Combining reality capture technologies such as LiDAR, high resolution imagery and photogrammetry creates a complete, photorealistic 3D model of a tunnel network in incredible detail. This resulting data model is a digital replica of the geometry and texture of a tunnel down to a 1mm resolution and enables engineers to get to work on virtual inspections. This means detecting, mapping and cataloguing defects to determine the condition state of the tunnel at a point in time. All defects are spatially referenced in their 3D location, making it now simple to detect change over time through subsequent reality data capture in the future. But how else can we use this data to improve operations? With advancement in cloud based 3D visualisation, these huge geospatial datasets are now accessible via weblink, and can be shared across multiple business divisions, initiating secondary use cases such as pavement analysis, 3D simulation and virtual location of maintainable assets within the network. But also, this base layer of the 'Digital Twin' can now be connected to other spatial and non-spatial data, such as IoT sensors, asset registers and other business processes, enabling data driven decisions in 3D location, space and time for operation, maintenance and engineering activities. In this session, attendees will learn about the value proposition of geospatial data for tunnels through real world use case examples of tunnels in road transport and rail.