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 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.
Authors
- Michael Batty (ORCID: https://orcid.org/0000-0002-9931-1305)
- Qihao Weng (ORCID: https://orcid.org/0000-0002-2498-0934)
- Devis Tuia (ORCID: https://orcid.org/0000-0003-0374-2459)
- Paolo Gamba (ORCID: https://orcid.org/0000-0002-9576-6337)
- Meiliu Wu (ORCID: https://orcid.org/0000-0002-5246-4603)
- Jón Atli Benediktsson (ORCID: https://orcid.org/0000-0003-0621-9647)
- Qianbao Hou (ORCID: https://orcid.org/0009-0005-7863-8519)
- Yonghao Xu (ORCID: https://orcid.org/0000-0002-6857-0152)
- Zhixin Chen
- Na Li (ORCID: https://orcid.org/0000-0002-1496-8798)
- Fan Zhang (ORCID: https://orcid.org/0000-0003-3291-7887)
Institutions
- Linköping University (SE)
- Hong Kong Polytechnic University (HK)
- University of Iceland (IS)
- Peking University (CN)
- University of Pavia (IT)
- University College London (GB)
- Hanyang University (KR)
- École Polytechnique Fédérale de Lausanne (CH)
- University of Glasgow (GB)
Publication Details
- Journal
- npj Urban Sustainability
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1038/s42949-025-00256-2
- Citations
- 1
- Primary Topic
- Impact of Light on Environment and Health
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- University of Glasgow
- Linköpings Universitet
- Hong Kong Polytechnic University
- Università degli Studi di Pavia
- Háskóli Íslands
- Peking University