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Cited by 20Electric Vehicles and InfrastructureTransportation and Mobility InnovationsMulti-Criteria Decision Making

Infrastructure Planning for Autonomous Electric Vehicles, Integrating Safety and Sustainability Aspects: A Multi-Criteria Analysis Approach

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Anastasiadou, Konstantina, Gavanas, Nikolaos, Pitsiava-Latinopoulou, Magda, Bekiaris, Evangelos·2021·Energies
DOI 10.3390/en14175269
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Abstract

After the awareness-raising of recent years for coping with the global societal, economic and environmental challenges, the need for sustainable planning in the transport sector has become even more evident. Initiatives aiming at promoting sustainable and innovative mobility solutions, especially in urban areas where mobility needs are higher and transport problems are more intense, have been launched by different organizations around the world. In this context, autonomous electric vehicles are emerging as a promising solution; however, they are accompanied by new infrastructure requirements, along with safety concerns. Policymakers will be confronted with an array of choices, such as plug-in or wireless, dynamic or stationary charging and mixed flow with conventional vehicles or dedicated lanes, taking into account the uncertain impacts of innovation on safety and sustainability. Within this scope, these infrastructure alternatives are evaluated and prioritized, for the first time, in the present study, through the combined application of two hybrid multi-criteria analysis models, with the participation of experts. The analysis is based on a set of safety and sustainability criteria. Road safety and exposure to electromagnetic radiation emerge as the most important criteria, with the optimum solution—based on current data—consisting of plug-in charging and the circulation of autonomous electric vehicles in dedicated lanes.

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Crossref · 10.3390/en14175269

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  • The system of electric AVs can reduce journey time, free up parking in urban areas, and generate cost benefits for customers.

    “The system of electric AVs can reduce journey time, free up parking in urban areas, and generate cost benefits for customers [43][44][45].”

    From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [44]

    Section 5 (Results and Discussion; page not available) evaluates traffic-congestion reduction, and the paper links congestion to users’ time value. That offers limited support for the journey-time point, but the paper does not establish that electric AVs free urban parking space or generate cost benefits for customers; its cost criterion concerns infrastructure. (LLM, conf=0.81)

    Experimental — accuracy not yet measured

  • Improving public transportation can persuade more people to use sustainable means of transportation instead of private vehicles, lowering traffic congestion and emissions.

    “By improving public transportation, this attempts to persuade more people to utilize sustainable means of transportation instead of private vehicles, so lowering traffic congestion and emissions [43,44,67,68,72].”

    From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [44]

    Section 4.1 discusses public transport as a possible application of autonomous and electric vehicle technologies, and the Introduction says innovative vehicle technologies can reduce emissions. The paper does not say that improving public transportation persuades people to leave private vehicles or that such a shift reduces congestion; its analysis instead concerns infrastructure for autonomous electric vehicles. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

  • The introduction of AVs is considered a chance to increase the allure of public transportation by enabling broad dissemination of shared vehicles that might support the mass rapid transit network.

    “By enabling a broad dissemination of shared vehicles that might support the mass rapid transit network, the introduction of AVs is considered as a chance to increase the allure of public transportation.”

    From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [44]

    Section 4.1 (page not available) says that automation and electrification concern public transport as well as private cars. It does not say that widely available shared AVs could support mass rapid transit or make public transportation more attractive. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

  • Dedicated lanes improve general traffic safety in addition to the effectiveness of AV operations.

    “These lanes improve general traffic safety in addition to the effectiveness of AV operations.”

    From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [44]

    In §5 (Results and Discussion; page unavailable), the mixed-flow alternative performs much worse on road safety than the three dedicated-lane alternatives. The same section ranks dedicated-lane alternatives above mixed flow on traffic congestion, but it does not assess the effectiveness of AV operations specifically. The paper therefore supports the safety comparison, not the full claim. (LLM, conf=0.83)

    Experimental — accuracy not yet measured

  • This infrastructure gives AV users choice by including both wireless and plug-in charging alternatives.

    “This infrastructure gives AV users choice by including both wireless and plug-in charging alternatives [44].”

    From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [44]

    Section 4.4 lists plug-in and wireless charging as separate infrastructure alternatives evaluated in the study. The Conclusions identify plug-in charging as the preferred solution; the paper does not say that one infrastructure includes both options or gives AV users a choice between them. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

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Cited by

Sorted by citations

Authors
Anastasiadou, K., Gavanas, N., Pitsiava-Latinopoulou, M., & Bekiaris, E.
Affiliations
  • Aristotle University of Thessaloniki (GR)
  • University of Thessaly (GR)
  • School of Civil Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
  • Centre for Research and Technology Hellas (GR)
Corresponding author
Anastasiadou, Konstantina
ORCID
Venue
Energies
Publisher
MDPI AG
Published
2021-08-25
Volume
14
Issue
17
Pages
5269
ISSN
1996-1073 (ISSN-L)
DOI
10.3390/en14175269
OpenAlex
W3197318117
Cited by
20
References
3
Citations by year
2026: 2 · 2025: 2 · 2024: 6 · 2023: 5 · 2022: 3 · 2021: 2
FWCI
1.18
Type
journal article
Language
en
Open access
Licence
Locations
  • Energies (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • University of Thessaly Institutional Repository (University of Thessaly) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
Keywords
autonomous electric vehicles, charging infrastructure, infrastructure planning, road safety, electromagnetic field exposure, sustainable transport, multi-criteria decision making, expert participation, plug-in charging, wireless charging, dedicated lanes, urban transport

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