@misc{9223040,
  abstract     = {{Environmental simulations are increasingly used in urban planning to assess parameters that influence adequate living conditions in densification projects, such as daylight access, noise exposure, wind comfort, and flood risk. These simulations rely on geospatial data and on the representation of the urban environment through 3D city models. However, in current planning practice, simulation results are still predominantly delivered to urban planners in static PDF-format, which limits interactivity and effective analysis.
This thesis investigates how environmental simulation results linked to semantic and standardized 3D city models can be visualized to better support urban planning processes. The study focuses on the use of standardized 3D city models, based on the CityGML standard and the Swedish 3CIM specification, stored and managed in a database environment using 3DCityDB. Starting with semi-structured interviews with urban planners to define requirements for visualization tools. Based on these requirements, existing visualization platforms were evaluated, and a web-based visualization tool was designed and implemented.
The developed tool integrates simulation and interactive visualization through CesiumJS and 3D Tiles. Key functionalities include scenario comparison, filtering and access to simulation metadata. The tool was evaluated through a case study in Malmö, Sweden, using simulation results for daylight, noise, wind and flood.
The results indicate that linking simulation outcomes to standardized semantic 3D city models stored in a database improves data integration, consistency, and reuse. The storage of simulation outputs within standard 3D city models in 3DCityDB proved to optimize interoperability and the creation of intuitive, user-friendly visualizations. 
Interactive 3D visualization enhances urban planners’ ability to analyse, compare, and communicate simulation results, improving simulation-based decision-making in urban planning. Future work could include integrating a broader range of simulations and scenarios and further developing standardised workflows to incorporate this tool in the urban planning process.}},
  author       = {{Santos Motta, Amanda}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master Thesis in Geographic Information Science}},
  title        = {{Visualization Tools for Simulation Results Based on 3D City Models: An Urban Planner-Focused Study}},
  year         = {{2026}},
}