How technology commitment affects mode choice for a self-driving shuttle service
Document Type
Journal Article
Publication Date
2019
Subject Area
mode - bike, mode - bus, mode - pedestrian, place - europe, ridership - demand, ridership - attitudes, ridership - behaviour, ridership - mode choice, technology - intelligent transport systems, economics - willingness to pay, planning - surveys, planning - marketing/promotion
Keywords
Mode choice, autonomous vehicles (AVs), survey, technology, willingness to pay
Abstract
Although automation of motorized vehicles has the potential to transform public transport as we know it, prospective users are still skeptical. Trials with shared autonomous vehicles (AVs) offer an opportunity to assess future demand in a more realistic setting. In the context of an autonomous shuttle service trial operating on public road-space in Switzerland, we carried out a mode choice experiment with a random sample of 773 potential users. Study participants could choose between a rental bike, walking, and the autonomous bus at varying costs, travel time, occupation, and weather conditions. Based on attitudinal survey items on technology commitment, consisting of technology acceptance, control, and competence that were integrated into a latent variable model, we study how technology commitment affects mode choice behaviour. While results show a comparably low willingness to pay, they also indicate that technology acceptance is a robust predictor of autonomous bus usage. In line with the technology adoption life cycle argument, potential users are currently mainly technology enthusiasts. Thus, in order to also “bring on board” the less technophile parts of the population, improved communication of AV benefits will be required.
Rights
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Recommended Citation
Wicki, M., Guidon, S., Becker, F., Axhausen, K., & Bernauer, T. (2019). How technology commitment affects mode choice for a self-driving shuttle service. Research in Transportation Business and Management, Vol. 32, 100458.
Comments
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http://www.sciencedirect.com/science/journal/22105395