3D spatial data are widely used to simulate various urbanistic phenomena, thanks to their valuable semantic, geometric and topologic information. CityGML is a highly adopted data standard for semantic 3D city models, providing a standardized description of the cityscape that enables interoperability across different stakeholders. When future scenarios for urban development are simulated, the simulation results can be visualized and further analysed in synthetically generated 3D city models. However, land use regulation are often overlooked when generating synthetic 3D city models for simulation purposes, despite some regulatory urban constraints having a direct impact on simulation results. For instance, the roof shape is highly correlated with building solar energy potential, while the zoning maximum allowed number of apartments directly influences the buildings' urban density estimation. Therefore, integrating such constructability knowledge within 3D city models is crucial. This thesis proposes a framework for mapping urban planning rules defined in the German XPlanung standard onto 3D city models structured in compliance with CityGML to ensure legislative validity and real-life applicability. One of the use cases that benefit from 3D City models’ richness is urban density simulation. It aims to forecast the housing need based on multicriteria in order to visualize required vertical extension of existing buildings. However, any change of the city scape components in general and buildings particularly is subject to urban regulations. Consequently, the need of a schema that allows validating each geometric or semantic change of the buildings’ components is clear. In this work, we review related scientific contributions, discuss the structure of CityGML and the main elements concerned by urbanistic laws, explain the main concepts of XPlanung, and investigate the mapping of regulatory information with CityGML entities. Furthermore, this thesis provides a conceptual framework for bridging the gap between urban planning regulations and 3D city models, highlighting the importance of a schema-level integration of land use regulations into synthetic 3D city models to improve the accuracy of urban simulations. The proposed approach contributes to ensuring the legislative validity and real-life applicability of 3D city models by incorporating important urban planning regulations defined in XPlanung. How the XPlanung Building area partial surface and Buildable area can enhance the existing semantic, geometric, and topological features of CityGML elements namely the Building, Construction, and land use classes will be detailed. Subsequently and in order to prove the usefulness of the proposed schema level mapping, a case study on urban growth simulation using system dynamics will be conducted as a proof of concept. Thus, ETL tools will be deployed in order to migrate the legislative information to each corresponding CityGML object will be explained. The need and the contribution of urban regulatory limitations within a standardised 3D urban model generally and for urban density growth simulations specifically will be discussed accordingly.     «

3D spatial data are widely used to simulate various urbanistic phenomena, thanks to their valuable semantic, geometric and topologic information. CityGML is a highly adopted data standard for semantic 3D city models, providing a standardized description of the cityscape that enables interoperability across different stakeholders. When future scenarios for urban development are simulated, the simulation results can be visualized and further analysed in synthetically generated 3D city models. Howe...     »