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dc.contributor.authorLenormand, Maxime-
dc.contributor.authorPicornell, Miguel-
dc.contributor.authorCantu Ros, O. G.-
dc.contributor.authorLouail, Thomas-
dc.contributor.authorHerranz, Ricardo-
dc.contributor.authorBarthelemy, Marc-
dc.contributor.authorFrías-Martínez, Enrique-
dc.contributor.authorSan Miguel, Maxi-
dc.contributor.authorRamasco, José J.-
dc.date.accessioned2016-06-14T06:29:49Z-
dc.date.available2016-06-14T06:29:49Z-
dc.date.issued2015-12-
dc.identifierissn: 2054-5703-
dc.identifier.citationRoyal Society Open Science 2: 150449 (2015)-
dc.identifier.urihttp://hdl.handle.net/10261/133389-
dc.description.abstractThe advent of geolocated information and communication technologies opens the possibility of exploring how people use space in cities, bringing an important new tool for urban scientists and planners, especially for regions where data are scarce or not available. Here we apply a functional network approach to determine land use patterns from mobile phone records. The versatility of the method allows us to run a systematic comparison between Spanish cities of various sizes. The method detects four major land use types that correspond to different temporal patterns. The proportion of these types, their spatial organization and scaling show a strong similarity between all cities that breaks down at a very local scale, where land use mixing is specific to each urban area. Finally, we introduce a model inspired by Schelling's segregation, able to explain and reproduce these results with simple interaction rules between different land uses.-
dc.description.sponsorshipPartial financial support was received from the Spanish Ministry of Economy (MINECO) and FEDER (EU) under project INTENSE@COSYP (FIS2012-30634), and from the EU Commission through projects LASAGNE and INSIGHT. The work of M.L. was funded under the PD/004/2013 project, from the Conselleria de Educación, Cultura y Universidades of the Government of the Balearic Islands and from the European Social Fund through the Balearic Islands ESF operational programme for 2013–2017. J.J.R. acknowledges funding from the Ramón y Cajal program of MINECO.-
dc.publisherRoyal Society (Great Britain)-
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/318132-
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/611307-
dc.relation.isversionofPublisher's version-
dc.rightsopenAccess-
dc.subjectCall detail record-
dc.subjectPopulation distribution-
dc.subjectHuman mobility-
dc.subjectNetwork-
dc.subjectLand use-
dc.titleComparing and modelling land use organization in cities-
dc.typeartículo-
dc.identifier.doi10.1098/rsos.150449-
dc.relation.publisherversionhttp://dx.doi.org/10.1098/rsos.150449-
dc.date.updated2016-06-14T06:29:49Z-
dc.description.versionPeer Reviewed-
dc.language.rfc3066eng-
dc.rights.licensehttp://creativecommons.org/licenses/by/4.0-
dc.contributor.funderMinisterio de Economía y Competitividad (España)-
dc.contributor.funderEuropean Commission-
dc.contributor.funderEuropean Science Foundation-
dc.contributor.funderGovern de les Illes Balears-
dc.relation.csic-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000782es_ES
dc.identifier.pmid27019730-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
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