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dc.contributor.authorSimini, Filippo
dc.contributor.authorGonzalez, Marta C.
dc.contributor.authorMaritan, Amos
dc.contributor.authorBarabasi, Albert-Laszlo
dc.date.accessioned2013-03-13T19:40:15Z
dc.date.available2013-03-13T19:40:15Z
dc.date.issued2012-02
dc.date.submitted2011-08
dc.identifier.issn0028-0836
dc.identifier.issn1476-4687
dc.identifier.urihttp://hdl.handle.net/1721.1/77896
dc.description.abstractIntroduced in its contemporary form in 1946 (ref. 1), but with roots that go back to the eighteenth century2, the gravity law1, 3, 4 is the prevailing framework with which to predict population movement3, 5, 6, cargo shipping volume7 and inter-city phone calls8, 9, as well as bilateral trade flows between nations10. Despite its widespread use, it relies on adjustable parameters that vary from region to region and suffers from known analytic inconsistencies. Here we introduce a stochastic process capturing local mobility decisions that helps us analytically derive commuting and mobility fluxes that require as input only information on the population distribution. The resulting radiation model predicts mobility patterns in good agreement with mobility and transport patterns observed in a wide range of phenomena, from long-term migration patterns to communication volume between different regions. Given its parameter-free nature, the model can be applied in areas where we lack previous mobility measurements, significantly improving the predictive accuracy of most of the phenomena affected by mobility and transport processes11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23.en_US
dc.description.sponsorshipU.S. Army Research Laboratory (Agreement Number W911NF-09-2-0053)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Agreement N000141010968)en_US
dc.description.sponsorshipU.S. Army Research Laboratory (Agreement W911NF-09-2-0053)en_US
dc.description.sponsorshipJames S. McDonnell Foundation (21st Century Initiative in Studying Complex Systems)en_US
dc.description.sponsorshipUnited States. Defense Threat Reduction Agency (Award BRBAA08-Per4-C-2-0033)en_US
dc.description.sponsorshipUnited States. Defense Threat Reduction Agency (Award WMD BRBAA07-J-2-0035)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nature10856en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourcearXiven_US
dc.titleA universal model for mobility and migration patternsen_US
dc.typeArticleen_US
dc.identifier.citationSimini, Filippo et al. “A Universal Model for Mobility and Migration Patterns.” Nature 484.7392 (2012): 96–100.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.mitauthorGonzalez, Marta C.
dc.relation.journalNatureen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsSimini, Filippo; González, Marta C.; Maritan, Amos; Barabási, Albert-Lászlóen
dc.identifier.orcidhttps://orcid.org/0000-0002-8482-0318
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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