When building an airport, every centimeter matters: from runways to support structures, everything must be perfectly coordinated. Here come two technologies that, on their own, have already changed the way we design: Building Information Modeling (BIM) and Geographic Information Systems (GIS). BIM creates threeβdimensional digital models of the building, packed with data on materials, schedules and costs. GIS, on the other hand, handles spatial data such as terrain topography or flight routes. The new study published in *Future Transportation* combined these two worlds in a threeβstep methodology: first the BIM model is built, then geographic data are defined in GIS, and finally the two systems are integrated. The test was carried out on an airport construction site, where the combination allowed realβtime identification of obstacles and hazards for air navigation. Results show that, thanks to integration, teams can collaborate in a single βdata hubβ, reducing errors and speeding up decisions. However, BIM and GIS structures were created for different purposes, so interoperability is not always smooth: sometimes models must be simplified or formats like IFC translated into CityGML. The authors conclude that, if these technical barriers are overcome, the BIMβGIS union could become the standard for complex projects, enhancing safety and sustainability.
BIMβGIS integration requires defining a semantic interface capable of translating construction model data (IFC β Industry Foundation Classes) into the spatial formats typical of GIS (CityGML, Shapefile, GeoPackage). The first step involves mapping BIM classes (e.g., "IfcWall", "IfcDoor") to geographic entities ("BuildingWall", "BuildingDoor") through shared ontologies such as the Ontology for BIMβGIS Interoperability (OBI). Next, the coordinate systems must be aligned: BIM usually uses local project coordinates, while GIS operates in geographic reference systems (WGS84, UTM). This transformation demands affine transformations and elevation corrections to ensure altitude data consistency, which is crucial for flight path assessment.
In an airport construction management scenario, BIM provides the construction schedule (4D), enabling simulation of work progress and prediction of impacts on airspace. Integrated GIS, enriched with radar, weather, and flight route data, allows spatial risk analysisβfor example, calculating protection zones around temporary structures or lifting equipment. Clash detection can be extended to the GIS 3D domain, identifying potential conflicts between the construction geometry and flight trajectories.
To optimize performance, a cloudβbased common data environment (CDE) supporting RESTful APIs for realβtime data exchange is recommended. Adoption of open standards such as the BIM Collaboration Format (BCF) for issue management and extending GeoServer with BIM plugins facilitate bidirectional synchronization. Finally, model validation requires interoperability testing on reference datasets, for instance the OpenStreetMap dataset for the surrounding territory and the NIST BIM dataset for model quality. Once these technical hurdles are overcome, BIMβGIS integration can support dataβdriven decisions, enhance operational safety, and lower overall project costs.
