The use of electric vehicles (EVs) has large environmental benefits regarding energy efficiency and reduced air pollution in urban areas. However, to avoid the potential rebound effects of increased car travels, due to the low marginal costs and increasing battery ranges of EVs, knowledge is needed on how policy incentives will steer EV users towards more sustainable travel behaviors. To explore the relation between policy incentives and individuals’ behavioral adoption process, this paper describes the design of relevant stated adaptation experiments and the design of a stated adaptation web survey tool that allows to collect information about 1) what specific travel changes EV users will make to their travels in order to meet the constraints of scenarios and 2) what extent these travel changes are influenced by the incentives that are provided in the scenarios. The paper motivates and details the data model and mechanisms used by the proposed tool.