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https://doi.org/10.5281/zenodo...
Other ORP type . 2021
License: CC BY
Data sources: Sygma
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What is the potential impact of the transition from traditional transport to new mobility models (electric automated minibuses) in European cities?

Authors: Jaroudi, Ines; Horschutz Nemoto, Eliane; Korbee, Dorien; Bulteau, Julie; Viere, Tobias; Fournier, Guy;

What is the potential impact of the transition from traditional transport to new mobility models (electric automated minibuses) in European cities?

Abstract

As a prime contender to revolutionise the global auto industry, automated vehicles deployment in cities and within the transport ecosystem requires further investigation. This has also become a prime concern because of the current Covid-19 situation. The introduction of automated minibuses could cause major modal shifts towards or away from public transport. Thus, it is crucial to predict potential deployments and determine their implications to avoid repeating an individual-centric mobility model. This paper suggests possible future scenarios of automated minibuses deployment and calculates the environmental impact through externalities caused by these modal shifts (from traditional transport to automated minibuses). Based on scenario planning and externalities calculations, a methodology is presented and applied to a case study of Geneva using data from a mobility census of Geneva in 2015 and insights from a European project, AVENUE. First, the analysis presents marginal external costs for the automated minibuses. Then, it describes 3 scenarios that highlight the integration of the automated minibuses in public transport and their effects on modal shares. The assessment shows that replacing all cars with automated minibuses produces the best savings of externalities. Replacing all buses with automated minibuses leads to higher externalities. The integration of the automated minibuses as part of mobility-as-a-service MaaS is the most feasible and scalable. The study emphasises the role of targeted policies to optimise the benefits of automated minibuses.

Keywords

Autonomous public transport, Scenarios, Externalities, Modal shifts

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Funded by
EC| AVENUE
Project
AVENUE
Autonomous Vehicles to Evolve to a New Urban Experience
  • Funder: European Commission (EC)
  • Project Code: 769033
  • Funding stream: H2020 | IA
Related to Research communities
Corona Virus Disease
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