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dc.contributor.authorSanti Phithakkitnukoonen_US
dc.contributor.authorTitipat Sukhvibulen_US
dc.contributor.authorMerkebe Demissieen_US
dc.contributor.authorZbigniew Smoredaen_US
dc.contributor.authorJuggapong Natwichaien_US
dc.contributor.authorCarlos Bentoen_US
dc.description.abstract© 2017, The Author(s). A longitudinal mobile phone data that include both location and communication logs is analyzed to infer social influence in terms of ego-network effect in the commute mode choice. The results show that person’s strong ties are more important to determine if driving is the person’s transport mode choice, whereas weak ties are more important to determine if public transit is the person’s choice. It is also evident from the results that social ties that are geographically closer are more influential for the commute mode choice than the ones who are farther away. For public transit, access distance is also one of the influential factors. The portion of transit users decreases as the access distance becomes larger. Moreover, social network is shown to influence the commute mode choice, as the likelihood of choosing a particular mode choice rises with the portion of social ties choosing that specific mode.en_US
dc.subjectComputer Scienceen_US
dc.titleInferring social influence in transport mode choice using mobile phone dataen_US
article.title.sourcetitleEPJ Data Scienceen_US
article.volume6en_US Mai Universityen_US of Calgaryen_US Labsen_US of Coimbra, Centre for Informatics and Systemen_US
Appears in Collections:CMUL: Journal Articles

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