Use of travel time in a shared automated vehicle for work and leisure: Results from a field experiment with a Wizard-of-Oz simulator-on-wheels vehicle

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Authors: Maryna Öztürker, Sina Nordhoff, Sascha Hoogendoorn-Lanser, Bart van Arem, Gonçalo Homem de Almeida Correia
Cited by: 0
References: 72

Abstract

Shared automated vehicles (SAVs) have the potential to transform travel by enabling users to engage in a wide range of non-driving-related tasks (NDRTs), enhancing productivity and travel satisfaction. To explore this potential, we conducted a field experiment using a Wizard-of-Oz simulator-on-wheels vehicle replicating SAV services in urban areas. The study examined how engaging in work and leisure NDRTs influenced attitudes and preferences for SAVs versus conventional transport modes (public transport (PT), conventional cars, and bicycles) and associated values of travel time (VoTTs). A total of 104 participants completed two test rides while engaging in work and leisure activities, with engagement levels captured via video. Field study results showed that participants preferring work over leisure inside SAVs had a more positive perception of travel time in them post-test. Whilst, high levels of NDRT engagement during test rides increased the dissatisfaction with travel time in traditional PT, highlighting SAVs’ potential to shift preferences. Experience with NDRTs also reduced the negative perception of car travel costs, aligning this perception with that of SAVs post-test. This adjustment caused a shift in VoTTs: while SAVs initially held the highest values, test rides elevated VoTTs for conventional cars – previously lower and on par with PT – to match those of SAVs for leisure-oriented participants. However, for work-oriented participants, SAVs had significantly lower VoTTs than cars, underscoring their advantage for productivity-focused travel. Finally, the experiment demonstrated the relevance of the Wizard-of-Oz approach for simulating realistic SAV experiences, with 74% of participants believing the setup was genuine.

Fields of Study & Subjects

Transportation and Mobility Innovations Human-Automation Interaction and Safety Transportation Planning and Optimization

Publication details

Journal / source
Transportation Research Part C Emerging Technologies
Volume
188
Pages
105646–105646
Publication date
21 April 2026
Language
EN