Thinking about measuring Augé’s non-places with Big Data

Augé describes non-places as quantifiable and measureable physical space, but does not give an appropriate measure to do so. This contribution thinks about using crowd-harvested photo data, a specific kind of Big Data, to measure non-places in the context of tourism by giving a theory based discussi...

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Bibliographic Details
Main Author: Michael Bauder
Format: Article
Language:English
Published: SAGE Publishing 2016-08-01
Series:Big Data & Society
Online Access:https://doi.org/10.1177/2053951716665130
Description
Summary:Augé describes non-places as quantifiable and measureable physical space, but does not give an appropriate measure to do so. This contribution thinks about using crowd-harvested photo data, a specific kind of Big Data, to measure non-places in the context of tourism by giving a theory based discussion on Augé’s non-places, photography as key element of “doing” tourism, and the selection processes of photography and uploading photos. Solely using theoretical thoughts and propositional logic, this contribution indicates that it could be possible to do so. Yet, there are plenty of empirical studies needed in order to verify the built hypothesis.
ISSN:2053-9517