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Heterogeneous preferences of green vehicles by vehicle size: Analysis of Seoul case
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Publication Year
2018-10-21
Publisher
Taylor and Francis Ltd.
Citation
International Journal of Sustainable Transportation, Vol.12, pp.675-685
Keyword
Green vehiclemixed logitnested logitstated preferencevehicle size
Mesh Keyword
Conventional gasolineMixed logitNested logitPlug in hybrid electric vehiclesSocio-demographic variablesStated preferencesUnobserved heterogeneityVehicle size
All Science Classification Codes (ASJC)
Environmental EngineeringCivil and Structural EngineeringGeography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentAutomotive EngineeringTransportation
Abstract
Although there are several policies for promoting green vehicles, green vehicles have yet to penetrate the market to the extent desired. To attain the goal, a complete understanding of consumers’ preferences of green vehicles is essential. This paper proposes and specifies the fuel-type choice models among conventional gasoline vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles, and electric vehicles by vehicle size using the stated preferences data collected in Seoul, Korea. The results highlight the need to accommodate the correlation between similar alternatives and the unobserved heterogeneity within the context of choosing a green vehicle. The choice probabilities of green vehicles are affected by the relative impacts of the vehicles’ attributes and socio-demographic variables, and both of these variables are affected by the sizes of the vehicles. For compact size and mid-size vehicles, the effects of operating costs were less than those of purchase prices; however, for the subcompact vehicles, the effects of operating cost were greater than those of purchase price. The parameter of operating costs was not statistically significant in the full-size model. With respect to electric vehicles, the availability of fuel stations would be more important in Seoul than in the U.S. These results can also be useful for policy makers in that they provide information about the impact of green vehicles’ attributes on the choice probabilities of green vehicles.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/30086
DOI
https://doi.org/10.1080/15568318.2018.1425782
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Type
Article
Funding
This work was funded by the Korea Environment Institute project (GP2015-01-02-02).
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CHOI, Keechoo Image
CHOI, Keechoo최기주
Department of Transportation System Engineering
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