Urban visual-spatial intelligence: linking human and sensor perception for sustainable urban development

Understanding urban perception enhances urban intelligence research, aiding sustainable development and smart city. Urban Visual-Spatial Intelligence (UVSI) integrates human and sensor perception. This Perspective explores UVSI’s potential for sustainable development, identifies research gaps, and o...

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Published innpj Urban Sustainability Vol. 5; no. 1; pp. 65 - 5
Main Authors Weng, Qihao, Hou, Qianbao, Chen, Zhixing, Benediktsson, Jón Atli, Gamba, Paolo, Tuia, Devis, Zhang, Fan, Xu, Yonghao, Wu, Meiliu, Li, Na, Batty, Michael
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.12.2025
Springer Nature B.V
Nature Portfolio
Subjects
4014/4045
639/166
704/844
706/2808
Artificial intelligence
cities
Collaboration
Comment
Data integration
Data processing
Earth and Environmental Science
Environment
Intelligence
Perception
R&D
Real time
Research & development
Sensors
Spatiotemporal data
Sustainability
Sustainable Development
towns
Urban areas
Urban development
Urban Ecology
Urban Geography
Urban planning
Urbanism
Urbanism (inc. megacities
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Abstract Understanding urban perception enhances urban intelligence research, aiding sustainable development and smart city. Urban Visual-Spatial Intelligence (UVSI) integrates human and sensor perception. This Perspective explores UVSI’s potential for sustainable development, identifies research gaps, and outlines future priorities. Advances in AI, high-performance computing, real-time data processing, and citizen science could significantly impact UVSI. Key research areas include spatiotemporal data integration, visual analytics, ethical frameworks, and inclusive methodologies for AI-driven urban management.
AbstractList Understanding urban perception enhances urban intelligence research, aiding sustainable development and smart city. Urban Visual-Spatial Intelligence (UVSI) integrates human and sensor perception. This Perspective explores UVSI’s potential for sustainable development, identifies research gaps, and outlines future priorities. Advances in AI, high-performance computing, real-time data processing, and citizen science could significantly impact UVSI. Key research areas include spatiotemporal data integration, visual analytics, ethical frameworks, and inclusive methodologies for AI-driven urban management.
ArticleNumber 65
Author Hou, Qianbao
Chen, Zhixing
Gamba, Paolo
Weng, Qihao
Wu, Meiliu
Benediktsson, Jón Atli
Tuia, Devis
Li, Na
Batty, Michael
Zhang, Fan
Xu, Yonghao
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639/166
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cities
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towns
Urban areas
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Urban Geography
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Title Urban visual-spatial intelligence: linking human and sensor perception for sustainable urban development
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