Range anxiety–consumers' concerns about limited driving range–is generally considered an
important barrier to the adoption of electric vehicles. If consumers cannot overcome these …

We use Bayes' estimator of a consumer-surplus probit model to study the relevance of the
prior in a discrete choice model. We take random subsamples of varying sizes of stated …

We perform a meta-analysis of studies investigating consumer preferences for electric and
other alternative fuel vehicles (AFVs) to provide insights into the way driving range is traded …

We perform a meta-analysis of studies investigating consumers' preferences for electric and
other alternative fuel vehicles to provide insights into the way consumers trade off driving …

Properly determining the driving range is critical for accurately predicting the sales and
social benefits of battery electric vehicles (BEVs). This study proposes a framework for …

This article presents a stated preference study of electric vehicle choice using data from a
national survey. We used a choice experiment wherein 3029 respondents were asked to …

Previous studies of the potential market for battery electric vehicles (BEVs) from different
research streams have failed to converge on a single, robust estimate. What these previous …

This study uses probabilistic choice models to predict potential demand for electric cars.
Survey data are employed to estimate separate utility functions for each of 51 subjects. This …

Since standard vehicles are powered by internal combustion mechanisms that rely on fossil
fuels, electric vehicles that are propelled by one or more electric engines have been …

This paper conducts a comparative discrete choice analysis to estimate consumers'
willingness to pay (WTP) for electric vehicles (EVs) and plug-in hybrid electric vehicles …