Abstract
Automated vehicles, if shared, have the potential to blur the lines between public and private transportation services. This chapter reviews possible future shared automated vehicle (SAV) business models and their potential impacts on travel behavior. By examining the impacts of non-automated shared mobility services like carsharing and ridesourcing, we foster a better understanding of how current shared mobility services affect user behavior. This serves as a starting point to explore the potential impact of SAV services. Several key studies covering the topic are discussed. Although the future of SAVs is uncertain, this chapter begins the dialogue around SAV business models that may develop, which are informed by current shared mobility services.
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Acknowledgements
The authors would like to thank the International Transport Forum (ITF) at the OECD for initial funding for this study as part of the Co-operative Mobility Systems and Automated Driving Roundtable during December 2016 in Ottawa, Canada. Specifically, we would like to thank Tom Voege of ITF-OECD for providing valuable feedback on the original roundtable paper. We would also like to thank Carlin Liao at TSRC, UC Berkeley for assisting with research related to this study.
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Stocker, A., Shaheen, S. (2018). Shared Automated Mobility: Early Exploration and Potential Impacts. In: Meyer, G., Beiker, S. (eds) Road Vehicle Automation 4. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-60934-8_12
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DOI: https://doi.org/10.1007/978-3-319-60934-8_12
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