Willingness to pay for electric vehicles and their attributes

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Hidrue, Michael K., et al. “Willingness to Pay for Electric Vehicles and Their Attributes”. Resource and Energy Economics, vol. 33, no. 3, 2011, pp. 686-05, https://doi.org/10.1016/j.reseneeco.2011.02.002.
Hidrue, M. K., Parsons, G. R., Kempton, W., & Gardner, M. P. (2011). Willingness to pay for electric vehicles and their attributes. Resource and Energy Economics, 33(3), 686-705. https://doi.org/10.1016/j.reseneeco.2011.02.002
Hidrue, Michael K., George R. Parsons, Willett Kempton, and Meryl P. Gardner. “Willingness to Pay for Electric Vehicles and Their Attributes”. Resource and Energy Economics 33, no. 3 (2011): 686-705. https://doi.org/10.1016/j.reseneeco.2011.02.002.
Hidrue MK, Parsons GR, Kempton W, Gardner MP. Willingness to pay for electric vehicles and their attributes. Resource and Energy Economics. 2011;33(3):686-705.
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A latent class model for discrete choice analysis: contrasts with mixed logit model 2003
Understanding heterogeneous preferences in random utility models: a latent class approach 2002
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To charge or not to charge? Using Prospect Theory to model the tradeoffs of electric vehicle users

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Investigating the factors influencing the electric vehicle market share: A comparative study of the European Union and United States Applied Energy
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The category Geography. Anthropology. Recreation: Environmental sciences 277 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Consumer Preferences for Alternative Fuel Vehicles: A Discrete Choice Analysis and was published in 2012. The most recent citation comes from a 2024 study titled Do numerical probabilities promote informed stated preference responses under inherent outcome uncertainty? Insight from a coastal adaptation choice experiment. This article reached its peak citation in 2022, with 81 citations. It has been cited in 196 different journals, 15% of which are open access. Among related journals, the Transportation Research Part D: Transport and Environment cited this research the most, with 58 citations. The chart below illustrates the annual citation trends for this article.
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