Re-thinking urban infrastructures as spaces of learning

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Tuitjer, L.; Müller, A.-L.: Re-thinking urban infrastructures as spaces of learning. In: Geography compass 15 (2021), Nr. 1, e12552. DOI: https://doi.org/10.1111/gec3.12552

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/13845

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Sum total of downloads: 52




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Abstract: 
Research on urban infrastructure has advanced to the forefront of human geography inquiry in the last two decades. Among other topics, geographers have looked into the privatization and neo-liberal splintering of urban infrastructures; the failings of infrastructures and the power relations revealed within these failings; the political ecology of infrastructural provisions; the specific infrastructural challenges of cities within the so-called Global South; and the entanglements of everyday experiences, affects and emotions with infrastructures. Yet, little attention has been drawn to the ways in which infrastructures need to be learned to fulfil their role of smoothly providing people with diverse services. Given the increasing spatial mobility of populations (e.g., as refugees, migrants, expatriates, and tourists), as well as the accelerating pace of infrastructural change (e.g., in the name of Smart City developments) however, it has become more salient than ever to open-up urban infrastructural research more explicitly towards critical inquiries of learning. Thus, this paper proposes to re-think urban infrastructures not only as socio-material configurations, but more specifically as important spaces for learning.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 34 65.38%
2 image of flag of United States United States 8 15.38%
3 image of flag of Russian Federation Russian Federation 4 7.69%
4 image of flag of Taiwan Taiwan 2 3.85%
5 image of flag of China China 2 3.85%
6 image of flag of Czech Republic Czech Republic 1 1.92%
7 image of flag of Brazil Brazil 1 1.92%

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