(en) With the multiplication of sensors, we now have access to a large volume of individual data in geography and especially in transportation geography. 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. Considered as a proxy of goods exchanges between places, these data will help to explore the specific position of a given city in the Belgian logistics network. By discussing the contribution of these spatial “big- data”, we firstly present the methodology applied to transform the original raw GPS database into a more classical origin-destination matrix synthetizing interactions occurring between places. Diverse methodologies are then applied to this matrix to reveal how big-data are useful to explore an aspect of the economic polarization of the city of Liège.
Finance, O., ADAM, A., JONES, J., & Thomas, I. (2019). Révéler la polarisation économique d’une ville à partir des traces GPS des camions. Le cas de Liège. Bulletin de la Société Géographique de Liège, 72. https://hdl.handle.net/2078.5/123334 (Original work published 2019)