Understanding individual human mobility patterns

Marta C. González, César A. Hidalgo and Albert-László Barabási ()
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Marta C. González: Biology and Computer Science, Northeastern University, Boston, Massachusetts 02115, USA
César A. Hidalgo: Biology and Computer Science, Northeastern University, Boston, Massachusetts 02115, USA
Albert-László Barabási: Biology and Computer Science, Northeastern University, Boston, Massachusetts 02115, USA

Nature, 2008, vol. 453, issue 7196, 779-782

Abstract: Patterns of mobility: Laws for human motion The mapping of large-scale human movements is important for urban planning, traffic forecasting and epidemic prevention. Work in animals had suggested that their foraging might be explained in terms of a random walk, a mathematical rendition of a series of random steps, or a Lévy flight, a random walk punctuated by occasional larger steps. The role of Lévy statistics in animal behaviour is much debated — as explained in an accompanying News Feature — but the idea of extending it to human behaviour was boosted by a report in 2006 of Lévy flight-like patterns in human movement tracked via dollar bills. A new human study, based on tracking the trajectory of 100,000 cell-phone users for six months, reveals behaviour close to a Lévy pattern, but deviating from it as individual trajectories show a high degree of temporal and spatial regularity: work and other commitments mean we are not as free to roam as a foraging animal. But by correcting the data to accommodate individual variation, simple and predictable patterns in human travel begin to emerge. The cover photo (by Cesar Hidalgo) captures human mobility in New York's Grand Central Station.

Date: 2008
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DOI: 10.1038/nature06958

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