Metropolitan Migratory Trends in the Post‐Pandemic Context. Analysis of the Madrid Region Based on Mobile Phone Network Data

dc.contributor.authorMarigil Alba, Carlos
dc.contributor.authorRomanillos Arroyo, Gustavo
dc.contributor.authorGarcía Palomares, Juan Carlos
dc.contributor.authorSánchez Cauce, Raquel
dc.date.accessioned2025-11-20T06:52:57Z
dc.date.available2025-11-20T06:52:57Z
dc.date.issued2025
dc.description.abstractThis paper aims to enrich the current literature on the study of migratory movements in the context of COVID‐19 and the post‐ pandemic period. While most of the studies on this topic measure migration using official registers, we propose a new methodology based on the leverage of mobile phone network data, taken from the Madrid region, as a case study. While the use of such data are common in other fields, such as transport and mobility planning, we demonstrate their usefulness in the study of migration. Analysing the case of Madrid, we find new evidence of the changes in migratory trends during COVID‐19, of increased immigration into rural and outer suburban areas and emigration from core urban areas. A geographical description of the new migration trends is provided on different scales (from the national to the metropolitan and municipal scale, including small urban transportation zones), and by socioeconomic group. In addition, we provide some ideas about these trends in the post‐pandemic context, as the evolution of migratory trends varies for different groups.
dc.description.departmentDepto. de Geografía
dc.description.facultyFac. de Geografía e Historia
dc.description.refereedTRUE
dc.description.sponsorshipMICIU/AEI/10.13039/501100011033/ and ‘European Union NextGenerationEU/PRTR’
dc.description.statuspub
dc.identifier.citationMarigil‐Alba, Carlos, et al. «Metropolitan Migratory Trends in the Post‐Pandemic Context. Analysis of the Madrid Region Based on Mobile Phone Network Data». Population, Space and Place, vol. 31, n.o 3, abril de 2025, p. e70017. DOI.org (Crossref), https://doi.org/10.1002/psp.70017.
dc.identifier.doi10.1002/psp.70017
dc.identifier.officialurlhttps://doi.org/10.1002/psp.70017
dc.identifier.relatedurlhttps://onlinelibrary.wiley.com/doi/10.1002/psp.70017
dc.identifier.urihttps://hdl.handle.net/20.500.14352/126269
dc.issue.number3
dc.journal.titlePopulation, Space and Place
dc.language.isoeng
dc.publisherWiley
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PCI2020-120706-2/ES/DEEP LEARNING ANTICIPATED URBAN MOBILITY PEAKS/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116656RB-I00/ES/EVALUACION, ANALISIS Y PREDICCION DE LOS CAMBIOS EN LA MOVILIDAD URBANA TRAS LA PANDEMIA A PARTIR DE BIG DATA GEOLOCALIZADO/
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.keywordCOVID‐19
dc.subject.keywordMadrid
dc.subject.keywordMetropolitan areas
dc.subject.keywordMobile phone network data
dc.subject.keywordResidential migration
dc.subject.ucmCiencias Sociales
dc.subject.ucmGeografía humana
dc.subject.ucmSistemas de información geográfica
dc.subject.unesco54 Geografía
dc.titleMetropolitan Migratory Trends in the Post‐Pandemic Context. Analysis of the Madrid Region Based on Mobile Phone Network Data
dc.typejournal article
dc.volume.number31
dspace.entity.typePublication
relation.isAuthorOfPublication7af12201-dd9c-4deb-8f3e-16bacc43e6dd
relation.isAuthorOfPublicationb25b5524-305e-4aa0-a30e-5b15a398806c
relation.isAuthorOfPublication.latestForDiscovery7af12201-dd9c-4deb-8f3e-16bacc43e6dd

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