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Journal article · Ahead of Print article

Impact of vehicle automation and electric propulsion on production costs for mobility services worldwide

From

Swiss Federal Institute of Technology Zurich1

SUNY - The State University of New York2

nuTonomy Asia3

Transport, Department of Technology, Management and Economics, Technical University of Denmark4

Transport Demand, Transport, Department of Technology, Management and Economics, Technical University of Denmark5

Department of Technology, Management and Economics, Technical University of Denmark6

Southwest Jiaotong University7

Universidad de Chile8

Japan Transport and Tourism Research Institute9

Technion-Israel Institute of Technology10

Bandung Institute of Technology11

University of California at Davis12

University of Texas at Austin13

University of Sydney14

University of Pretoria15

German Aerospace Center16

...and 6 more

Automated driving technology along with electric propulsion are widely expected to fundamentally change our transport systems. They may not only allow a more productive use of travel time, but will likely trigger completely new business models in the mobility market. A key determinant of the future prospects of both existing and new mobility services will be their production costs.

Hence, in this research the production costs of various transport modes both today and in an automated-electric future are analyzed. To account for different local contexts, the study is conducted for 17 cities across the globe. The results indicate that high-income countries will benefit the most from vehicle automation, while only smaller changes can be expected in lower-income countries.

This is due to the different relative contribution of labor cost to the total cost of current taxi and bus operations. In a likely final state, transportation costs will be largely decoupled from a country’s income level, which will favor productivity in higher-income locations. While this research provides valuable first insights into potential future developments, the underlying assumptions will need to be updated as better information becomes available.

Language: English
Year: 2020
Pages: 105-126
ISSN: 09658564 and 18792375
Types: Journal article and Ahead of Print article
DOI: 10.1016/j.tra.2020.04.021
ORCIDs: Rich, Jeppe and Papu Carrone, Andrea Vanesa

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