Dissecting global air traffic data to discern different types and trends of transnational human mobility

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dc.contributor.authorGABRIELLI, Lorenzo
dc.contributor.authorDEUTSCHMANN, Emanuel
dc.contributor.authorNATALE, Fabrizio
dc.contributor.authorRECCHI, Ettore
dc.contributor.authorVESPE, Michele
dc.date.accessioned2019-09-13T14:19:37Z
dc.date.available2019-09-13T14:19:37Z
dc.date.issued2019
dc.description.abstractHuman mobility across national borders is a key phenomenon of our time. At the global scale, however, we still know relatively little about the structure and nature of such transnational movements. This study uses a large dataset on monthly air passenger traffic between 239 countries worldwide from 2010 to 2018 to gain new insights into (a) mobility trends over time and (b) types of mobility. A time series decomposition is used to extract a trend and a seasonal component. The trend component permits—at a higher level of granularity than previous sources—to examine the development of mobility between countries and to test how it is affected by policy and infrastructural changes, economic developments, and violent conflict. The seasonal component allows, by measuring the lag between initial and return motion, to discern different types of mobility, from tourism to seasonal work migration. Moreover, the exact shape of seasonal mobility patterns is extracted, allowing to identify regular mobility peaks and nadirs throughout the year. The result is a unique classification of trends and types of mobility for a global set of country pairs. A range of implications and possible applications are discussed.en
dc.identifier.citationEPJ Data Science, 2019, Vol. 8, Art. 26, OnlineOnlyen
dc.identifier.doi10.1140/epjds/s13688-019-0204-x
dc.identifier.issn2193-1127
dc.identifier.issue26en
dc.identifier.other26
dc.identifier.urihttps://hdl.handle.net/1814/64106
dc.identifier.volume8en
dc.language.isoenen
dc.orcid.putcode1814/79732:61573076
dc.orcid.putcode1814/80859:80662789
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dc.publisherSpringeren
dc.relation.ispartofEPJ data scienceen
dc.relation.ispartofseries[Migration Policy Centre]en
dc.relation.ispartofseries[Global Mobilities Project]en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rights.licenseAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectMobilityen
dc.subjectMigrationen
dc.subjectAir trafficen
dc.subjectMigrant seasonal workersen
dc.subjectTourismen
dc.titleDissecting global air traffic data to discern different types and trends of transnational human mobilityen
dc.typeArticleen
dspace.entity.typePublication
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person.identifier.orcid0000-0001-7497-2150
person.identifier.other52824
person.identifier.other43045
person.identifier.other27333
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relation.isAuthorOfPublication.latestForDiscovery8aabe0ca-0e54-4abd-b22a-c9cde0b073ab
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