This study aims to predict the likelihood of overshooting costs in utility streetworks projects, using historical project data and open datasets.

This study focuses on translating the underground spatial impact of redevelopments in public space, related to heat transition, electric grid upgrading, and climate resilience.

Utility lines can be extracted from point clouds to support further 3D modelling and mapping. Doing this manually is time consuming, Jorn Kruiper investigated how to use machine learning for this task.

To scale up city district heating construction projects, processes need to be developed and reliable. Currently teams largely rely on experience and improvisation, making them skilled in troubleshooting, but less efficient in planning and anticipating disruptions. This thesis has explored anticipation and containment through the lens of HRO

Utiilty construction projects make the transition from being supported by only 2D towards 3D information models. Currently, however, no means exists to support the specification of both semantic as visual information for such networks. The goal of this study therefore to develop a Level of Development (LOD)-framework to support this emerging practice.

This project is aims to validate the developed CityGML Utility ADE Operations and Maintenance data model. To this end Federico encoded the UML diagram (concept model) and implemented this as relational database tables in a PostGreSQL and PostGIS environment.

This study explores the state-of-practice in 3D modelling at a mid-sized Utility Contractor.