Automated driving technologies are currently penetrating the market, and the coming fully autonomous cars will have far-reaching, yet largely unknown, implications. A critical unknown is the impact on traveler behavior, which in turn impacts sustainability, the economy, and wellbeing. Most behavioral studies, to date, either focus on safety and human factors (driving simulators; test beds), assume travel behavior implications (microsimulators; network analysis), or ask about hypothetical scenarios that are unfamiliar to the subjects (stated preference studies). Here we present a different approach, which is to use a naturalistic experiment to project people into a world of self-driving cars. We mimic potential life with a privately-owned self-driving vehicle by providing 60 h of free chauffeur service for each participating household for use within a 7-day period. We seek to understand the changes in travel behavior as the subjects adjust their travel and activities during the chauffeur week when, as in a self-driving vehicle, they are explicitly relieved of the driving task. In this first pilot application, our sample consisted of 13 subjects from the San Francisco Bay area, drawn from three cohorts: millennials, families, and retirees. We tracked each subject’s travel for 3 weeks (the chauffeur week, 1 week before and 1 week after) and conducted surveys and interviews. During the chauffeur week, we observed sizable increases in vehicle-miles traveled and number of trips, with a more pronounced increase in trips made in the evening and for longer distances and a substantial proportion of “zero-occupancy” vehicle-miles traveled.
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A complement to our experiment would be to investigate the travel behavior impacts if people were to make use of a shared fleet of self-driving vehicles (rather than private ownership), and this is left for future research.
Bansal, P., Kockelman, K.M.: Are we ready to embrace connected and self-driving vehicles? A case study of Texans. Transportation 44, 1–35 (2016)
Biersted, J., Gooze, A., Gray, C., Peterman, J., Raykin, L., Walters, J.: Effects of Next-Generation Vehicles on Travel Demand & Highway Capacity. Fehr & Peers Think Initiative, San Diego (2014)
Childress, S., Brice, N., Billy, C., Stefan, C.: Using an activity-based model to explore possible impacts of automated vehicles. Transp. Res. Rec. 2493, 99–106 (2015)
Cyganski, R., Fraedrich, E., Lenz, B.: Travel-time valuation for automated driving: a use-case-driven study. Annu. Meet. Transp. Res. Board 15, 11–15 (2015)
Daziano, R., Leard, B., Sarrias, M.: Are consumers willing to pay to let cars drive for them? analyzing response to autonomous vehicles. Transp. Res. Part C 78, 150–164 (2017)
Fagnant, D., Kockelman, K.: The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios. Transp. Res. Part C 40, 1–13 (2014)
Felix, B., Kay, A.: Predicting the use of automated vehicles (First results from the pilot survey). In: Swiss Transport Research Conference (2017, May)
Gertler, P.J., Martinez, S., Premand, P., Vermeersch, C.M., Warlings, L.B.: Impact Evaluation in Practice, Second edn, pp. 54–55. World Bank Group, Washington, DC (2011)
Jamson, A.H., Carsten, O.M., Lai, F.C., Merat, N.: February). Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions. Transp. Res. Part C Emerg. Technol. 30, 116–125 (2013)
Kolarova, V., Steck, F., Cyganski, R., Trommer, S.: Estimation of the value of time for autonomous driving using revealed and stated preference methods. Transp. Res. Rec. J. Transp. Res. Board 130, 872 (2018)
Lavieri, P., Garikapati, V., Bhat, C., Pendyala, R., Astroza, S., Dias, F.: Modeling individual preferences for ownership and sharing of autonomous vehicle technologies transportation research record. J. Transp. Res. Board 2665, 1–10 (2017)
Malokin, A., Circella, G., Mokhtarian, P.L.: How do activities conducted while commuting influence mode choice? testing transit-advantage and autonomous-vehicle scenarios. In: Paper Presented at the 94th TRB-Transportation Research Board Meeting, Washington D.C., USA (2015, January)
Milakis, D., Snelder, M., van Arem, B., van Wee, B., Correia, G.: Development of Automated Vehicles in the Netherlands: Scenarios for 2030 and 2050. Delft University of Technology, Delft (2015)
Schoettle, B., Sivak, M.: Public opinion about self-driving vehicles in China, India, Japan, the U.S., the U.K., and Australia (Report No. UMTRI-2014-30). The University of Michigan Transportation Research Institute, Ann Arbor (2014, October)
Schoettle, B., Sivak, M.: Potential Impact of Self-Driving Vehicles on Household Vehicle Demand and Usage. The University of Michigan Transportation Research Institute, Ann Arbor (2015)
Urban Mobility System Upgrade: How Shared Self-Driving Cars Could Change City Traffic. International Transport Forum, Leipzig (2015)
Walters, J., Calthorpe, P.: Autonomous vehicles: hype and potential. URBANLAND Magazine (2017, March). https://urbanland.uli.org/industry-sectors/infrastructure-transit/autonomous-vehicles-hype-potential/
Zmud, J., Ipek, S.: Towards an understanding of the travel behavior impact of autonomous vehicles. Transp. Res. Proc. 25, 2500–2519 (2017)
We thank Yoram Shiftan and Kostas Goulias for earlier discussions regarding the experimental design.
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Harb, M., Xiao, Y., Circella, G. et al. Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experiment. Transportation 45, 1671–1685 (2018). https://doi.org/10.1007/s11116-018-9937-9
- Travel behavior
- Self-driving vehicles
- Naturalistic experiment