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dc.contributor.authorKamargianni, Maria
dc.contributor.authorPolydoropoulou, Amalia
dc.contributor.authorBen-Akiva, Moshe E.
dc.date.accessioned2016-06-24T18:20:25Z
dc.date.available2016-06-24T18:20:25Z
dc.date.issued2014-09
dc.identifier.issn0049-4488
dc.identifier.issn1572-9435
dc.identifier.urihttp://hdl.handle.net/1721.1/103332
dc.description.abstractThe aim of this paper is to develop a methodological framework for the incorporation of social interaction effects into choice models. The developed method provides insights for modeling the effect of social interaction on the formation of psychological factors (latent variables) and on the decision-making process. The assumption is based on the fact that the way the decision maker anticipates and processes the information regarding the behavior and the choices exhibited in her/his social environment, affects her/his attitudes and perceptions, which in turn affect her/his choices. The proposed method integrates choice models with decision makers’ psychological factors and latent social interaction. The model structure is simultaneously estimated providing an improvement over sequential methods as it provides consistent and efficient estimates of the parameters. The methodology is tested within the context of a household aiming to identify the social interaction effects between teenagers and their parents regarding walking-loving behavior and then the effect of this on mode to school choice behavior. The sample consists of 9,714 participants aged from 12 to 18 years old, representing 21 % of the adolescent population of Cyprus. The findings from the case study indicate that if the teenagers anticipate that their parents are walking lovers, then this increases the probability of teenagers to be walking-lovers too and in turn to choose walking to school. Generally, the findings from the application result in: (a) improvements in the explanatory power of choice models, (b) latent variables that are statistically significant, and (c) a real-world behavioral representation that includes the social interaction effect.en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s11116-014-9550-5en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringer USen_US
dc.titleIncorporating social interaction into hybrid choice modelsen_US
dc.typeArticleen_US
dc.identifier.citationKamargianni, Maria, Moshe Ben-Akiva, and Amalia Polydoropoulou. “Incorporating Social Interaction into Hybrid Choice Models.” Transportation 41.6 (2014): 1263–1285.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.mitauthorBen-Akiva, Moshe E.en_US
dc.relation.journalTransportationen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-05-23T09:38:39Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.orderedauthorsKamargianni, Maria; Ben-Akiva, Moshe; Polydoropoulou, Amaliaen_US
dspace.embargo.termsNen_US
mit.licensePUBLISHER_CCen_US


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