Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116080
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorResearch Centre for Artificial Intelligence in Geomatics-
dc.contributorResearch Institute for Land and Space-
dc.creatorWeng, Q-
dc.creatorHou, Q-
dc.creatorChen, Z-
dc.creatorBenediktsson, JA-
dc.creatorGamba, P-
dc.creatorTuia, D-
dc.creatorZhang, F-
dc.creatorXu, Y-
dc.creatorWu, M-
dc.creatorLi, N-
dc.creatorBatty, M-
dc.date.accessioned2025-11-18T06:49:36Z-
dc.date.available2025-11-18T06:49:36Z-
dc.identifier.urihttp://hdl.handle.net/10397/116080-
dc.language.isoenen_US
dc.publisherNature Publishing Groupen_US
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rights© The Author(s) 2025en_US
dc.rightsThe following publication Weng, Q., Hou, Q., Chen, Z. et al. Urban visual-spatial intelligence: linking human and sensor perception for sustainable urban development. npj Urban Sustain 5, 65 (2025) is available at https://doi.org/10.1038/s42949-025-00256-2.en_US
dc.titleUrban visual-spatial intelligence : linking human and sensor perception for sustainable urban developmenten_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume5-
dc.identifier.doi10.1038/s42949-025-00256-2-
dcterms.abstractUnderstanding 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationnpj urban sustainability, 2025, v. 5, 65-
dcterms.isPartOfnpj urban sustainability-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105013238834-
dc.identifier.eissn2661-8001-
dc.identifier.artn65-
dc.description.validate202511 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research has received funding from Global STEM Professorship, Hong Kong SAR Government (P0039329), and Hong Kong Polytechnic University (P0046482, P0038446 and P0055412). The authors are grateful to the editor and reviewers for their constructive comments and suggestions which helped improve the manuscript.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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