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The market introduction and penetration of electric vehicles can be seen as a milestone in order to reduce the environmental burden imposed by the transport sector. The wide-spread use of electric vehicles powered by electricity from renewable sources promises a substantial reduction of local emissions in urban areas as well as greenhouse gas emissions. To be a successful mobility alternative several obstacles and challenges have to be overcome first. Especially the customers' purchase decision determines finally whether an innovation like electromobility will be successful. Therefore, this paper concentrates on demand-related obstacles and barriers for a broad market deployment of electric cars. Within the Electromobility+ project eMAP these issues are investigated via a consumer survey. It was designed to identify the awareness of potential consumers of electric cars as well as give an estimate of the attitude towards this new technology. In addition to the picture of potential demand-related obstacles the consumers were asked to evaluate the suitability of various promotion measures.
The strong prevalence of human error as a crash causation factor in motorcycle accidents calls for countermeasures that help tackling this issue. Advanced rider assistance systems pursue this goal, providing the riders with support and thus contributing to the prevention of crashes. However, the systems can only enhance riding safety if the riders use them. For this reason, acceptance is a decisive aspect to be considered in the development process of such systems. In order to be able to improve behavioural acceptance, the factors that influence the intention to use the system need to be identified. This paper examines the particularities of motorcycle riding and the characteristics of this user group that should be considered when predicting the acceptance of advanced rider assistance systems. Founded on theories predicting behavioural intention, the acceptance of technologies and the acceptance of driver support systems, a model on the acceptance of advanced rider assistance systems is proposed, including the perceived safety when riding without support, the interface design and the social norm as determinants of the usage intention. Since actual usage cannot be measured in the development stage of the systems, the willingness to have the system installed on the own motorcycle and the willingness to pay for the system are analyzed, constituting relevant conditions that allow for actual usage at a later stage. Its validation with the results from user tests on four advanced rider assistance systems allows confirming the social norm and the interface design as powerful predictors of the acceptance of ARAS, while the extent of perceived safety when riding without support did not have any predictive value in the present study.