Description
A novel approach to categorizing Dutch neighborhoods into distinct typologies using artificial intelligence. Undertaken by the Climate Resilient Cities team at the Amsterdam University of Applied Sciences, the study aims to enhance urban climate adaptation strategies. It details the assembly and processing of extensive geospatial datasets, employing a Random Forest Classifier for accurate neighborhood classification. The research culminates in an updated Dutch neighborhood typologies map, offering insights into tailored climate adaptation measures. Additionally, plans for an interactive dashboard to further aid in climate resilience are discussed, underscoring the significance of precise, localized classifications in urban planning.| Period | 27 Mar 2023 |
|---|---|
| Event title | 2nd 4TU/14 UAS Research Day on Digitalization of the Built Environment 2023 |
| Event type | Conference |
| Location | Eindhoven, NetherlandsShow on map |
| Degree of Recognition | National |
Documents & Links
Related content
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Datasets
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Research output
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Computer leert wijktypen bepalen voor heel Nederland: een studie naar het inzetten van kunstmatige intelligentie voor het bepalen van wijktypen
Research output: Book/Report › Report › Professional
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Machine learning voor wijktypen
Research output: Contribution to journal › Article › Professional