Predicting Cost Overruns in Utility Streetworks
Léon olde Scholtenhuis
This study aims to predict the likelihood of overshooting costs in utility streetworks projects, using historical project data and open datasets.
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This study aims to predict the likelihood of overshooting costs in utility streetworks projects, using historical project data and open datasets.
Read MoreThis study focuses on translating the underground spatial impact of redevelopments in public space, related to heat transition, electric grid upgrading, and climate resilience.
Read MoreUtility 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.
Read MoreTo 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
Read MoreUtiilty 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.
Read MoreThis 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.
Read MoreThis study explores the state-of-practice in 3D modelling at a mid-sized Utility Contractor.
Read MoreWith the introduction of cleaner fuels for vehicles and the arrival of electric cars, also a need for the accompanying charging infrastructure has come into existence. At this moment, charging facilities are mostly placed in the shape of a charging point. Placement often happens after a private e-driver asks for it. With the increasing amount of electric cars, the question if the current method will still work in the future. The goal of this research has therefore been: to develop a future-proof, universally applicable method for the development of charging infrastructure for electric cars in small and medium-sized municipalities in urban areas.
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