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The politics of smart expectations: Interrogating the knowledge claims of smart mobility.

Authors :
van Oers, Laura
de Hoop, Evelien
Jolivet, Eric
Marvin, Simon
Späth, Philipp
Raven, Rob
Source :
Futures; Sep2020, Vol. 122, pN.PAG-N.PAG, 1p
Publication Year :
2020

Abstract

• This paper scrutinizes smart mobility project expecations' knowledge claims. • Smart knowledge claims present datafication as a producer of neutral knowledge. • Expectations based on datafication carry strong inherent legitimacy. • Expectations on societal benefits disappear from view when projects materialize. • Smart knowledge-claims risk excluding non-smart alternatives. This paper studies the performativity of smart mobility expectations in envisioning urban futures. Smart mobility, or ICT-enabled transport services, are increasingly considered a necessary ingredient for sustainability transitions in cities. Expectations of smart mobility's contribution to such a transition are constituted by a strong belief in the transformative potential of data collection and use. These knowledge claims embedded in smart mobility expectations tend to be unchallenged, yet contribute to a particular future vision of urban mobility. Our empirical analysis, which draws on two empirical smart cycling case studies in Utrecht, the Netherlands, and Bordeaux, France, underlines the politics of such smart knowledge claims in two smart cycling projects and identifies distinct processes as to how such claims may shape and structure mobility futures. We observe intimate entanglements between what is being developed in terms of technologies and services; and the societal needs that the projects' expectations promise to fulfil. At the same time, we witness a disentanglement of these interconnected knowledge claims when projects unfold, leaving the promise of (un)achieved societal benefits out of view. Indeed, smart knowledge claims carried strong inherent legitimacy in the cases studied, thereby risking to exclude non-smart alternatives. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00163287
Volume :
122
Database :
Supplemental Index
Journal :
Futures
Publication Type :
Academic Journal
Accession number :
145318943
Full Text :
https://doi.org/10.1016/j.futures.2020.102604