Understanding Human Mobility with Big Data

  • Fosca Giannotti
  • Lorenzo Gabrielli
  • Dino Pedreschi
  • Salvatore Rinzivillo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9580)


The paper illustrates basic methods of mobility data mining, designed to extract from the big mobility data the patterns of collective movement behavior, i.e., discover the subgroups of travelers characterized by a common purpose, profiles of individual movement activity, i.e., characterize the routine mobility of each traveler. We illustrate a number of concrete case studies where mobility data mining is put at work to create powerful analytical services for policy makers, businesses, public administrations, and individual citizens.


Mobility data mining Big data analytics 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Fosca Giannotti
    • 1
  • Lorenzo Gabrielli
    • 1
  • Dino Pedreschi
    • 2
  • Salvatore Rinzivillo
    • 1
  1. 1.KDDLabISTI - CNRPisaItaly
  2. 2.KDDLab, Dipartimento di InformaticaUniversità di PisaPisaItaly

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