a high-fidelity digital twin of the University of Transport and Communications (UTC) campus (Hanoi). Geometric validation comprised two stages: point-cloud vs CAD (64.3% of points within ±0.10 m; 86.5% within ±0.30 m) and BIM vs point-cloud (91.4% of points within ±0.05 m), confirming centimeter-level alignment for most elements. The integrated model, deployed in ArcGIS Pro, enables asset tracking, space-use queries and risk analyses (e.g., flood susceptibility), demonstrating operational utility for facility and infrastructure management. The study contributes a practical, policy-relevant pipeline that preserves semantic and geometric fidelity for national-scale applications and outlines directions for automation, semantic interoperability and IoT-enabled digital twins.