Urban freight transport is a critical yet complex component of city logistics, shaped not only by transport networks but also by the morphological structure of urban areas. Traditional forecasting models often neglect this spatial heterogeneity, relying primarily on traffic counts or infrastructure topology. This thesis proposes and evaluates ST-SimNet, a Spatio-Temporal Simulation Network designed to enhance freight flow prediction by integrating static urban morphology descriptors with dynamic freight data in a graph neural network framework. Focusing on the city of Amsterdam, the study explores the extent to which detailed urban morphology, including building features, land use, and spatial layout, can improve short-term freight flow forecasts at the road network level. Results demonstrate that incorporating static features significantly reduces error variance, improves peak hour prediction, and enhances node-level stability compared to dynamic-only baselines. Furthermore, analysis reveals that nodes with richer morphology information benefit most, while areas with sparse or noisy static features experience challenges that highlight opportunities for future refinement. The findings offer practical insights for integrating machine learning into digital twin platforms for urban mobility, providing a data-driven, spatially aware layer for freight forecasting in operational city planning systems. Limitations and future directions, including adaptive fusion mechanisms and cross-city generalisation, are discussed. Overall, ST-SimNet advances the integration of urban morphology into spatio-temporal predictive models and demonstrates its practical relevance for modern freight planning in complex urban environments.

This report documents the development of Delft3D, a web-based 3D application, designed to visualise Delft’s urban features—such as buildings, vegetation, and water bodies—using open datasets. Developed for the Municipality of Delft, Delft3D customises the Netherlands3D platform to provide accessible, interactive visualisation for residents and employees of the municipality. This report primarily focuses on the process of development and only explains the implemented features conceptually. After the explanation, we provide a concise reflection on the hurdles we faced during the project and we give an overview of the limiting factors.

The symbolic and meaningful richness of the architecture of commemoration reminds us of important events in the history of mankind, mixing past realities with present-day meta worlds largely created by architecture and place, as well as exhibitions, objects, or even our own experiences. Semiotic opulence, and therefore also the narrative richness of architecture and objects has a role that can mutually reinforce the message, which in practice occurs moderately often. With the help of four case studies, I tried to define strong elements that initiate a dialogue or conduct a monologue with the recipient. Through the following comparison of the examined objects and their features, partial conclusions characterizing each project were drawn, and then they were put together in order to answer the question about the hierarchy of the narrative of the architecture of remembrance and historical artifacts. The consistency of all forms of communication is very important for the overall impact on the recipient. The cooperation between artists and architects during the design of the memorials turned out to have a significant impact on emotions and thoughts. The completeness of the achieved narratives often means that the boundaries between architecture and objects blur. The presence of both components adds to the strength of the media’s transfer.