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Prospective for urban informatics

Shi, Wenzhong; Goodchild, Michael; Batty, Michael; Li, Qingquan; Liu, Xintao; Zhang, Anshu; (2022) Prospective for urban informatics. Urban Inform , 1 (1) , Article 2. 10.1007/s44212-022-00006-0. Green open access

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Abstract

The specialization of different urban sectors, theories, and technologies and their confluence in city development have led to a greatly accelerated growth in urban informatics, the transdisciplinary field for understanding and developing the city through new information technologies. While this young and highly promising field has attracted multiple reviews of its advances and outlook for its future, it would be instructive to probe further into the research initiatives of this rapidly evolving field, to provide reference to the development of not only urban informatics, but moreover the future of cities as a whole. This article thus presents a collection of research initiatives for urban informatics, based on the reviews of the state of the art in this field. The initiatives cover three levels, namely the future of urban science; core enabling technologies including geospatial artificial intelligence, high-definition mapping, quantum computing, artificial intelligence and the internet of things (AIoT), digital twins, explainable artificial intelligence, distributed machine learning, privacy-preserving deep learning, and applications in urban design and planning, transport, location-based services, and the metaverse, together with a discussion of algorithmic and data-driven approaches. The article concludes with hopes for the future development of urban informatics and focusses on the balance between our ever-increasing reliance on technology and important societal concerns.

Type: Article
Title: Prospective for urban informatics
Location: Singapore
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s44212-022-00006-0
Publisher version: https://doi.org/10.1007/s44212-022-00006-0
Language: English
Additional information: © 2023 Springer Nature. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Keywords: Smart cities, Urban computing, Urban informatics, Urban science, Urban sensing
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10177045
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