Artificial intelligence in urban science: why does it matter?

Urban science aims to explain, discover, understand, and generalize (EDUG) complex, human-centric systems, emphasizing societal context and sustainability. However, integrating artificial intelligence (AI) into urban science presents challenges, including data availability, ethical considerations, a...

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Autors principals:	Xinyue Ye, Tan Yigitcanlar, Michael Goodchild, Xiao Huang, Wenwen Li, Shih-Lung Shaw, Yanjie Fu, Wenjing Gong, Galen Newman
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2025-04-01
Col·lecció:	Annals of GIS
Matèries:	Artificial intelligence urban science explainable AI digital twins human dynamics
Accés en línia:	https://www.tandfonline.com/doi/10.1080/19475683.2025.2469110
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