Reading Microclimates with 3D City Models

Описание и применение

Автор описывает использование 3D-моделей городов в сочетании с климатическими данными для анализа микроклимата на уровне улиц. Традиционные 2D-карты не показывают, как здания и материалы влияют на тепло и ветер. Инструмент Shapezo позволяет быстро создавать 3D-модели для оценки тени, воздушных потоков и тепловых островов, что помогает принимать более обоснованные решения по озеленению и дизайну общественных пространств.

Задача

Traditional 2D urban planning maps fail to capture street-level microclimates, leading to urban heat island effects where built environments trap heat, block wind, and lack adequate shade, making cities uncomfortable and unhealthy during summer heatwaves.

Результат

The integration of 3D city models with climate data allows for a detailed understanding of microclimates, enabling more effective urban design decisions that improve street-level comfort and mitigate heat island effects.

Рабочий процесс

• Identify the urban area of interest on a map.
• Use an AI tool like Shapezo to generate a 3D city model of the region quickly.
• Overlay climate data (temperature, humidity, wind speed, solar exposure) onto the 3D model.
• Analyze the model to identify heat traps, wind-blocked areas, and insufficient shade.
• Evaluate specific design elements such as tree canopy density, paving materials, and building spacing.
• Formulate targeted design interventions (e.g., adding shade on west sides, improving wind corridors).
• Use insights to guide urban design decisions for public spaces, sidewalks, and green infrastructure.

Доказательства

For me, the useful way to study that is to combine 3D city models with climate data.

Источник

Shapezo is an example of that kind of workflow. The basic idea is simple: I frame a region on a map, and AI generates the model for that area.

Источник