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Big Data in the city

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Listed:
  • Jon Bannister
  • Anthony O’Sullivan

Abstract

This editorial introduces a Special Issue on Big Data in the City. Collectively, six research articles and two commentaries explore the roles that Big Data can and might play in enhancing our understanding of urban processes and the qualities of urban outcomes. Big Data may be intrinsically considered a neutral technology but – refracted through existing power structures and resource distributions – its application within cities is by no means guaranteed always to help in the amelioration of social injustices or in the promotion of urban well-being. In application, Big Data becomes a performative technology that can be, is and will be further used in the creation and regulation of the cities of this century, a process that will be messy and of mixed consequence. The task for urban studies research is to shape that performativity, and to challenge any tendency that emerges to the further entrenchment of social inequities. In pursuit of these aims, and sensitively deployed, Big Data can be cast as part of the route map to better urban futures.

Suggested Citation

  • Jon Bannister & Anthony O’Sullivan, 2021. "Big Data in the city," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3061-3070, November.
    • Handle: RePEc:sae:urbstu:v:58:y:2021:i:15:p:3061-3070
    DOI: 10.1177/00420980211014124
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    References listed on IDEAS

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    1. Sanyal, Romola & Ferreri, Mara, 2018. "Platform economies and urban planning: Airbnb and regulated deregulation in London," LSE Research Online Documents on Economics 87473, London School of Economics and Political Science, LSE Library.
    2. Steven C Bourassa & Martin Hoesli & Louis Merlin & John Renne, 2021. "Big data, accessibility and urban house prices," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3176-3195, November.
    3. Lindsay Blair Howe, 2021. "Thinking through people: The potential of volunteered geographic information for mobility and urban studies," Urban Studies, Urban Studies Journal Limited, vol. 58(14), pages 3009-3028, November.
    4. Mark Ellison & Jon Bannister & Won Do Lee & Muhammad Salman Haleem, 2021. "Understanding policing demand and deployment through the lens of the city and with the application of big data," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3157-3175, November.
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    8. Linnet Taylor, 2021. "The taming of chaos: Optimal cities and the state of the art in urban systems research," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3196-3202, November.
    9. Mingshu Wang & Floris Vermeulen, 2021. "Life between buildings from a street view image: What do big data analytics reveal about neighbourhood organisational vitality?," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3118-3139, November.
    10. Michael Batty & Richard Milton, 2021. "A new framework for very large-scale urban modelling," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3071-3094, November.
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    13. 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.
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    15. Julia Gabriele Harten & Annette M Kim & J Cressica Brazier, 2021. "Real and fake data in Shanghai’s informal rental housing market: Groundtruthing data scraped from the internet," Urban Studies, Urban Studies Journal Limited, vol. 58(9), pages 1831-1845, July.
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