Publication Date:
2008-06-06
Description:
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 Levy 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.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gonzalez, Marta C -- Hidalgo, Cesar A -- Barabasi, Albert-Laszlo -- England -- Nature. 2008 Jun 5;453(7196):779-82. doi: 10.1038/nature06958.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Complex Network Research and Department of Physics, Biology and Computer Science, Northeastern University, Boston, Massachusetts 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18528393" target="_blank"〉PubMed〈/a〉
Keywords:
Cell Phones/*statistics & numerical data
;
Disaster Planning
;
Geographic Information Systems
;
Humans
;
*Locomotion
;
Models, Statistical
;
Probability
;
Travel/*statistics & numerical data
Print ISSN:
0028-0836
Electronic ISSN:
1476-4687
Topics:
Biology
,
Chemistry and Pharmacology
,
Medicine
,
Natural Sciences in General
,
Physics
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