On the Regularity of Human Mobility

Abstract : Understanding human mobility patterns is crucial to fields such as urban mobility and mobile network planning. For this purpose, we make use of large-scale datasets recording individuals spatio-temporal locations, from eight major world cities: Beijing, Tokyo, New York, Paris, San Francisco, London, Moscow and Mexico City. Our contributions are two-fold: first, we show significant similarities in people's mobility habits regardless of the city and nature of the dataset. Second, we unveil three persistent traits present in an individual's urban mobility: repetitiveness, preference for shortest-paths, and confinement. These characteristics uncover people's tendency to revisit few favourite venues using the shortest-path available.
Type de document :
Article dans une revue
Pervasive and Mobile Computing, Elsevier, 2016
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Contributeur : Aline Carneiro Viana <>
Soumis le : vendredi 17 février 2017 - 16:53:06
Dernière modification le : mardi 9 janvier 2018 - 13:46:49
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  • HAL Id : hal-01367825, version 1



Eduardo Mucceli, Aline Carneiro Viana, Carlos Sarraute, Jorge Brea, José Ignacio Alvarez-Hamelin. On the Regularity of Human Mobility. Pervasive and Mobile Computing, Elsevier, 2016. 〈hal-01367825〉



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