Authors:
Christina Pakusch
1
;
Gunnar Stevens
2
;
Paul Bossauer
1
and
Tobias Weber
1
Affiliations:
1
Department of Management Sciences, Bonn-Rhein-Sieg University, Sankt Augustin and Germany
;
2
Department of Management Sciences, Bonn-Rhein-Sieg University, Sankt Augustin, Germany, Department of Information Systems, University of Siegen, Siegen and Germany
Keyword(s):
Self-driving Cars, Travel Mode Choice, User Acceptance, Relative Added Value, Partworth Utilities.
Related
Ontology
Subjects/Areas/Topics:
Business Models
;
Collaboration and e-Services
;
Data Communication Networking
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Quality-Of-Service
;
Telecommunications
;
Ubiquity
Abstract:
Digitisation has brought a major upheaval to the mobility sector, and in the future, self-driving cars will probably be one of the transport modes. This study extends transport and user acceptance research by analysing in greater depth how the new modes of autonomous private cars, autonomous carsharing and autonomous taxis fit into the existing traffic mix from today's perspective. It focuses on accounting for relative added value. For this purpose, user preference theory was used as a base for an online survey (n=172) on the relative added value of the new autonomous traffic modes. Results show that users see advantages in the autonomous modes for driving comfort and time utilization whereas, in comparison to conventional cars, in many other areas – especially in terms of driving pleasure and control – they see no advantages or even relative disadvantages. Compared to public transport, the autonomous modes offer added values in almost all characteristics. This analysis at the partwo
rth level provides a more detailed explanation for user acceptance of automated driving.
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