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Sustainable city logistics: rebound effects from self-driving vehicles
Citation Link: https://doi.org/10.15480/882.2501
Publikationstyp
Conference Paper
Publikationsdatum
2019-09-26
Sprache
English
TORE-URI
First published in
Number in series
28
Start Page
299
End Page
337
Citation
Hamburg International Conference of Logistics (HICL) 28: 299-337 (2019)
Contribution to Conference
Publisher
epubli GmbH
Purpose: This paper investigates direct and indirect rebound effects caused by the implementation of different types of car driving technologies – electric cars, high autonomous, and fully-autonomous vehicles in the sustainable city environment. Methodology: Lifecycle Assessment analysis extended by the social and economic dimensions has been completed for the aforementioned vehicle types in order to identify, categorize, and systemize the possible negative impacts of the investigated car driving technologies within the local (city logistics) and global (world ecosphere) environment. Findings: Differences between local and global induced negative impacts of the new driving technologies have been identified. The paper compares the most expected/ unexpected rebound effects for the three types of vehicles in the local city logistics environment and under the consideration of global impacts. Originality: The rebound effect is mostly based on energy consumption. In this research, we have identified and analyzed indirect rebound effects from the imminent adoption of self-driving vehicles that are relevant to either city logistics development or the global environmental system.
Schlagworte
Rebound effect
Sustainability
Autonomous vehicles
Life cycle
DDC Class
330: Wirtschaft
380: Handel, Kommunikation, Verkehr
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Möller_Daschkovska_Bogaschewsky_Sustainable_City_Logistics_Rebound_Effects_from_Self-Driving_Vehicles_hicl_2019.pdf
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