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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

Smart mobility is poised to cause a socio-economic transition of transportation systems in cities (Garau et al., 2016; Lyons, 2018). As part of this transition, Automated Vehicles (AV) integration in public transport requires further investigation regarding the implications on the transport ecosystem (González-González et al., 2020). This has also become a prime concern because of the current Covid-19 situation. Indeed, the guidelines to restrict the pandemic that shrunk the global economy by 4.4% in 2020 have caused acute disruptions in public transport (The world bank 2020). The pandemic crisis also highlighted the vulnerabilities of the public transport ecosystem. It became more crucial to ensure accessible, safe, and reliable services (Liu et al., 2020; Jenelius and Cebecauer 2020). Thus, automated minibuses could provide a solution to the unsustainability of the transport sector and increase public transport competitiveness. Indeed, the introduction of on-demand, door-to-door, shared automated vehicles could reduce car-ownership, impact travel behaviour, enhance public transport services, and eventually lead to smart and livable cities (Nogués et al., 2020). To better ensure that this mode of transport achieves its potential, key stakeholders should be equipped with the tools to guide them in embedding the automated minibus in the future city (Medina-Tapia and Robusté 2019).This paper suggests possible future scenarios future scenarios of automated minibuses deployment and calculates the environmental impact through externalities caused by these modal shifts (from traditional transport to automated minibuses).Thus, the research tries to answer the question: What is the potential impact of the transition from traditional transport to new mobility (automated minibuses) in European cities?

Keywords

[SDE] Environmental Sciences, Autonomous public transport, Externalities, Modal shifts, Scenarios, 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
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