Quantifying the impact of urban geometric detail for urban air mobility risk forecasting
Datos Bibliográficos
| ID | 21230679 |
|---|---|
| Autores | Akshay Patil (0000-0001-9807-0733, Delft University of Technology, autor de correspondencia), Clara García-Sánchez (0000-0002-5355-4272, Delft University of Technology) |
| Año | 2025 |
| Volumen | 132 |
| Páginas | 106750 |
| Fecha de publicación | 2025-09-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Sustainable Cities and Society (JOURNAL) |
| Identificadores de la revista | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2025.106750 |
| OpenAlex | W4414158078 |
| Idioma | EN |
| Citas recibidas | 3 |
| Referencias citadas | 51 |
Wind flow predictions in realistic urban areas are sensitive to a wide range of governing parameters such as building resolution, wind incidence, urban morphology, and underlying topography, to name a few. In this study, we systematically study the impact of the geometric level of detail (LoD) of the urban built environment using a Reynolds Averaged Navier–Stokes (RANS) computational framework specifically tailored for urban air mobility. Using a wind-incidence angular resolution of 1 ° , we simulated a total of 1440 simulations for two distinct urban areas and developed a probabilistic risk metric ( P r ) based on velocity and turbulence fields that allow us to compare the impact of LoD 1.2 (lower geometric detail) and LoD 2.2 (higher geometric detail). Comparing the wind-rose weighted average velocity and the risk map, we found that LoD 2.2 provides a more conservative prediction for high-risk areas than LoD 1.2, suggesting the need to adopt higher geometric details when applicable. Our results present a cautionary view on the impact of LoD and how automatic reconstruction can further the efficiency of current wind engineering practices. • Novel work comparing the impact of level of detail on wind simulations in urban areas. • Quantified risk map based on RANS tailored for Urban Air Mobility purposes. • High geometric resolution is key for accurately predicting wind flow in urban areas
Probabilistic logic · Reynolds-averaged Navier–Stokes equations · Turbulence · Urban area · Wind speed · Air Quality and Health Impacts · Vehicle emissions and performance · Wind and Air Flow Studies
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| Obras citantes distintas | 3 |
|---|---|
| Citas por año | 3 |
| Intervalo de citas | 2026 - 2026 (1) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 2 |