Demand for plug-in electric vehicles across segments in the future vehicle market

The electrification of transport systems requires a change in the composition vehicle fleet towards higher shares electric vehicles. A successful transition, however, depends on many factors which some relate to purchase prices and features, while others technology charging infrastructure. This paper analyses transition plug-in We use data from large representative Danish stated choice survey. Based these data, we estimate mixed logit model that allows for correlated random effects across fuel types car segments as well systematic heterogeneity. results show correlation substitution indeed goes dimensions. Willingness-to-pay (WTP) measures are estimated variety attributes. These suggest WTP range varies with types, possibility home is highly valued, CO2 significant concern among individuals sample.