Mobility Research

Hyperloop

Hyperloop technology presents opportunities for shortened travel time, a lower infrastructure footprint and an exceptionally low use of energy. Our partner for this research project, the Dutch company Hardt Hyperloop, has already developed a full-scale test facility in Delft and plans to build a European-wide Hyperloop network connecting major cities. The aim of this study was thus to generate a deeper understanding of user acceptance of hyperloop technology by identifying users’ willingness to use this mode of transportation and the factors that support user acceptance or rejection of the new technology. The study is based on a representative sample of the Dutch population (N=387). Read the full whitepaper here.

Air Taxis

In our Research Project AirTaxiS we evaluated the acceptance of autonomous flying AirTaxis for urban areas. Together with Volocopter, Daimler and the State of Baden-Württemberg this research project included the first public flight of an AirTaxi in Europe, which was attended by more than 20.000 spectators. Our research design included a questionnaire and a field experiment (N=1.203). Interestingly, the experience of seeing the flight has not changed the generally high evaluation of this new transport technology in a pre-post measure with a subset of the sample. Besides, we discovered an interaction between individual and societal factors of air taxi acceptance. This suggests that people who see a personal benefit in air taxis are affected mostly by hedonic factors while people with a low personal intention to use air taxis are more affected by the potential positive effects on a societal level. More details on our project website.  The main findings are available in this whitepaper.

E-bike Sharing

In our first study we employed the UTAUT model to understand the individual user acceptance decision of e-bike sharing programs in Germany. The analysis of the sample (N=372) showed that hedonic motivations prevail among the group of interested users, while the less-interested users are more affected by rational arguments, such as easy access and environmental protection. Our second study on e-bike sharing focused on the user experience of e-bike-sharing applications. A Kano analysis (N=100) revealed the excitement attributes, e.g. personalized routes which can be used to increase the value of e-bike sharing apps. Click to access the full results of study 1 and study 2.

Safety in Bicycle Traffic

How can cycling in metropolitan regions be made safer? To address this issue, we developed the ROUTEMESAFE application. With this crowdsourcing app, places perceived as unsafe by cyclists can be marked on an interactive map and made visible to all users, offering an overview of dangerous spots in the area. Local authorities are encouraged to use this information as a basis to make decisions on the cycle infrastructure. We conducted several studies during the process to ensure that the users’ needs are met. Click here to read our study on cycling safety and contact us for more details on our user experience and target group research.

Car Flatrates

Car Flatrate

Car Supscription models or Car Flatrates offer individual car ownership combined with a high level of flexibility. Apps, such as Cluno or Volvo Care offer a wide range of cars at a monthly fixed price, including everything except gasoline. Users moreover have the opportunity to change cars at least annually, often even more frequently. In this research project we conducted a survey with N=242 German car owners and prospective owners. The main results can be found in this whitepaper.

Autonomous Driving

In our 2018 study with Mercedes-Benz, we elicited salient beliefs of individuals towards shared autonomous vehicles. In sum, 41 new car buyers were interviewed upon the delivery of their new automobile at a German premium car manufacturer’s delivery center. The semi-structured interviews were designed to evaluate the attitude towards this new technology as well as to collect related salient associations. Based on a two-dimensional correspondence matrix, a pattern of prevalent associations linked to the attitude towards shared mobility services was derived. More information can be found in this research publication