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

Patrick Bonnel · Étienne Hombourger · Ana‐Maria Olteanu‐Raimond · Zbigniew Smoreda

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Human Mobility and Location-Based Analysis Transportation Planning and Optimization Data Management and Algorithms

Abstract

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).

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References

2008Understanding individual human mobility patterns 2011Friendship and mobility 2011Smart card data use in public transit: A literature review 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data 2012Understanding Road Usage Patterns in Urban Areas 2006Household travel surveys: Where are we going?2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events

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