Work

Modèle de données urbain pour l'étude de la surchauffe des quartiers

Year: 2024
Type: conference-paper
Abstract: In a global warming context, solutions for mitigating urban overheating have been identified, such as high-albedo surfaces, urban morphology that allows for natural ventilation, and vegetation to provide shade and humidity. However, it remains challenging for stakeholders to adopt these solutions and incorporate them into the design of new neighborhoods or renovation operations. A software platform has been developed to integrate the necessary parameters for evaluating solutions, which are automatically managed in an urban data model. This model can aggregate geo-referenced data on a neighborhood scale, produce simple indicators, and prepare input data for thermal simulations of the neighborhood. The presented case study illustrates the use of this model for mean radiant temperature, shading, and wind in the urban area. The detailed maps produced are useful for adapting neighborhoods to overheating.
Source: HAL
Language: French
Open Access status: green
OpenAlex ID: W4399313472
FWCI:
Cites: 9
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Related to: 10