Accounting for attitudes on parking choice: An integrated choice and latent variable approach
The well-differentiated impact that parking supply options produce on congestion, pollution and land consumption arouses the interest of policy makers for a better understanding of car user's behavior when choosing a parking option. Despite the evidence on the advantages of hybrid discrete choi...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/8881
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8881
- Palabra clave:
- Attitudes
Hybrid discrete choice models
Latent variables
Parking choice
Values of time
Behavioral research
Equivalence classes
Attitudes
Choice process
Discrete choice models
Goodness of fit
Latent variable
Policy makers
Socioeconomic characteristics
Values of time
Parking
Discrete choice analysis
Heterogeneity
Integrated approach
Numerical model
Parking
Public attitude
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Accounting for attitudes on parking choice: An integrated choice and latent variable approach |
| title |
Accounting for attitudes on parking choice: An integrated choice and latent variable approach |
| spellingShingle |
Accounting for attitudes on parking choice: An integrated choice and latent variable approach Attitudes Hybrid discrete choice models Latent variables Parking choice Values of time Behavioral research Equivalence classes Attitudes Choice process Discrete choice models Goodness of fit Latent variable Policy makers Socioeconomic characteristics Values of time Parking Discrete choice analysis Heterogeneity Integrated approach Numerical model Parking Public attitude |
| title_short |
Accounting for attitudes on parking choice: An integrated choice and latent variable approach |
| title_full |
Accounting for attitudes on parking choice: An integrated choice and latent variable approach |
| title_fullStr |
Accounting for attitudes on parking choice: An integrated choice and latent variable approach |
| title_full_unstemmed |
Accounting for attitudes on parking choice: An integrated choice and latent variable approach |
| title_sort |
Accounting for attitudes on parking choice: An integrated choice and latent variable approach |
| dc.subject.keywords.none.fl_str_mv |
Attitudes Hybrid discrete choice models Latent variables Parking choice Values of time Behavioral research Equivalence classes Attitudes Choice process Discrete choice models Goodness of fit Latent variable Policy makers Socioeconomic characteristics Values of time Parking Discrete choice analysis Heterogeneity Integrated approach Numerical model Parking Public attitude |
| topic |
Attitudes Hybrid discrete choice models Latent variables Parking choice Values of time Behavioral research Equivalence classes Attitudes Choice process Discrete choice models Goodness of fit Latent variable Policy makers Socioeconomic characteristics Values of time Parking Discrete choice analysis Heterogeneity Integrated approach Numerical model Parking Public attitude |
| description |
The well-differentiated impact that parking supply options produce on congestion, pollution and land consumption arouses the interest of policy makers for a better understanding of car user's behavior when choosing a parking option. Despite the evidence on the advantages of hybrid discrete choice models, most literature on parking choice only involves observable factors while leaving aside issues related to the latent variables. The behavioral hypothesis is that parking choice process depends not only on a set of observable factors but also has to do with individual-specific latent attributes. A hybrid discrete choice model with interactions among attitudes and observable factors, as well as among socioeconomic characteristics and observable factors, was estimated in order to consider individual heterogeneity. The results showed that, in addition to parking fee, search time and access time, a Risk-averse attitude and a Positive car care (maintenance) attitude are determinants for parking choice. The inclusion of these latent attributes and their interactions also resulted in a large improvement in the goodness-of-fit of the model and affected the time valuations. © 2018 Elsevier Ltd |
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2018 |
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2018 |
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2020-03-26T16:32:33Z |
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2020-03-26T16:32:33Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Artículo |
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Transportation Research Part A: Policy and Practice; Vol. 111, pp. 65-77 |
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09658564 |
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https://hdl.handle.net/20.500.12585/8881 |
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10.1016/j.tra.2018.03.003 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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56401553600 36806491400 55674080500 |
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Transportation Research Part A: Policy and Practice; Vol. 111, pp. 65-77 09658564 10.1016/j.tra.2018.03.003 Universidad Tecnológica de Bolívar Repositorio UTB 56401553600 36806491400 55674080500 |
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https://hdl.handle.net/20.500.12585/8881 |
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eng |
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eng |
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Elsevier Ltd |
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Elsevier Ltd |
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2020-03-26T16:32:33Z2020-03-26T16:32:33Z2018Transportation Research Part A: Policy and Practice; Vol. 111, pp. 65-7709658564https://hdl.handle.net/20.500.12585/888110.1016/j.tra.2018.03.003Universidad Tecnológica de BolívarRepositorio UTB564015536003680649140055674080500The well-differentiated impact that parking supply options produce on congestion, pollution and land consumption arouses the interest of policy makers for a better understanding of car user's behavior when choosing a parking option. Despite the evidence on the advantages of hybrid discrete choice models, most literature on parking choice only involves observable factors while leaving aside issues related to the latent variables. The behavioral hypothesis is that parking choice process depends not only on a set of observable factors but also has to do with individual-specific latent attributes. A hybrid discrete choice model with interactions among attitudes and observable factors, as well as among socioeconomic characteristics and observable factors, was estimated in order to consider individual heterogeneity. The results showed that, in addition to parking fee, search time and access time, a Risk-averse attitude and a Positive car care (maintenance) attitude are determinants for parking choice. The inclusion of these latent attributes and their interactions also resulted in a large improvement in the goodness-of-fit of the model and affected the time valuations. © 2018 Elsevier LtdRecurso electrónicoapplication/pdfengElsevier Ltdhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85043506324&doi=10.1016%2fj.tra.2018.03.003&partnerID=40&md5=ae6572c4eba34a74678930fed138d877Accounting for attitudes on parking choice: An integrated choice and latent variable approachinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1AttitudesHybrid discrete choice modelsLatent variablesParking choiceValues of timeBehavioral researchEquivalence classesAttitudesChoice processDiscrete choice modelsGoodness of fitLatent variablePolicy makersSocioeconomic characteristicsValues of timeParkingDiscrete choice analysisHeterogeneityIntegrated approachNumerical modelParkingPublic attitudeSoto J.J.Márquez L.Macea L.F.Abrantes, P.A.L., Wardman, M.R., Meta-analysis of UK values of travel time: an update (2011) Transport. 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