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Have you ever walked downtown in summer and felt it was much hotter than in a park? This phenomenon is known as the 'Urban Heat Island' effect. A new study conducted in Beijing used artificial intelligence to understand exactly what makes our cities heat up. Researchers analyzed how urban shapes influence temperature throughout the entire year.

The results are surprising! It is not just about how much concrete there is. Vegetation, measured through the NDVI index, is the true queen of cooling: the more plants there are, the more the temperature drops. But there is more: building height also plays a fundamental role. In summer, tall buildings can help create shaded areas, but in winter, the situation changes and their height influences heat in a different way.

Essentially, the structure of our cities acts like a giant thermostat. To fight excessive heat, it is not enough to just plant trees; we must design buildings that can manage heat intelligently, keeping in mind that the climate changes drastically between spring and winter. Understanding this balance is the key to building the cities of the future: places where we don't melt during summer heatwaves!

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The research utilized advanced Machine Learning techniques, specifically interpretation through SHapley Additive Explanations (SHAP), to decipher the complex non-linear relationship between urban morphology and Land Surface Temperature (LST). The study demonstrated that three-dimensional indicators, such as Building Height (BH) and mean building volume, have a more pronounced impact on temperature compared to two-dimensional indicators, such as the Building Coverage Ratio (BCR), especially during transitional seasons. A crucial finding is the differentiated effect of vegetation (NDVI): while greenery consistently reduces temperature, the impact of buildings changes drastically across seasons. In winter, building height becomes a determining factor for heat retention or dispersion, whereas in summer, their primary function is the modulation of shade and ventilation. This data-driven approach allows for a shift from generic urban planning to precise seasonal climate management, optimizing the use of green spaces and building volumes to mitigate the Urban Heat Island effect.

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Authors:
Ni WangLidu ShenWenli FeiYage LiuHujia ZhaoLuyao LiuAnzhi WangBao-Jie He
Date Published:
Original Article www.mdpi.com
Fact-check verified on 19/07/2026
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Creative Commons License CC BY-NC-SA 4.0

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