dc.creatorYáñez Castillo, María Francisca
dc.creatorRaveau Feliú, Sebastián
dc.creatorOrtúzar Salas, Juan de Dios
dc.date.accessioned2023-06-16T16:37:42Z
dc.date.available2023-06-16T16:37:42Z
dc.date.created2023-06-16T16:37:42Z
dc.date.issued2010
dc.identifier10.1016/j.tra.2010.07.007
dc.identifier0965-8564
dc.identifiers2.0-77956318583
dc.identifierhttps://doi.org/10.1016/j.tra.2010.07.007
dc.identifierhttps://repositorio.uc.cl/handle/11534/73483
dc.identifierWOS:000282485400007
dc.description.abstractTravel demand models typically use mainly objective modal attributes as explanatory variables. Nevertheless, it has been well known for many years that attitudes and perceptions also influence users' behaviour. The use of hybrid discrete choice models constitutes a good alternative to incorporate the effect of subjective factors. We estimated hybrid models in a short-survey panel context for data among many alternatives. The paper analyses the results of applying these models to a real urban case study, and also proposes an approach to forecasting using these models. Our results show that hybrid models are clearly superior to even highly flexible traditional models that ignore the effect of subjective attitudes and perceptions.
dc.languageen
dc.rightsacceso restringido
dc.subjectLatent variables
dc.subjectDiscrete choice models
dc.subjectMixed Logit
dc.subjectForecasting
dc.titleInclusion of latent variables in Mixed Logit models: Modelling and forecasting
dc.typeartículo


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