AN INTEGRATED BIM–GIS METHODOLOGY FOR AS-BUILT INFRASTRUCTURE MODELING AND ANALYSIS: A CASE STUDY

Abstract

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.