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. Part A: Policy Practice, 45 (1), pp. 1-17(2007), p. 92. , https://juanfe.org/wp-content/uploads/2013/03/Epidemiologia-Cartagena-2007.pdf, Administrative Department of Public Health, Behavior of events under epidemiological surveillance (in Spanish)Anderson, C.M., Das, C., Tyrrell, T.J., Parking preferences among tourists in Newport, Rhode Island (2006) Transport. Res. Part A: Policy Practice, 40 (4), pp. 334-353Arnott, R., Spatial competition between parking garages and downtown parking policy (2006) Transp. Policy, 13 (6), pp. 458-469Bahamonde-Birke, F., Ortúzar, J.D., Is sequential estimation a suitable second best for estimation of hybrid choice models? (2014) Transport. Res. Rec.: J. Transport. Res. Board, 2429, pp. 51-58Bahamonde-Birke, F.J., Kunert, U., Link, H., Ortúzar, J.D., About attitudes and perceptions: finding the proper way to consider latent variables in discrete choice models (2015) Transportation, 2015, pp. 1-19Bolduc, D., Boucher, N., Alvarez-Daziano, R., Hybrid choice modelling of new technologies for car choice in Canada (2008) Transp. Res. Rec., 2082, pp. 63-71Bollen, K.A., Latent variables in psychology and the social sciences (2002) Annu. Rev. Psychol., 53, pp. 605-634Caicedo, F., Lopez-Ospina, H., Pablo-Malagrida, R., Environmental repercussions of parking demand management strategies using a constrained logit model (2016) Transp. Res.Part D: Transport Environ., 48, pp. 125-140Caussade, S., Ortúzar, J.D., Rizzi, L.I., Hensher, D.A., Assessing the influence of design dimensions on stated choice experiment estimates (2005) Transport. Res. Part B: Methodol., 39 (7), pp. 621-640Chaniotakis, E., Pel, A.J., Drivers’ parking location choice under uncertain parking availability and search times: a stated preference experiment (2015) Transport. Res. Part A: Policy Practice, 82, pp. 228-239Chorus, C.G., Kroesen, M., On the (im-)possibility of deriving transport policy implications from hybrid choice models (2014) Transp. Policy, 36, pp. 217-222Christiansen, P., Engebretsen, Ø., Fearnley, N., Hanssen, J.U., Parking facilities and the built environment: Impacts on travel behaviour (2017) Transport. Res. Part A: Policy Practice, 95, pp. 198-206Doornik, J.A., Object-Oriented Matrix Programming Using Ox (2015), Oxford 3rd ed Timberlake Consultants Press LondonFu, X., Juan, Z., Estimation of multinomial probit-kernel integrated choice and latent variable model: comparison on one sequential and two simultaneous approaches (2015) Transportation, pp. 1-26Gallagher, J., Gill, L.W., Mc Nabola, A., Optimizing the use of on-street car parking system as a passive control of air pollution exposure in street canyons by large eddy simulation (2011) Atmos. Environ., 45 (9), pp. 1684-1694Golias, J., Yannis, G., Harvatis, M., Off-street parking choice sensitivity (2002) Transport. Plan. Technol., 25 (4), pp. 333-348Gutiérrez, M., Cantillo, V., Classic and bayesian estimation of Subjective Value of Time (2014) Dyna, 81 (187), pp. 158-166Habib, K.M.N., Morency, C., Trépanier, M., Integrating parking behaviour in activity-based travel demand modelling: Investigation of the relationship between parking type choice and activity scheduling process (2012) Transport. Res. Part A: Policy Practice, 46 (1), pp. 154-166Hensher, D.A., King, J., Parking demand and responsiveness to supply, pricing and location in the Sydney central business district (2001) Transp. Res. Part A, 35 (3), pp. 177-196Hensher, D.A., Greene, W.H., Li, Z., Embedding risk attitude and decision weights in non-linear logit to accommodate time variability in the value of expected travel time savings (2011) Transport. Res. Part B: Methodol., 45 (7), pp. 954-972Hess, S., Train, K., Polak, J., On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice (2006) Transport. Res. Part B: Methodol., 40, pp. 147-163Ibeas, A., dell'Olio, L., Bordagaray, M., Ortúzar, J.D., Modelling parking choices considering user heterogeneity (2014) Transp. Res. Part A, 70, pp. 41-49Transport, I.T., (2002), https://assets.publishing.service.gov.uk/media/57a08d4340f0b64974001762/R7785.pdf, The Value of Time in Least Developed Countries. Knowledge and Research (KaR) 2000/01 DFID Research No. R7785. Department for International DevelopmentJohns, R., (2010), http://surveynet.ac.uk/sqb/datacollection/likertfactsheet.pdf, Likert Items and Scales. Survey Question Bank: Methods Fact Sheet. Retrieved from:Kelly, J.A., Clinch, J.P., Temporal variance of revealed preference on-street parking price elasticity (2009) Transp. Policy, 16 (4), pp. 193-199Kobus, M.B., Gutiérrez-i-Puigarnau, E., Rietveld, P., Van Ommeren, J.N., The on-street parking premium and car drivers' choice between street and garage parking (2013) Regional Sci. Urban Econ., 43 (2), pp. 395-403Li, Z., Hensher, D., Accommodating risk attitudes in freight transport behaviour research (2012) Transport Rev., 32 (2), pp. 221-239Litman, T., Environmental reviews & case studies: why and how to reduce the amount of land paved for roads and parking facilities (2011) Environ. Pract., 13 (1), pp. 38-46Litman, T., Evaluating Transportation Land Use Impacts: Considering the Impacts, Benefits and Costs of Different Land Use Development Patterns (2016), Victoria Transport Policy InstituteManville, M., Shoup, D., Parking, people, and cities (2005) J. Urban Plann. Dev., 131 (4), pp. 233-245Márquez, L., Gallo, L., Chacón, C., Influence of parking costs on the use of cars in Bogota (2011) Ing. Univ. Bogotá (Colombia), 15 (1), pp. 105-124. , http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0123-21262011000100007Merriman, P., Mobility infrastructures: modern visions, affective environments and the problem of car parking (2016) Mobilities, 11 (1), pp. 83-98National Planning Department, Formulación del Plan de Movilidad del Distrito Turístico y Cultural de Cartagena, SIGMA Gestión de Proyectos Ltda (2011), p. 103. , IV Componente TécnicoNordfjærn, T., Rundmo, T., Differences in risk perception, priorities, worry and demand for risk mitigation in transport among Norwegians in 2004 and 2008 (2010) Saf. Sci., 48 (3), pp. 357-364de Palma, A., Picard, N., Route choice decision under travel time uncertainty (2005) Transport. Res. Part A: Policy Practice, 39 (4), pp. 295-324Pérez, G.J., Salazar, I., Poverty in Cartagena: an analysis by neighborhoods (in Spanish) (2007) Reportes del Emisor: Investigación e información económica, 103, pp. 1-4. , http://www.banrep.gov.co/sites/default/files/publicaciones/archivos/103.pdfRaveau, S., Álvarez-Daziano, R., Yáñez, M., Bolduc, D., Ortúzar, J.D., Sequential and simultaneous estimation of hybrid discrete choice models some new findings (2010) Transp. Res. Rec., 2156, pp. 131-139Shoup, D.C., Cruising for parking (2006) Transp. Policy, 13 (6), pp. 479-486Small, K.A., Valuation of travel time (2012) Econ. Transport., 1 (1-2), pp. 2-14Tsirimpa, A., Polydoropoulou, A., Antoniou, C., Development of a latent variable model to capture the impact of risk aversion on travelers’ switching behavior (2010) J. Choice Modell., 3 (1), pp. 127-148Tversky, A., Kahneman, D., Advances in prospect theory: cumulative representations of uncertainty (1992) J. Risk Uncertainty, 5 (4), pp. 297-323. , http://www.jstor.org/stable/41755005Van der Waerden, P., Borgers, A., Timmermans, H., Attitudes and behavioral responses to parking measures (2006) Eur. J. Transport Infrastruct. Res., 6 (4), pp. 301-3012. , https://www.tudelft.nl/en/tpm/about-the-faculty/departments/engineering-systems-and-services/research/ejtir/back-issues/volume6-2006/Vij, A., Walker, J., Hybrid choice models: the identification problem (2014) Handbook of Choice Modelling, , S. Hess A. Daly Edward Elgar Publishing CheltenhamVillar, L., Romero, J.V., (2014), http://www.repository.fedesarrollo.org.co/handle/11445/1693, Tendencia Económica. Informe Mensual de Fedesarrollo. No. 148, Octubre, 2014Vredin Johansson, M., Heldt, T., Johansson, P., The effects of attitudes and personality traits on mode choice (2006) Transport. Res. Part A: Policy Practice, 40 (6), pp. 507-525Wight, V.R., (2008), https://search.proquest.com/docview/304568782?accountid=41515, The intergenerational transmission of gender -role attitudes and behavior: How do parents matter? (Order No. 3324885). Available from ProQuest Dissertations & Theses A&I. (304568782). Retrieved fromYáñez, M.F., Raveau, S., Ortúzar, J.D.D., Inclusion of latent variables in mixed logit models: modelling and forecasting (2010) Transport. Res. Part A: Policy Practice, 44 (9), pp. 744-753http://purl.org/coar/resource_type/c_6501THUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/8881/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/8881oai:repositorio.utb.edu.co:20.500.12585/88812021-02-02 13:43:22.761Repositorio Institucional UTBrepositorioutb@utb.edu.co |