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Journal Articles Pervasive and Mobile Computing Year : 2016

On the Regularity of Human Mobility


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.
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Dates and versions

hal-01367825 , version 1 (17-02-2017)


  • 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, 2016. ⟨hal-01367825⟩
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