Disruptive Data : Historicising the platformisation of Dublin’s taxi industry

White, James; Larsson, Stefan (2023-10-09). Disruptive Data : Historicising the platformisation of Dublin’s taxi industry. Buildings and Cities, 4, (1), 838 - 850
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DOI:
| Published | English
Authors:
White, James ; Larsson, Stefan
Department:
Department of Technology and Society
AI and Society
Real Estate Science
Project:
AI Transparency and Consumer Trust
Research Group:
AI and Society
Abstract:
Social and economic change in the built environment is increasingly driven by processes of datafication. These often find expression through smart phone apps and private platforms that seek to upset the status quo by mediating consumer and producer interactions, and by monetising the data these produce. This paper uses the practice-oriented concept of ‘disruptive data’ to draw attention away from specific technologies and towards the broader political economic logics that underlie them. In so doing, disruption is reframed as a capitalist strategy for creating and capitalising on uncertainty. The rapid change to Dublin’s taxi industry over the past decade illustrates these dynamics. By following how ride-hailing apps, most notably Hailo, were introduced into and effected the city, the importance of regulatory context but also wider flows of data and capital are stressed. Data disruptions occur not at the level of the app or platform, but at the economic relations in which they are embedded. By paying attention to the historical details of data disruption, the specificities of change processes are revealed without losing track of their broader economic function.
Keywords:
data politics ; digital platform ; disruptive data ; mobility services ; ride-hailing app ; smart city ; taxi ; urban transport ; Dublin ; Sociology (excluding Social Work, Social Psychology and Social Anthropology) ; Law and Society ; Social Sciences Interdisciplinary
ISSN:
2632-6655
LUP-ID:
6f14c102-166e-4e54-b7de-38ec9b993361 | Link: https://lup.lub.lu.se/record/6f14c102-166e-4e54-b7de-38ec9b993361 | Statistics

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