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SOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNING

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SOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNING

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dc.contributor.author Ruiz Sánchez, Tomás es_ES
dc.contributor.author Mars Aicart, María del Lidón es_ES
dc.contributor.author Arroyo López, María Rosa es_ES
dc.contributor.author Serna Nocedal, Ainhoa es_ES
dc.date.accessioned 2018-02-23T10:39:35Z
dc.date.available 2018-02-23T10:39:35Z
dc.date.issued 2016-06-01
dc.identifier.isbn 9788460899600
dc.identifier.uri http://hdl.handle.net/10251/98380
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. es_ES
dc.description.sponsorship This 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.format.extent 8 es_ES
dc.language Español es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof XII Congreso de ingeniería del transporte. 7, 8 y 9 de Junio, Valencia (España) es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject INGENIERÍA DEL TRANSPORTE es_ES
dc.subject.classification INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES es_ES
dc.title SOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNING es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CIT2016.2016.4251
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería e Infraestructura de los Transportes - Departament d'Enginyeria i Infraestructura dels Transports es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto del Transporte y Territorio - Institut del Transport i Territori es_ES
dc.description.bibliographicCitation Ruiz 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/CIT2016.2016.4251 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CIT2016. Congreso de Ingeniería del Transporte es_ES
dc.relation.conferencedate June 07-09,2016 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CIT/CIT2016/paper/view/4251 es_ES
dc.description.upvformatpinicio 1184 es_ES
dc.description.upvformatpfin 1191 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\4251 es_ES


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