User Acceptance of Vehicle Safety Systems

Driver in driver's seat.

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Intelligent transport systems can effectively reduce emissions from vehicles, and the European Commission launched a directive in 2010 to speed up the deployment of these systems. User acceptance and demand are important factors for a successful deployment and can be measured in different ways.

The purpose of this study was to study users’ awareness, experience, attitude, demand and willingness to pay for advanced driver support systems. The data was collected through a questionnaire administered in five European countries and analysed depending on gender and age. Systems included in the study were: speed alert, emergency braking, eco-driving assistance, real-time traffic information, start-stop assistance and a tyre pressure monitoring system. Awareness of the selected systems varied a little, but in general around 60% of the respondents had read about, heard of or tried the systems. The actual usage was low, 5-19% depending on the system. Respondents who had tried the systems were asked how often they used it, revealing that most systems were not used regularly. The respondents also had to evaluate the perceived usefulness of the systems on different road types (urban environments, highways and rural roads) and the perceived importance of the systems’ benefits. All the systems were seen as useful on at least one road type. Depending on the system, different benefits were included, but at least one benefit for every system was viewed to be important. Around 50% of the respondents wanted to have the systems in their next car and around 60% would be willing to pay something for the systems, usually less than € 200.

Another purpose of this study was to determine the users’ acceptance, early adoption and unawareness of the systems. The analyses were done using logistic regression. Variables included in the acceptance, early adoption and unawareness analyses were determined based on the literature review of previous user acceptance studies. For the acceptance analysis statistically significant variables increasing the respondents’ acceptance were: buying their next car as new, frequent usage, high perceived usefulness, and benefits of the systems. For early adoption statistically significant variables were household income, vehicle mileage and the price of their next car. For unawareness statistically significant variables were gender, vehicle mileage and price of their next car.

The study was part of the iMobility Challenge program which was funded under the seventh research framework program (FP7) of the European Community.

Users’ awareness and demand for iMobility systems, Deliverable 2.3.1 of the iMobility Challenge project. Author: Fanny Malin.
Link to full report in English

Fanny Malin Contact:
Fanny Malin
VTT, Finland
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