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Social media and urban mobility: Using twitter to calculate home-work travel matrices

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dc.contributor.authorGarcía Palomares, Juan Carlos
dc.contributor.authorOsorio Arjona, Joaquín
dc.date.accessioned2024-05-20T11:29:45Z
dc.date.available2024-05-20T11:29:45Z
dc.date.issued2019-06-01
dc.description.abstractThe proliferation of Big Data is beneficial to the study of mobility patterns in cities. This work investigates the use of social media as an efficient tool for urban mobility studies. In this case, the social network Twitter has been used, due to its wealth of spatial and temporal data and the possibility of accessing data free of charge. Using a database of geotagged tweets in the Madrid Metropolitan Area over a two-year period, this article describes the steps followed in the preparation and cleansing of the initial data and the visualisation of the results in Geographic Information Systems in the form of home-work matrices. The Origin-Destination matrices obtained were then compared with the official data provided by the Madrid Transport Consortium from the 2014 Synthetic Mobility Survey. The results of this comparison demonstrate that the level of precision offered by Twitter as a source of geographic information is adequate and efficient, thereby permitting a more in-depth analysis of flows between different zones of interest in the study area.en
dc.description.versionversión publicada
dc.identifier.doihttps://doi.org/10.1016/j.cities.2019.03.006
dc.identifier.issn0264-2751; eISSN: 1873-6084
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12105
dc.journal.titleCities
dc.journal.volume89
dc.language.isoen
dc.publisherElsevier
dc.relation.centerFacultad de Geografía e Historia
dc.relation.departmentGeografía
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordsSocial networks
dc.subject.keywordsMobility
dc.subject.keywordsGeographic information systems
dc.subject.keywordsTwitter
dc.subject.keywordsHome-work matrices
dc.titleSocial media and urban mobility: Using twitter to calculate home-work travel matriceses
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublicationa9f4b2b0-e614-4fc7-8923-05a109844927
relation.isAuthorOfPublication.latestForDiscoverya9f4b2b0-e614-4fc7-8923-05a109844927
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