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Cited by 6,059

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Understanding individual human mobility patterns

Open access
González, Marta C., Hidalgo, César A., Barabási, Albert-László·2008·Nature
DOI 10.1038/nature06958
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Abstract

Despite their importance for urban planning, traffic forecasting and the spread of biological and mobile viruses, our understanding of the basic laws governing human motion remains limited owing to the lack of tools to monitor the time-resolved location of individuals. Here we study the trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six-month period. We find that, in contrast with the random trajectories predicted by the prevailing Lévy flight and random walk models, human trajectories show a high degree of temporal and spatial regularity, each individual being characterized by a time-independent characteristic travel distance and a significant probability to return to a few highly frequented locations. After correcting for differences in travel distances and the inherent anisotropy of each trajectory, the individual travel patterns collapse into a single spatial probability distribution, indicating that, despite the diversity of their travel history, humans follow simple reproducible patterns. This inherent similarity in travel patterns could impact all phenomena driven by human mobility, from epidemic prevention to emergency response, urban planning and agent-based modelling.

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Citations

Cites

Research works printed but not linked: 28

  1. Horner, M. W. & O’Kelly, M. E. S Embedding economies of scale concepts for hub networks design. J. Transp. Geogr. 9, 255–265 (2001) · DOI
  2. Kitamura, R., Chen, C., Pendyala, R. M. & Narayaran, R. Micro-simulation of daily activity-travel patterns for travel demand forecasting. Transportation 27, 25–51 (2000) · DOI
  3. Colizza, V., Barrat, A., Barthélémy, M., Valleron, A.-J. & Vespignani, A. Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions. PLoS Medicine 4, 95–110 (2007) · DOI · Paper page
  4. Eubank, S. et al. Controlling epidemics in realistic urban social networks. Nature 429, 180–184 (2004) · DOI · Paper page
  5. Hufnagel, L., Brockmann, D. & Geisel, T. Forecast and control of epidemics in a globalized world. Proc. Natl Acad. Sci. USA 101, 15124–15129 (2004) · DOI · Paper page
  6. Kleinberg, J. The wireless epidemic. Nature 449, 287–288 (2007) · DOI
  7. Brockmann, D. D., Hufnagel, L. & Geisel, T. The scaling laws of human travel. Nature 439, 462–465 (2006) · DOI · Paper page
  8. Havlin, S. & Ben-Avraham, D. Diffusion in disordered media. Adv. Phys. 51, 187–292 (2002) · DOI · Paper page
  9. Viswanathan, G. M. et al. Lévy flight search patterns of wandering albatrosses. Nature 381, 413–415 (1996) · DOI · Paper page
  10. Ramos-Fernandez, G. et al. Lévy walk patterns in the foraging movements of spider monkeys (Ateles geoffroyi). Behav. Ecol. Sociobiol. 273, 1743–1750 (2004)
  11. Sims, D. W. et al. Scaling laws of marine predator search behaviour. Nature 451, 1098–1102 (2008) · DOI · Paper page
  12. Klafter, J., Shlesinger, M. F. & Zumofen, G. Beyond brownian motion. Phys. Today 49, 33–39 (1996) · DOI · Paper page
  13. Mantegna, R. N. & Stanley, H. E. Stochastic process with ultraslow convergence to a gaussian: the truncated Lévy flight. Phys. Rev. Lett. 73, 2946–2949 (1994) · DOI · Paper page
  14. Edwards, A. M. et al. Revisiting Lévy flight search patterns of wandering albatrosses, bumblebees and deer. Nature 449, 1044–1049 (2007) · DOI · Paper page
  15. Sohn, T. et al. in Proc. 8th Int. Conf. UbiComp 2006 212–224 (Springer, Berlin, 2006) · DOI · Paper page
  16. Onnela, J.-P. et al. Structure and tie strengths in mobile communication networks. Proc. Natl Acad. Sci. USA 104, 7332–7336 (2007) · DOI · Paper page
  17. González, M. C. & Barabási, A.-L. Complex networks: from data to models. Nature Physics 3, 224–225 (2007) · DOI
  18. Palla, G., Barabási, A.-L. & Vicsek, T. Quantifying social group evolution. Nature 446, 664–667 (2007) · DOI · Paper page
  19. Hidalgo, C. A. & Rodriguez-Sickert, C. The dynamics of a mobile phone network. Physica A 387, 3017–3024 (2008) · DOI
  20. Redner, S. A Guide to First-Passage Processes (Cambridge Univ. Press, Cambridge, UK, 2001) · DOI · Paper page
  21. Condamin, S., Bénichou, O., Tejedor, V. & Klafter, J. First-passage times in complex scale-invariant media. Nature 450, 77–80 (2007) · DOI · Paper page
  22. Schlich, R. & Axhausen, K. W. Habitual travel behaviour: evidence from a six-week travel diary. Transportation 30, 13–36 (2003) · DOI · Paper page
  23. Eagle, N. & Pentland, A. Eigenbehaviours: identifying structure in routine. Behav. Ecol. Sociobiol. (in the press)
  24. Yook, S.-H., Jeong, H. & Barabási, A. L. Modeling the Internet’s large-scale topology. Proc. Natl Acad. Sci. USA 99, 13382–13386 (2002) · DOI · Paper page
  25. Caldarelli, G. Scale-Free Networks: Complex Webs in Nature and Technology. (Oxford Univ. Press, New York, 2007) · DOI · Paper page
  26. Song, C. M., Havlin, S. & Makse, H. A. Self-similarity of complex networks. Nature 433, 392–395 (2005) · DOI · Paper page
  27. González, M. C., Lind, P. G. & Herrmann, H. J. A system of mobile agents to model social networks. Phys. Rev. Lett. 96, 088702 (2006) · DOI
  28. Cecconi, F., Marsili, M., Banavar, J. R. & Maritan, A. Diffusion, peer pressure, and tailed distributions. Phys. Rev. Lett. 89, 088102 (2002) · DOI

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Metadata

Authors
González, M. C., Hidalgo, C. A., & Barabási, A.-L.
Venue
Nature
Publisher
Springer Science and Business Media LLC
Published
2008-06-05
Volume
453
Issue
7196
Pages
779-782
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
DOI
10.1038/nature06958
OpenAlex
W1982300822
Cited by
6,059
References
2
FWCI
573.58
Type
journal article
Language
en
Update notices
erratum (2009-03-12)
Open access
green
Licence

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