Hybrid choice model for alternative fuelled vehicles [Modelación híbrida para la elección de vehículos con energías alternativas]
The promotion of alternative fuelled vehicles for the reduction of atmospheric emissions is a highly discussed topic nowadays. It requires evaluating the potential demand and people's preferences for vehicles using these new technologies, in order to define strategies to encourage their use. Hy...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
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- eng
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- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Hybrid choice model for alternative fuelled vehicles [Modelación híbrida para la elección de vehículos con energías alternativas] |
title |
Hybrid choice model for alternative fuelled vehicles [Modelación híbrida para la elección de vehículos con energías alternativas] |
spellingShingle |
Hybrid choice model for alternative fuelled vehicles [Modelación híbrida para la elección de vehículos con energías alternativas] |
title_short |
Hybrid choice model for alternative fuelled vehicles [Modelación híbrida para la elección de vehículos con energías alternativas] |
title_full |
Hybrid choice model for alternative fuelled vehicles [Modelación híbrida para la elección de vehículos con energías alternativas] |
title_fullStr |
Hybrid choice model for alternative fuelled vehicles [Modelación híbrida para la elección de vehículos con energías alternativas] |
title_full_unstemmed |
Hybrid choice model for alternative fuelled vehicles [Modelación híbrida para la elección de vehículos con energías alternativas] |
title_sort |
Hybrid choice model for alternative fuelled vehicles [Modelación híbrida para la elección de vehículos con energías alternativas] |
description |
The promotion of alternative fuelled vehicles for the reduction of atmospheric emissions is a highly discussed topic nowadays. It requires evaluating the potential demand and people's preferences for vehicles using these new technologies, in order to define strategies to encourage their use. Hybrid choice models were used to explicitly incorporate non-observed and latent factors that could affect the next vehicle purchase. Models were estimated using stated preference data collected in two Colombian cities. The latent factors were obtained through the rating of several statements from survey respondents regarding the perception of the transportation systems, the environmental concern and the importance of some vehicle features. Results suggest that the use of hybrid choice models helps to obtain an adequate representation of the consumer behavior when facing the next vehicle purchase. Environmental concern and the support for green transport policies are significant factors in the choice of alternative fuelled vehicles. Capital costs and operational costs differences among conventional fuelled vehicles and alternative fuelled vehicles are also relevant factors in the decision making process. |
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2014 |
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2014 |
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2020-03-26T16:32:52Z |
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2020-03-26T16:32:52Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Artículo |
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Interciencia; Vol. 39, Núm. 9; pp. 666-672 |
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0378-1844 |
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https://hdl.handle.net/20.500.12585/9065 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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56401553600 8273409900 55569221400 |
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Interciencia; Vol. 39, Núm. 9; pp. 666-672 0378-1844 Universidad Tecnológica de Bolívar Repositorio UTB 56401553600 8273409900 55569221400 |
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https://hdl.handle.net/20.500.12585/9065 |
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eng |
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Interciencia Association |
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Interciencia Association |
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2020-03-26T16:32:52Z2020-03-26T16:32:52Z2014Interciencia; Vol. 39, Núm. 9; pp. 666-6720378-1844https://hdl.handle.net/20.500.12585/9065Universidad Tecnológica de BolívarRepositorio UTB56401553600827340990055569221400The promotion of alternative fuelled vehicles for the reduction of atmospheric emissions is a highly discussed topic nowadays. It requires evaluating the potential demand and people's preferences for vehicles using these new technologies, in order to define strategies to encourage their use. Hybrid choice models were used to explicitly incorporate non-observed and latent factors that could affect the next vehicle purchase. Models were estimated using stated preference data collected in two Colombian cities. The latent factors were obtained through the rating of several statements from survey respondents regarding the perception of the transportation systems, the environmental concern and the importance of some vehicle features. Results suggest that the use of hybrid choice models helps to obtain an adequate representation of the consumer behavior when facing the next vehicle purchase. Environmental concern and the support for green transport policies are significant factors in the choice of alternative fuelled vehicles. Capital costs and operational costs differences among conventional fuelled vehicles and alternative fuelled vehicles are also relevant factors in the decision making process.Recurso electrónicoapplication/pdfengInterciencia Associationhttp://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-s2.0-84908489537&partnerID=40&md5=7e97fd3f5c81377e9f8b892657f42df9Hybrid choice model for alternative fuelled vehicles [Modelación híbrida para la elección de vehículos con energías alternativas]info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Soto J.J.Cantillo V.Arellana J.Bliemer, M.C.J., Rose, J.M., (2009) Eff Iciency and Sample Size Requirements for Stated Choice Experiments, 27p. , Paper #09-2421. Transportation Research Board 88th Annual Meeting, Washington DC, EEUUBolduc, D., Boucher, N., Alvarez-Daziano, R., Hybrid choice modeling of new technologies for car choice in canada (2008) Transp. Res. Rec, 2082, pp. 63-71Bolívar, R., Mostany, J., García, M.C., Petróleo versus energías alternativas. Dilema futuro (2006) Interciencia, 31, pp. 10-12Brownstone, D., Bunch, D.S., Train, K., Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles (2000) Transp. Res. B, 34, pp. 315-338Calfee, J., Estimating the demand for electric automobiles using fully disaggregated probabilistic choice analysis (1985) Transp. Res. B, 19, pp. 287-301Chapman, L., Transport and climate change: A review (2007) J. Transp. Geogr, 15, pp. 354-367Collantes, G., Do green tech policies need to pass the consumer test? the case of ethanol fuel (2010) Energy Econ, 32, pp. 1235-1244Daly, A., Hess, S., Patruni, B., Potoglou, D., Rohr, C., Using ordered attitudinal indicators in a latent variable choice model: A study of the impact of security on travel behaviour (2012) Transportation, 39, pp. 267-297Doornik, J.A., (2007) Object-Oriented Matrix Programming Using Ox, , 3a ed. Timberlake Consultants Press. Londres, RUHess, 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) Transp. Res. B, 40, pp. 147-163Hidrue, M.K., Parsons, G.R., Kempton, W., Gardner, M.P., Willingness to pay for electric vehicles and their attributes (2011) Resource Energy Econ, 33, pp. 686-705Leo Vargas, A., Adame Martínez, S., Jiménez Jiménez, J., Movilidad, sustentabilidad y combustibles de los sistemas de transporte rápido de autobús articulado en México (2012) Interciencia, 37, pp. 154-160Janssen, A., Lienin, S.F., Gassmann, F., Wokaun, A., Model aided policy development for the market penetration of natural gas vehicles in switzerland (2006) Transp. Res. A, 40, pp. 316-333McFadden, D., Economic choices (2001) Am. Econ. Rev, 91, pp. 351-378Raveau, S., Alvarez-Daziano, R., Yáñez, M.F., Bolduc, D., Ortúzar, J.D., Sequential and simultaneous estimation of hybrid discrete choice models: Some new findings (2010) Transp. Res. Rec, 2156, pp. 131-139Sándor, Z., Wedel, M., Designing conjoint experiments using manager's prior beliefs (2001) J. Market. Res, 38, pp. 430-444Train, K., The potential demand for electric vehicles (1980) Transp. Res. A, 14, pp. 405-414Train, K., (1986) Qualitative Choice Analysis: Econometrics and Application to Automobile Demand, 252p. , MIT Press. Cambridge, MA, EEUUTrain, K., (2009) Discrete Choice Methods with Simulation, 408p. , 2a ed. Cambridge University Press. Nueva York, EEUUWalker, J., (2001) Extended Discrete Choice Models: Integrated Framework, Flexible Error Structures, and Latent Variables, 208p. , Tesis. Massachusetts Institute of Technology. Cambridge, MA, EEUUhttp://purl.org/coar/resource_type/c_6501THUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9065/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9065oai:repositorio.utb.edu.co:20.500.12585/90652021-02-02 14:54:01.531Repositorio Institucional UTBrepositorioutb@utb.edu.co |