Macrorie, R. orcid.org/0000-0002-4148-7463, Marvin, S. and While, A. (2019) Robotics and automation in the city: a research agenda. Urban Geography, 42 (2). pp. 197-217. ISSN 0272-3638
Abstract
Globally cities are becoming experimental sites for new forms of robotic and automation technologies applied across a wide variety of sectors in multiple areas of economic and social life. As these innovations leave the laboratory and factory, this paper analyses how robotics and automation systems are being layered upon existing urban digital networks, extending the capabilities and capacities of human agency and infrastructure networks, and reshaping the city and citizen’s everyday experiences. To date, most work in this field has been speculative and isolated in nature. We set out a research agenda that goes beyond analysis of discrete applications and effects, to investigate how robotics and automation connect across urban domains and the implications for: differential urban geographies, the selective enhancement of individuals and collective management of infrastructures, the socio-spatial sorting of cities and the potential for responsible urban innovation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Robotics; Automation; Artificial Intelligence; Splintered urbanism; Socio-spatial sorting |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Sheffield Urban Institute |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Nov 2019 12:42 |
Last Modified: | 12 Nov 2021 10:17 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/02723638.2019.1698868 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154044 |