Use of mobile phone data to estimate visitors mobility flows (Contributo in atti di convegno)

Type
Label
  • Use of mobile phone data to estimate visitors mobility flows (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Gabrielli L., Furletti B., Giannotti F., Nanni M., Rinzivillo S. (2014)
    Use of mobile phone data to estimate visitors mobility flows
    in MoKMaSD 2014 - Modelling and Knowledge Management applications: Systems and Domains, Grenoble, France, 2 September 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Gabrielli L., Furletti B., Giannotti F., Nanni M., Rinzivillo S. (literal)
Pagina inizio
  • 8 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.di.unipi.it/mokmasd/symposium-2014/preproceedings/GabrielliEtAl-mokmasd201 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 13 (literal)
Note
  • Scopu (literal)
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Italy (literal)
Titolo
  • Use of mobile phone data to estimate visitors mobility flows (literal)
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 mo- bile 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 (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Insieme di parole chiave di
data.CNR.it