Révéler la polarisation économique d'une ville à partir de traces GPS de camions. Le cas de Liège
(2018) , 23 pages
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- Abstract
- (en) With the multiplication of sensors, we now have access to a large volume of individual data. In this contribution, we illustrate how a new source of data – the kilometre charge system of trucks in Belgium – can be useful for geographers. More deeply, the spatio-temporal tracking of nearly every truck is used to elaborate an accurate geography of the trucks movements within Belgium, as well as exploring the specific position of the city of Liège within this network. Can this massive dataset help us to overcome classical biases in geography as aggregation or representativeness? Do these data reveal the “DNA” of territories? By discussing the contribution of “big-data”, and more particularly in geography, we present the methodology applied to transform the original raw GPS data into a more classical origin-destination matrix. Diverse methodologies are applied on this matrix to reveal how big-data are useful to explore an aspect of the economic polarization of a city.
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Citations
Finance, O., Adam, A., Jones, J., & Thomas, I. (2018). Révéler la polarisation économique d’une ville à partir de traces GPS de camions. Le cas de Liège (CORE Discussion Paper 2018/33). https://hdl.handle.net/2078.5/173529