Istituto di Scienza e Tecnologie dell'Informazione     
Gabrielli L., Furletti B., Giannotti F., Nanni M., Rinzivillo S. Use of mobile phone data to estimate visitors mobility flows. Carlos Canal, Akram Idani (eds.). (Lecture Notes in Computer Science, vol. 8938). Cham, Switzerland: Springer, 2015.
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.
URL: http://link.springer.com/chapter/10.1007%2F978-3-319-15201-1_14
DOI: 10.1007/978-3-319-15201-1_14
Subject Big Data
Urban population
Mobile phone data
Inter-city mobility
Data mining
H.2.8 Database Application

Icona documento 1) Download Document PDF

Icona documento Open access Icona documento Restricted Icona documento Private


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional