Autonomous driving and residential location preferences: Evidence from a stated choice survey

R Krueger, TH Rashidi, VV Dixit - Transportation Research Part C …, 2019 - Elsevier
Transportation Research Part C: Emerging Technologies, 2019Elsevier
The literature suggests that autonomous vehicles (AVs) may drastically change the user
experience of private automobile travel by allowing users to engage in productive or
relaxing activities while travelling. As a consequence, the generalised cost of car travel may
decrease, and car users may become less sensitive to travel time. By facilitating private
motorised mobility, AVs may eventually impact land use and households' residential location
choices. This paper seeks to advance the understanding of the potential impacts of AVs on …
Abstract
The literature suggests that autonomous vehicles (AVs) may drastically change the user experience of private automobile travel by allowing users to engage in productive or relaxing activities while travelling. As a consequence, the generalised cost of car travel may decrease, and car users may become less sensitive to travel time. By facilitating private motorised mobility, AVs may eventually impact land use and households’ residential location choices. This paper seeks to advance the understanding of the potential impacts of AVs on travel behaviour and land use by investigating stated preferences for combinations of residential locations and travel options for the commute in the context of autonomous automobile travel. Our analysis draws from a stated preference survey, which was completed by 512 commuters from the Sydney metropolitan area in Australia and provides insights into travel time valuations in a long-term decision-making context. For the analysis of the stated choice data, mixed logit models are estimated. Based on the empirical results, no changes in the valuation of travel time due to the advent of AVs should be expected. However, given the hypothetical nature of the stated preference survey, the results may be affected by methodological limitations.
Elsevier
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