Incorporating psychological needs in commute mode choice modelling: a hybrid choice framework

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dc.catalogadorgjm
dc.contributor.authorIngvardson, Jesper Blafoss
dc.contributor.authorThorhauge, Mikkel
dc.contributor.authorKaplan, Sigal
dc.contributor.authorNielsen, Otto Anker
dc.contributor.authorRaveau Feliú, Sebastián
dc.date.accessioned2023-06-16T13:59:13Z
dc.date.available2023-06-16T13:59:13Z
dc.date.issued2021
dc.description.abstractThis study proposes an integrated choice and latent variable model (ICLV) for commute mode choice that incorporates satisfaction of human needs and perceived functional and psychological barriers to using certain modes. The modelling framework is validated by data from a survey of commuters in the Greater Copenhagen area, which has large numbers of car users, public transport riders and bicyclists. The model results suggest that higher bicycle use is correlated to positive cycling self-concepts. Similarly, the commute choice of driving is positively correlated with car self-concepts and negatively correlated with functional difficulties in car use. Respondents with a strong focus on functional travel needs are most likely to commute using a car and least likely to use public transport. Evaluation of the effects of improving conditions for bicycles showed that the latent variables had a large influence on the potential mode shifts, highlighting that the mode choice of travellers is largely associated with mode-specific perceptions and fulfilment of travel needs rather than solely level-of-service characteristics. By analysing the mode shifts across the latent variables, further insights on the motives for travel behaviour decisions were obtained, thereby highlighting the superiority of ICLV models to simple multinomial logit models. Furthermore, the study also revealed that socio-economic variables could explain mode choice both directly and indirectly through their impact on the latent variables. This means that a given policy might have a different impact according to the present ICLV model than when estimated by traditional models.
dc.description.funderDanish Metro Company - Innovation Fund Denmark
dc.description.funderEU Cost action 1209 for Transport Equity Analysis
dc.fechaingreso.objetodigital2023-06-16
dc.format.extent29 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1007/s11116-021-10230-3
dc.identifier.eissn1572-9435
dc.identifier.issn0049-4488
dc.identifier.urihttps://doi.org/10.1007/s11116-021-10230-3
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/73478
dc.identifier.wosidWOS:000696758500001
dc.information.autorucEscuela de Ingeniería; Raveau Feliú, Sebastián; 0000-0003-2883-6742; 141271
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final1889
dc.pagina.inicio1861
dc.revistaTransportation
dc.rightsacceso restringido
dc.subjectPublic transport
dc.subjectBicycles
dc.subjectMode choice
dc.subjectTravel needs
dc.subjectSustainable transport
dc.subjectHybrid choice models
dc.subject.ods11 Sustainable Cities and Communities
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.titleIncorporating psychological needs in commute mode choice modelling: a hybrid choice framework
dc.typeartículo
dc.volumen49
sipa.codpersvinculados141271
sipa.indexWOS
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