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). © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Manfredini, F., Pucci, P., & Tagliolato, P. (2013). Deriving mobility practices and patterns from mobile phone data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7973 LNCS, pp. 438–451). https://doi.org/10.1007/978-3-642-39646-5_32
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