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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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | npj Urban Sustainability |
| Online Access: | https://doi.org/10.1038/s42949-025-00256-2 |
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| _version_ | 1849332806133481472 |
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| author | Qihao Weng Qianbao Hou Zhixing Chen Jón Atli Benediktsson Paolo Gamba Devis Tuia Fan Zhang Yonghao Xu Meiliu Wu Na Li Michael Batty |
| author_facet | Qihao Weng Qianbao Hou Zhixing Chen Jón Atli Benediktsson Paolo Gamba Devis Tuia Fan Zhang Yonghao Xu Meiliu Wu Na Li Michael Batty |
| author_sort | Qihao Weng |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b31ac1db455f425f9f86bb1271ea102f |
| institution | Kabale University |
| issn | 2661-8001 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Urban Sustainability |
| spelling | doaj-art-b31ac1db455f425f9f86bb1271ea102f2025-08-20T03:46:07ZengNature Portfolionpj Urban Sustainability2661-80012025-08-01511510.1038/s42949-025-00256-2Urban visual-spatial intelligence: linking human and sensor perception for sustainable urban developmentQihao Weng0Qianbao Hou1Zhixing Chen2Jón Atli Benediktsson3Paolo Gamba4Devis Tuia5Fan Zhang6Yonghao Xu7Meiliu Wu8Na Li9Michael Batty10JC STEM Lab of Earth Observations, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic UniversityJC STEM Lab of Earth Observations, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic UniversityJC STEM Lab of Earth Observations, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic UniversityFaculty of Electrical and Computer Engineering, University of IcelandDepartment of Electrical, Biomedical and Computer Engineering, University of PaviaEnvironmental Computational Science and Earth Observation Laboratory, Ecole Polytechnique Fédérale de LausanneInstitute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking UniversityDepartment of Electrical Engineering, Linköping UniversitySchool of Geographical & Earth Sciences, University of GlasgowDepartment of Urban Planning and Engineering, Hanyang UniversityCentre for Advanced Spatial Analysis, University College LondonUnderstanding 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.https://doi.org/10.1038/s42949-025-00256-2 |
| spellingShingle | Qihao Weng Qianbao Hou Zhixing Chen Jón Atli Benediktsson Paolo Gamba Devis Tuia Fan Zhang Yonghao Xu Meiliu Wu Na Li Michael Batty Urban visual-spatial intelligence: linking human and sensor perception for sustainable urban development npj Urban Sustainability |
| title | Urban visual-spatial intelligence: linking human and sensor perception for sustainable urban development |
| title_full | Urban visual-spatial intelligence: linking human and sensor perception for sustainable urban development |
| title_fullStr | Urban visual-spatial intelligence: linking human and sensor perception for sustainable urban development |
| title_full_unstemmed | Urban visual-spatial intelligence: linking human and sensor perception for sustainable urban development |
| title_short | Urban visual-spatial intelligence: linking human and sensor perception for sustainable urban development |
| title_sort | urban visual spatial intelligence linking human and sensor perception for sustainable urban development |
| url | https://doi.org/10.1038/s42949-025-00256-2 |
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