Citation

Steck F, Kolarova V, Bahamonde-Birke F, Trommer S, Lenz B. Transp. Res. Rec. 2018; 2672(46): 11-20.

Affiliation

German Aerospace Center, Institute of Transport Research, Berlin, Germany 2Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany 3Technische Universität Berlin, Berlin, Germany Corresponding Author: Felix Steck: Felix.Steck@dlr.de

Copyright

(Copyright © 2018, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

10.1177/0361198118757980

PMID

unavailable

Abstract

Autonomous driving is being discussed as a promising solution for transportation-related issues and might bring some improvement for users of the system. For instance, especially high mileage commuters might compensate for some of their time spent traveling as they will be able to undertake other activities while going to work. At the same time, there are still many uncertainties and little empirical data on the impact of autonomous driving on mode choices. This study addresses the impact of autonomous driving on value of travel time savings (VTTS) and mode choices for commuting trips using stated-choice experiments. Two use cases were addressed - a privately owned, and a shared autonomous vehicle - compared with other modes of transportation. The collected data were analyzed by performing a mixed logit model. The results show that mode-related factors such as time elements, especially in-vehicle time and cost, play a crucial role for mode choices that include autonomous vehicles. The study provides empirical evidence that autonomous driving may lead to a reduction in VTTS for commuting trips. It was found that driving autonomously in a privately owned vehicle might reduce the VTTS by 31% compared with driving manually, and is perceived similarly to in-vehicle time in public transportation. Furthermore, riding in a shared autonomous vehicle is perceived 10% less negatively than driving manually. The study provides important insights into VTTS by autonomous driving for commuting trips and could be a base for future research to build upon.

Language: en