Passive Mobile Phone Dataset to Construct Origin-destination Matrix: Potentials and Limitations

Patrick Bonnel (1) , Etienne Hombourger (2) , Ana-Maria Olteanu-Raimond (3) , Zbigniew Smoreda (4)

1 LET - Laboratoire d'économie des transports
2 Cerema Direction Est - Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement - Direction Est
3 COGIT - Cartographie et Géomatique
4 Orange Labs [Issy les Moulineaux]

Mobile phone operators produce enormous amounts of data. In this paper we present applications performed with a dataset (communication events + handover and Location Area Up-date) collected by the operator Orange from 31 March to 11 April 2009 for the whole Paris Region. Trips are deduced from the spatio-temporal trajectory of devices through a hypothesis of stationarity within a Location Area in order to define activities. Trips are then aggregated in an origin-destination matrix which is compared with traditional data (census data and household travel survey).

Mots clés: travel survey; passive data; origin-destination matrix; mobile phone data

Domaines: Economies et finances

Patrick Bonnel, Etienne Hombourger, Ana-Maria Olteanu-Raimond, Zbigniew Smoreda. Passive Mobile Phone Dataset to Construct Origin-destination Matrix: Potentials and Limitations. Transportation Research Procedia, 2015, 11, pp.381 - 398. ⟨10.1016/j.trpro.2015.12.032⟩. ⟨halshs-01664219⟩