Abstract
The paper addresses the issue of analyzing and mapping mobility practices by using different kinds of mobile phone network data, which provide geo-located information on mobile phone activity at a high spatial and temporal resolution. We will present and discuss major findings and drawbacks, based on an application carried out on the Milan urban region (Lombardy, Northern Italy).
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Manfredini, F., Pucci, P., Tagliolato, P. (2013). Deriving Mobility Practices and Patterns from Mobile Phone Data. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39646-5_32
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DOI: https://doi.org/10.1007/978-3-642-39646-5_32
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