Cost-based analysis of autonomous mobility services
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Date
2018-05
Publication Type
Journal Article
ETH Bibliography
yes
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Abstract
Fast advances in autonomous driving technology trigger the question of suitable operational models for future autonomous vehicles. A key determinant of such operational models’ viability is the competitiveness of their cost structures. Using a comprehensive analysis of the respective cost structures, this research shows that public transportation (in its current form) will only remain economically competitive where demand can be bundled to larger units. In particular, this applies to dense urban areas, where public transportation can be offered at lower prices than autonomous taxis (even if pooled) and private cars. Wherever substantial bundling is not possible, shared and pooled vehicles serve travel demand more efficiently. Yet, in contrast to current wisdom, shared fleets may not be the most efficient alternative. Higher costs and more effort for vehicle cleaning could change the equation. Moreover, the results suggest that a substantial share of vehicles may remain in private possession and use due to their low variable costs. Even more than today, high fixed costs of private vehicles will continue to be accepted, given the various benefits of a private mobility robot.
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published
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Journal / series
Volume
64
Pages / Article No.
76 - 91
Publisher
Elsevier
Event
Edition / version
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Organisational unit
03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus)
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Notes
Funding
159234 - Autonomous Cars – The next revolution in mobility (SNF)
153807 - Sharing is Saving: how collaborative mobility can reduce the impact of energy consumption for transportation (SNF)
153807 - Sharing is Saving: how collaborative mobility can reduce the impact of energy consumption for transportation (SNF)
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