Napolitano, R, Reinhart, W and Gevaudan, JP (2021) Smart cities built with smart materials. Science, 371 (6535). pp. 1200-1201. ISSN 0036-8075
Abstract
The Smart City Index (1) defines a smart city as “an urban setting that applies technology to enhance the benefits and diminish the shortcomings of urbanization for its citizens.” The top-ranked city, Singapore, has addressed urban challenges with information technology since 2014 through its Smart Nation Initiative (2). The influence of technology is reflected in the city's open platform for sharing energy data, crowd-sourced location data for smart navigation, and even online forums for citizen participation in policy-making (2). The smart city concept requires the acquisition of massive amounts of data in real time, and large networks of smart devices must spread the burden of communication and processing evenly across the network to prevent information overload at its center. Opportunities to solve this challenge have recently emerged through the development of increasingly “smart materials” that can sense, process, and respond to environmental stimuli without centralized resources.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021, American Association for the Advancement of Science. This is the author’s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science on Vol. 371, 19th March 20201, DOI: 10.1126/science.abg4254 |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Funding Information: | Funder Grant number EU - European Union 839436 |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 May 2021 11:45 |
Last Modified: | 19 Sep 2021 00:38 |
Status: | Published |
Publisher: | American Association for the Advancement of Science (AAAS) |
Identification Number: | 10.1126/science.abg4254 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:173948 |