Abstract
Bike sharing systems (BSSs) can contribute to sustainable mobility. For the design of BSSs, detailed knowledge is still needed about decision-making processes regarding the use of BSSs. This research uses a mixed-methods approach. Using a data set of 202 respondents, a structural equation model (SEM) was calculated with the predictors Performance Expectancy, Effort Expectancy, Facilitating Conditions, Social Influence and Habit. The SEM explained 52% of the variance in Behavioral Intention (BI). Performance Expectancy and Habit emerged as significant predictors. Obtained findings were supplemented by guided interviews to gain further insight. Based on a population that habitually uses its own bicycles, it is suggested to promote BSSs as part of multimodal transportation systems. Flexible pricing models and high-quality bikes are also central aspects to the intention to use BSSs.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
