Shared Autonomous Vehicles: Potentials for a Sustainable Mobility and Risks of Unintended Effects

  • Automated and connected cars could significantly reduce congestion and emissions through a more efficient flow of traffic and a reduction in the number of vehicles. An increase in demand for driving with autonomous vehicles is also conceivable due to higher comfort and improved quality of time using driverless cars. So far, empirical evidence supporting this hypothesis is missing. To analyze the influence of autonomous driving on mobility behavior and to uncover user preferences, which serve as an indicator for future travel mode choices, we conducted an online survey with a paired comparison of current and future travel modes with 302 German participants. The results do not confirm the hypothesis that ownership will become an outdated model in the future. Instead they suggest that private cars, whether traditional or fully automated, will remain the preferred travel mode. At the same time, carsharing will benefit from full automation more than private cars. However, findings indicate that the growth of carsharing will mainly be at the expense of public transport, showing that more effort should be placed in making public transportation more attractive if sustainable mobility is to be developed.

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Metadaten
Document Type:Conference Object
Language:English
Parent Title (English):Penzenstadler, Easterbrook et al. (Eds.): ICT4S2018. 5th International Conference on Information and Communication Technology for Sustainability. EPiC Series in Computing, Volume 52
First Page:258
Last Page:269
ISSN:2398-7340
DOI:https://doi.org/10.29007/rg73
Publisher:EasyChair
Date of first publication:2018/05/10
Tag:Shared Autonomous Vehicles; autonomous driving; car sharing; sustainable mobility; travel mode choice
Departments, institutes and facilities:Fachbereich Wirtschaftswissenschaften
Dewey Decimal Classification (DDC):300 Sozialwissenschaften / 380 Handel, Kommunikation, Verkehr / 380 Handel, Kommunikation, Verkehr
Entry in this database:2018/06/02