Cost-based analysis of autonomous mobility services
By Patrick M. Bösch, F. Becker, Henrik Becker, Kay W. Axhausen. 2017
570 citations recorded by the source corpus.
The fast advances in autonomous driving technology prompt the question of suitable operational models for future autonomous vehicles. A key determinant of the viability of such operational models 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 economic in situations which allow substantial bundling of demand. In all other cases, shared and pooled vehicles serve the travel demand more efficiently. In contrast to the general opinion, shared fleets may not be the most efficient alternative due to higher efforts for vehicle cleaning. Moreover, a substantial share of vehicles may remain in private possession and use.
View Paper: https://www.semanticscholar.org/paper/abdb24c7199b0bf9494d6a6b09f7a0124ed51b0a
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Citations in the corpus
- Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS) (2018, methodology): “Overhead and management cost were used from [19], but reduced by 50 % for e-bikes.”
- Can sharing a ride make for less traffic? Evidence from Uber and Lyft and implications for cities (2021, background): “A host of societal benefits were predicted: less traffic, lower vehicle emissions, fewer motor vehicle crashes, and more productive use of land now devoted to parking (Bosch et al., 2018; Loeb and Kockelman 2019; Sperling et al. 2018; Shaheen 2018).”
- Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound (2019, background): “Marginal fuel and time costs are economically important and technologically relevant: together, they make up the majority of the variable cost of travel (19% and 45%, respectively [28]), and they are both projected to drop significantly with the diffusion of CAV technology [2,26,29,30].”