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dc.contributor.authorSun, Shanshan
dc.contributor.authorWong, Yiik Diew
dc.contributor.authorRau, Andreas
dc.date.accessioned2021-12-08T00:14:12Z
dc.date.available2021-12-08T00:14:12Z
dc.date.issued2020en_AU
dc.identifier.urihttps://hdl.handle.net/2123/27149
dc.description.abstractAutonomous vehicle (AV) has been discussed as a promising solution to substantially improve transit system performance. However, the feasibility of AVs at a system level remains unclear. This paper offers an early glimpse of the efficiency performance of an AV-based transit system in Singapore, namely Dynamic Autonomous Road Transit (DART). Compared to the existing bus system, the improved operational strategy of DART service can garner higher efficiency with respective reductions of 44%, 66% and 47% in total cost of ownership (TCO), TCO/km/h and TCO/passenger. A stated-preference survey was conducted, and the data analysed via a mixed logit model. Travel time and travel cost remain critical for determining an individual’s travelling preferences. In addition, the current paper presents empirical evidence that travellers are more sensitive to travel time reduction, compared to travel cost reduction. It is also found that a traveller’s preferences towards walking, waiting and in-vehicle activities play an influential role of behavioural adjustment. Value of time (VOT) was calibrated with a value of S$ 31 and a reduction of 49% was observed for individuals who performed work-related activities while travelling.en_AU
dc.publisherInstitute of Transport and Logistics Studies (ITLS)en_AU
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0en_AU
dc.subjectAutonomous Vehiclesen_AU
dc.subjectEfficiency Analysisen_AU
dc.subjectMode Choiceen_AU
dc.subjectMixed Logit Modelen_AU
dc.subjectValue of Timeen_AU
dc.titleEconomic Assessment of a Dynamic Autonomous Road Transit System for Singaporeen_AU
dc.typeConference paperen_AU
dc.identifier.doi10.1016/j.retrec.2020.100843
usyd.facultySeS faculties schools::The University of Sydney Business School::Institute of Transport and Logistics Studies (ITLS)en_AU
workflow.metadata.onlyNoen_AU


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