For parking operators and charging service providers it is critical to
understand the factors that influence the demand for charging electric vehicles away from home. This information will not only help them to better anticipate the impact on the power grid, but also to develop
revenue maximizing demand response strategies.

Recent studies suggest that observable and unobservable
attributes of travel demand affect the location and the frequency of charging events. Nevertheless, it is unlikely that there is a simple
one way causality in the relationship, since the distinctive characteristics of electric vehicles might also lead to transformations in travel beha
viour. In order to examine these ambiguous interrelationships we develop two models: a binary logistic regression for home charging vs
out-of-home charging and an ordered logit regression for the daily distance driven with an electric vehicle.

Attitudes and perceptions of individuals towards rang
e constraints are indirectly captured with latent constructs like sche
dule flexibility or mobility necessity. The data used for the analysis were
collected through the administration of an online survey to electric vehicle drivers in the UK and Ireland. Results show that there is an intrinsic link between charging and travel behaviour with potential implications both in a strategic and an operational level.