TY - JOUR
T1 - Urban visual-spatial intelligence
T2 - linking human and sensor perception for sustainable urban development
AU - Weng, Qihao
AU - Hou, Qianbao
AU - Chen, Zhixing
AU - Benediktsson, Jón Atli
AU - Gamba, Paolo
AU - Tuia, Devis
AU - Zhang, Fan
AU - Xu, Yonghao
AU - Wu, Meiliu
AU - Li, Na
AU - Batty, Michael
N1 - Publisher Copyright: © The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105013238834
U2 - 10.1038/s42949-025-00256-2
DO - 10.1038/s42949-025-00256-2
M3 - Comment/debate
SN - 2661-8001
VL - 5
JO - npj Urban Sustainability
JF - npj Urban Sustainability
IS - 1
M1 - 65
ER -