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Out of the loop? On the radical and the routine in urban big data

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  • Sarah Barns

Abstract

This commentary interrogates what it means for routine urban behaviours to now be replicating themselves computationally. The emergence of autonomous or artificial intelligence points to the powerful role of big data in the city, as increasingly powerful computational models are now capable of replicating and reproducing existing spatial patterns and activities. I discuss these emergent urban systems of learned or trained intelligence as being at once radical and routine. Just as the material and behavioural conditions that give rise to urban big data demand attention, so do the generative design principles of data-driven models of urban behaviour, as they are increasingly put to use in the production of replicable, autonomous urban futures.

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  • Sarah Barns, 2021. "Out of the loop? On the radical and the routine in urban big data," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3203-3210, November.
    • Handle: RePEc:sae:urbstu:v:58:y:2021:i:15:p:3203-3210
    DOI: 10.1177/00420980211014026
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    References listed on IDEAS

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    1. Tan Yigitcanlar & Federico Cugurullo, 2020. "The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    2. Papadopoulos, Sokratis & Kontokosta, Constantine E., 2019. "Grading buildings on energy performance using city benchmarking data," Applied Energy, Elsevier, vol. 233, pages 244-253.
    3. van der Graaf, Shenja & Ballon, Pieter, 2019. "Navigating platform urbanism," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 364-372.
    4. Andrea Fumagalli & Stefano Lucarelli & Elena Musolino & Giulia Rocchi, 2018. "Digital Labour in the Platform Economy: The Case of Facebook," Sustainability, MDPI, vol. 10(6), pages 1-16, May.
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    Cited by:

    1. Zaheer Allam & Simon Elias Bibri & David Jones & Didier Chabaud & Carlos Moreno, 2022. "Unpacking the ‘15-Minute City’ via 6G, IoT, and Digital Twins: Towards a New Narrative for Increasing Urban Efficiency, Resilience, and Sustainability," Post-Print hal-03997414, HAL.
    2. Mikołaj Biesaga & Anna Domaradzka & Magdalena Roszczyńska-Kurasińska & Szymon Talaga & Andrzej Nowak, 2023. "The effect of the pandemic on European narratives on smart cities and surveillance," Urban Studies, Urban Studies Journal Limited, vol. 60(10), pages 1894-1914, August.
    3. Zaheer Allam & Ayyoob Sharifi & Simon Elias Bibri & Didier Chabaud, 2022. "Emerging Trends and Knowledge Structures of Smart Urban Governance," Sustainability, MDPI, vol. 14(9), pages 1-29, April.
    4. Jon Bannister & Anthony O’Sullivan, 2021. "Big Data in the city," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3061-3070, November.
    5. Tan Yigitcanlar, 2021. "Greening the Artificial Intelligence for a Sustainable Planet: An Editorial Commentary," Sustainability, MDPI, vol. 13(24), pages 1-9, December.

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