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Use of Mobile Phone Data to Estimate Visitors Mobility Flows

Part of the Lecture Notes in Computer Science book series (LNPSE,volume 8938)


Big Data originating from the digital breadcrumbs of human activities, sensed as by-product of the technologies that we use for our daily activities, allows us to observe the individual and collective behavior of people at an unprecedented detail. Many dimensions of our social life have big data “proxies”, such as the mobile calls data for mobility. In this paper we investigate to what extent data coming from mobile operators could be a support in producing reliable and timely estimates of intra-city mobility flows. The idea is to define an estimation method based on calling data to characterize the mobility habits of visitors at the level of a single municipality.


  • Big data
  • Urban population
  • Inter-city mobility
  • Data mining

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  • DOI: 10.1007/978-3-319-15201-1_14
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    These data consist of location estimations which are generated each time when a mobile device is connected to the cellular network for calls, messages and Internet connections.


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This work has been partially funded by the European Union under the FP7-ICT Program: Project DataSim n. FP7-ICT-270833, and Project Petra n. 609042; and by the MIUR and MISE under the Industria 2015 program: Project MOTUS grating degree n.0000089 - application code MS01_00015.

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Correspondence to Mirco Nanni .

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Gabrielli, L., Furletti, B., Giannotti, F., Nanni, M., Rinzivillo, S. (2015). Use of Mobile Phone Data to Estimate Visitors Mobility Flows. In: Canal, C., Idani, A. (eds) Software Engineering and Formal Methods. SEFM 2014. Lecture Notes in Computer Science(), vol 8938. Springer, Cham.

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