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The video shows the wind velocity distribution at pedestrian level in a region of Sofia's city centre for wind coming from the north-northwest direction. The analysis is carried out in Аnsys® multiphysics software, and for better immersion in the urban environment, the results are visualised also in Unreal Engine®. The areas marked in blue indicate lower speeds or stagnant air, while areas marked in red show higher flow speeds and better ventilation. Such analyses can support urban planning decisions, such as identifying suitable locations for greenery and recreational areas or adjusting building and street layouts to enhance pedestrian comfort and safety. The GATE Institute team expresses its gratitude to Orfeas Eleftheriou and to the Digital Twin Cities Centre (DTCC) for the development of the Unreal Engine visualisations, which bring complex urban simulations to life and make them accessible to a wider audience. We also express special gratitude to our partners at DTCC, Chalmers University of Technology and the National Research Infrastructure for Data Visualisation (InfraVis), Sweden, for the successful collaboration and shared commitment to developing research and innovation in the digital urban environment.