Artificial intelligence in urban science: why does it matter?

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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Bibliographic Details
Main Authors: Xinyue Ye, Tan Yigitcanlar, Michael Goodchild, Xiao Huang, Wenwen Li, Shih-Lung Shaw, Yanjie Fu, Wenjing Gong, Galen Newman
Format: Article
Language:English
Published: Taylor & Francis Group 2025-04-01
Series:Annals of GIS
Subjects:
Artificial intelligence
urban science
explainable AI
digital twins
human dynamics
Online Access:https://www.tandfonline.com/doi/10.1080/19475683.2025.2469110
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