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Exploring the potential of phone call data to characterize the relationship between social network and travel behavior

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Exploring the potential of phone call data to characterize the relationship between social network and travel behavior

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dc.contributor.author Picornell Tronch, Miguel es_ES
dc.contributor.author Ruiz Sánchez, Tomás es_ES
dc.contributor.author Lenormand, Maxime es_ES
dc.contributor.author Ramasco, José J. es_ES
dc.contributor.author Dubernet, Thibaut es_ES
dc.contributor.author Frías-Martínez, Enrique es_ES
dc.date.accessioned 2017-06-26T11:28:52Z
dc.date.available 2017-06-26T11:28:52Z
dc.date.issued 2015-07
dc.identifier.issn 0049-4488
dc.identifier.uri http://hdl.handle.net/10251/83635
dc.description.abstract [EN] Social network contacts have significant influence on individual travel behavior. However, transport models rarely consider social interaction. One of the reasons is the difficulty to properly model social influence based on the limited data available. Non-conventional, passively collected data sources, such as Twitter, Facebook or mobile phones, provide large amounts of data containing both social interaction and spatiotemporal information. The analysis of such data opens an opportunity to better understand the influence of social networks on travel behavior. The main objective of this paper is to examine the relationship between travel behavior and social networks using mobile phone data. A huge dataset containing billions of registers has been used for this study. The paper analyzes the nature of co-location events and frequent locations shared by social network contacts, aiming not only to provide understanding on why users share certain locations, but also to quantify the degree in which the different types of locations are shared. Locations have been classified as frequent (home, work and other) and non-frequent. A novel approach to identify co-location events based on the intersection of users' mobility models has been proposed. Results show that other locations different from home and work are frequently associated to social interaction. Additionally, the importance of non-frequent locations in co-location events is shown. Finally, the potential application of the data analysis results to improve activity-based transport models and assess transport policies is discussed. es_ES
dc.description.sponsorship The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper. The research leading to these results has received funding from the European Union Seventh Framework Programme FP7/2007-2013 under grant agreement no 318367 (EUNOIA project) and no 611307 (INSIGHT project). The work of ML has been funded under the PD/004/2013 project, from the Conselleria de Educacion, Cultura y Universidades of the Government of the Balearic Islands and from the European Social Fund through the Balearic Islands ESF operational program for 2013-2017. en_EN
dc.language Inglés es_ES
dc.publisher SPRINGER es_ES
dc.relation.ispartof Transportation es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Travel behavior es_ES
dc.subject Social network es_ES
dc.subject Mobile phone es_ES
dc.subject Call Detail Record es_ES
dc.subject Activity-based modelling es_ES
dc.subject.classification INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.title Exploring the potential of phone call data to characterize the relationship between social network and travel behavior es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11116-015-9594-1
dc.relation.projectID info:eu-repo/grantAgreement/CAIB//PD%2F004%2F2013/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/318367/EU/Evolutive User-centric Networks for Intraurban Accessibility/
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/611307/EU/Innovative Policy Modelling and Governance Tools for Sustainable Post-Crisis Urban Development/
dc.rights.accessRights Abierto 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.description.bibliographicCitation Picornell Tronch, M.; Ruiz Sánchez, T.; Lenormand, M.; Ramasco, JJ.; Dubernet, T.; Frías-Martínez, E. (2015). Exploring the potential of phone call data to characterize the relationship between social network and travel behavior. Transportation. 42(4):647-668. https://doi.org/10.1007/s11116-015-9594-1 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s11116-015-9594-1 es_ES
dc.description.upvformatpinicio 647 es_ES
dc.description.upvformatpfin 668 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 42 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 298455 es_ES
dc.contributor.funder Govern Illes Balears
dc.contributor.funder European Commission
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