Modelling bicycle use intention: the role of perceptions

Users’ perceptions are identified as key elements to understand bicycle use, whose election cannot be explained with usual mobility variables and socio-economic characteristics. A hybrid model is proposed to model the intention of bicycle use; it combines a structural equations model that captures i...

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Detalles Bibliográficos
Autores: Fernández Heredia, Álvaro, Jara Díaz, Sergio, Monzón de Cáceres, Andrés
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universidad Europea (UEM)
Repositorio:ABACUS. Repositorio de Producción Científica
Idioma:inglés
OAI Identifier:oai:abacus.universidadeuropea.com:11268/3936
Acceso en línea:http://hdl.handle.net/11268/3936
Access Level:acceso abierto
Palabra clave:Bicycle use models
Cyclist perceptions
Hybrid models
Latent variables
Ciclismo
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spelling Modelling bicycle use intention: the role of perceptionsFernández Heredia, ÁlvaroJara Díaz, SergioMonzón de Cáceres, AndrésBicycle use modelsCyclist perceptionsHybrid modelsLatent variablesCiclismoUsers’ perceptions are identified as key elements to understand bicycle use, whose election cannot be explained with usual mobility variables and socio-economic characteristics. A hybrid model is proposed to model the intention of bicycle use; it combines a structural equations model that captures intentions and a choice model. The framework is applied to a case of a university campus in Madrid that is studying a new internal bike system. Results show that four latent variables (convenience, pro-bike, physical determinants and external restrictions) help explaining intention to use bike, representing a number of factors that are linked to individual perceptions.20152015-04-3020162016-01-0120162016-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttp://hdl.handle.net/11268/3936reponame:ABACUS. Repositorio de Producción Científicainstname:Universidad Europea (UEM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:abacus.universidadeuropea.com:11268/39362026-06-11T12:41:27Z
dc.title.none.fl_str_mv Modelling bicycle use intention: the role of perceptions
title Modelling bicycle use intention: the role of perceptions
spellingShingle Modelling bicycle use intention: the role of perceptions
Fernández Heredia, Álvaro
Bicycle use models
Cyclist perceptions
Hybrid models
Latent variables
Ciclismo
title_short Modelling bicycle use intention: the role of perceptions
title_full Modelling bicycle use intention: the role of perceptions
title_fullStr Modelling bicycle use intention: the role of perceptions
title_full_unstemmed Modelling bicycle use intention: the role of perceptions
title_sort Modelling bicycle use intention: the role of perceptions
dc.creator.none.fl_str_mv Fernández Heredia, Álvaro
Jara Díaz, Sergio
Monzón de Cáceres, Andrés
author Fernández Heredia, Álvaro
author_facet Fernández Heredia, Álvaro
Jara Díaz, Sergio
Monzón de Cáceres, Andrés
author_role author
author2 Jara Díaz, Sergio
Monzón de Cáceres, Andrés
author2_role author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Bicycle use models
Cyclist perceptions
Hybrid models
Latent variables
Ciclismo
topic Bicycle use models
Cyclist perceptions
Hybrid models
Latent variables
Ciclismo
description Users’ perceptions are identified as key elements to understand bicycle use, whose election cannot be explained with usual mobility variables and socio-economic characteristics. A hybrid model is proposed to model the intention of bicycle use; it combines a structural equations model that captures intentions and a choice model. The framework is applied to a case of a university campus in Madrid that is studying a new internal bike system. Results show that four latent variables (convenience, pro-bike, physical determinants and external restrictions) help explaining intention to use bike, representing a number of factors that are linked to individual perceptions.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-04-30
2016
2016-01-01
2016
2016-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/11268/3936
url http://hdl.handle.net/11268/3936
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:ABACUS. Repositorio de Producción Científica
instname:Universidad Europea (UEM)
instname_str Universidad Europea (UEM)
reponame_str ABACUS. Repositorio de Producción Científica
collection ABACUS. Repositorio de Producción Científica
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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