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Autonomous Vehicles and the Future of Private Vehicle Ownership

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  • Tin Pofuk

    (University of Primorska, Faculty of Management, Slovenia)

Abstract

The world is changing very rapidly. All advanced economies, as well as some emerging ones are facing big demographic changes, with ever-increasing levels of automation and interconnectedness. One of the processes that are poised to have an enormous effect on transportation and labor markets is the availability of mobility on demand. This article examines the attitudes of people towards mobility on demand provided by fully autonomous vehicles, corresponding to a level 5 automation according to the current SAE classification. The aim of the paper is to discover if there is a market for mobility on demand as well as its size. While the study was made in Slovenia, the results can be indicative for all similar OECD countries. In this paper, we will focus solely of personal transportation, ignoring commercial transportation. Recent studies suggest that fully autonomous vehicles have an outstanding potential in reducing pollution, lowering congestion rates, increasing the frequency of transport, while at the same time making it cheaper and faster than ever before. While these dramatic improvements are possible with current internal combustion engine vehicles, only with a transition to fully electric automatic vehicles and the use of vehicles of different sizes according to the type of trip the full potential of these improvements can be achieved. For example, small one-person vehicles might be used for work commutes, hatchbacks for groceries, minivans for family trips, and so forth. While for the foreseeable future personal vehicle ownership rates are likely to stay the same (or are set to rise in emerging economies), when fully autonomous vehicles become available starting in the 2030’s, it is possible that private ownership rates will drop in favor of on-demand automated cab-like transportation or mobility on demand. Private or public enterprises might operate fleets of vehicles, which will use techniques such as cameras, radars, GPS, internet and other advanced control systems to operate safely on the road, as demonstrated recently by pioneers such as Tesla Motors. These smart, efficient and interconnected vehicles will offer the possibility of pick-up on demand and drop-off at any desired location with a vehicle specifically chosen for that trip. Since the subject is very new, few studies have been made so far. Our study is based on a poll conducted in 2017 on over 100 individuals from Slovenia. The respondents were informed about autonomous vehicles (as the subject is still unknown to many) and asked whether they would use autonomous vehicles at all, and if so, would they use them exclusively or occasionally while retaining their own vehicles. The results suggest that while a significant minority of car owners would choose to retain their own vehicles, a majority would choose to abandon them in exchange for mobility on demand.

Suggested Citation

  • Tin Pofuk, 2017. "Autonomous Vehicles and the Future of Private Vehicle Ownership," MIC 2017: Managing the Global Economy; Proceedings of the Joint International Conference, Monastier di Treviso, Italy, 24–27 May 2017,, University of Primorska Press.
  • Handle: RePEc:prp:micp17:555-567
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    References listed on IDEAS

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    1. Marcos Amatucci, 2015. "The world that chose the machine: an evolutionary view of the technological race in the history of the automobile," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 15(1), pages 43-62.
    2. Valeri, Eva & Danielis, Romeo & Pofuk, Tin & Rotaris, Lucia & Rusich, Andrea, 2013. "Scenari di penetrazione di mercato di automobili con differenti tipologie di alimentazione," Working Papers 13_4, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    3. Valeri, Eva & Danielis, Romeo, 2015. "Simulating the market penetration of cars with alternative fuelpowertrain technologies in Italy," Transport Policy, Elsevier, vol. 37(C), pages 44-56.
    4. David Levinson, 2015. "Climbing Mount Next: The Effects of Autonomous Vehicles on Society," Working Papers 000139, University of Minnesota: Nexus Research Group.
    5. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    6. Jackson, Tim & Marks, Nic, 1999. "Consumption, sustainable welfare and human needs--with reference to UK expenditure patterns between 1954 and 1994," Ecological Economics, Elsevier, vol. 28(3), pages 421-441, March.
    7. Tinna Asgeirsdottir & Gylfi Zoega, 2011. "On the economics of sleeping," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 10(2), pages 149-164, December.
    8. Frances Goldscheider & Eva Bernhardt & Trude Lappegård, 2015. "The Gender Revolution: A Framework for Understanding Changing Family and Demographic Behavior," Population and Development Review, The Population Council, Inc., vol. 41(2), pages 207-239, June.
    9. Valeri, Eva & Danielis, Romeo & Pofuk, Tin & Rotaris, Lucia & Rusich, Andrea, 2013. "Scenari di penetrazione di mercato di automobili con differenti tipologie di alimentazione," Working Papers 1304, SIET Società Italiana di Economia dei Trasporti e della Logistica.
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    Cited by:

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