SOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNING

dc.contributor.affiliationDepartamento de Ingeniería e Infraestructura de los Transportes
dc.contributor.affiliationInstituto del Transporte y Territorio
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos
dc.contributor.authorRuiz Sánchez, Tomás
dc.contributor.authorMars Aicart, María del Lidónes_ES
dc.contributor.authorArroyo-López, María Rosa
dc.contributor.authorSerna Nocedal, Ainhoaes_ES
dc.date.accessioned2018-02-23T10:39:35Z
dc.date.available2018-02-23T10:39:35Z
dc.date.issued2016-06-01
dc.description.abstract[EN] The characteristics of people who are related or tied to each individual affects her activitytravel behavior. That influence is especially associated to social and recreational activities, which are increasingly important. Collecting high quality data from those social networks is very difficult, because respondents are asked about their general social life, which is most demanding to remember that specific facts. On the other hand, currently there are different potential sources of transport data, which is characterized by the huge amount of information available, the velocity with it is obtained and the variety of format in which is presented. This sort of information is commonly known as Big Data. In this paper we identify potential sources of social network related big data that can be used in Transport Planning. Then, a review of current applications in Transport Planning is presented. Finally, some future prospects of using social network related big data are highlighted.en_EN
dc.description.accrualMethodOCSes_ES
dc.description.bibliographicCitationRuiz Sánchez, T.; Mars Aicart, MDL.; Arroyo López, MR.; Serna Nocedal, A. (2016). SOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNING. En XII Congreso de ingeniería del transporte. 7, 8 y 9 de Junio, Valencia (España). Editorial Universitat Politècnica de València. 1184-1191. https://doi.org/10.4995/CIT2016.2016.4251es_ES
dc.description.sponsorshipThis paper presents a review of the use of data from Social Media and mobile phones to infer social interactions characteristics, and how those results are being used in the field of Transport Planning. The aim of MINERVA project is to contribute to enhance the Transport Planning process through improving data collection methods for travel demand forecasting. MINERVA’s aim is to complete travel survey data with Social Network and travel behavior information inferred from the use of Social Media and mobile phones.es_ES
dc.description.upvformatpfin1191es_ES
dc.description.upvformatpinicio1184es_ES
dc.format.extent8es_ES
dc.identifier.doi10.4995/CIT2016.2016.4251
dc.identifier.isbn9788460899600
dc.identifier.urihttps://riunet.upv.es/handle/10251/98380
dc.languageEspañoles_ES
dc.publisherEditorial Universitat Politècnica de Valènciaes_ES
dc.relation.conferencedateJune 07-09,2016es_ES
dc.relation.conferencenameCIT2016. Congreso de Ingeniería del Transportees_ES
dc.relation.conferenceplaceValencia, Spaines_ES
dc.relation.ispartofXII Congreso de ingeniería del transporte. 7, 8 y 9 de Junio, Valencia (España)es_ES
dc.relation.pasarelaOCS\4251es_ES
dc.relation.publisherversionhttp://ocs.editorial.upv.es/index.php/CIT/CIT2016/paper/view/4251es_ES
dc.rightsReconocimiento - No comercial - Sin obra derivada (by-nc-nd)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectINGENIERÍA DEL TRANSPORTEes_ES
dc.subject.classificationINGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTESes_ES
dc.titleSOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNINGes_ES
dc.typeCapítulo de libroes_ES
dc.typeComunicación en congresoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier10225
person.identifier326660
person.identifier.orcid0000-0002-6943-0725
person.identifier.orcid0000-0003-3852-0709
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relation.isAuthorOfPublication.latestForDiscovery3f6bd7e3-b39e-432f-96ce-3f142eb567ce
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upv.uuidf025094a-e396-4357-94f1-4fe01fcf5d47es_ES

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