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Use of mobile phone data to estimate visitors mobility flows

Capitolo di libro
Data di Pubblicazione:
2015
Abstract:
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.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Data Mining; Call Data Records; Database Application
Elenco autori:
Gabrielli, Lorenzo; Giannotti, Fosca; Nanni, Mirco; Rinzivillo, Salvatore; Furletti, Barbara
Autori di Ateneo:
FURLETTI BARBARA
GABRIELLI LORENZO
NANNI MIRCO
RINZIVILLO SALVATORE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/277786
Titolo del libro:
Software Engineering and Formal Methods
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URL

http://link.springer.com/chapter/10.1007%2F978-3-319-15201-1_14
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