Travel-Time Valuation for Automated Driving: A Use-Case-Driven Study

Abstract

An application-oriented evaluation of the implications of fully automated driving is of growing importance, particularly with regard to future user acceptance and usage. One of the most remarkable benefits of fully automated driving discussed is the potential of alternative travel-time use. Radical changes in time valuation and a rise in productivity are being discussed, which are highly relevant when evaluating transport-related measures, infrastructure investments and mode choice behavior. However, the lack of empirical examination and the inclusion of important aspects about the usage context, constraints and perceived benefits make predictions difficult.
\nThis paper aims to bridge the gap by examining user acceptance and perceived 42 advantages of automated vehicles on the basis of four specific use cases within the course of a quantitative online survey in Germany. The study includes detailed information on respondents’ current use of, and attitudes towards, today’s available transport modes, as well as their perception of the advantages of automated vehicles. Special focus is placed on current and future travel-time use.
\nSignificant differences found in the adaption of specific use cases emphasize the importance of a differentiation of fully automated driving. Perceived benefits with respect to time use were mainly window gazing and relaxing, whereas the possibility of working seemed to be less valued. A probit model analysis examined influencing factors on the propensity of regarding working while traveling as an advantage - a strong significance of the current time use on public transport and long-distance train trips, gender and rational attitude towards public transport was revealed.