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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.
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Contributor : Aline Carneiro Viana Connect in order to contact the contributor
Submitted on : Friday, February 17, 2017 - 4:53:06 PM
Last modification on : Thursday, January 20, 2022 - 4:12:29 PM
Long-term archiving on: : Thursday, May 18, 2017 - 3:12:42 PM


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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, 2016. ⟨hal-01367825⟩



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