Cited by 13Vehicle emissions and performanceTransportation and Mobility InnovationsTraffic control and management

How can the built environment affect the impact of autonomous vehicles’ operational behaviour on air quality?

Rafael, Sandra, Fernandes, Paulo, Lopes, Diogo, Rebelo, Micael, Bandeira, Jorge, Macedo, Eloísa, Rodrigues, Mónica, Coelho, Margarida C. +2 more·2022·Journal of Environmental Management

Abstract

Autonomous vehicles (AVs) are pointed out as the technology that will reshape the concept of mobility, with significant implications for the economy, the environment, and society. This fact will bring new challenge to cities urban planning. Research to anticipate the AVs impacts, maximizing their benefits and reduce trade-offs are currently crucial. This work investigates the potential challenges and benefits of gradually replace internal combustion engine human driven vehicles with different penetration rates of AVs - 10%, 30%, 50%, 70%, 90%, and 100% - in urban roads of different characteristics, either in terms of traffic singularities or volumes, and its related implications on air quality. For that purpose, two urban areas with distinct features, Porto and Aveiro, were selected as case studies, and a modelling setup composed of a traffic model, an emission model, and a local air quality model was applied. The results revealed that the AVs benefits are directly linked with the urban design and the road characteristics. In the Aveiro case study, the AVs promoted positive changes with average reductions in daily NOx emissions (compared with the baseline scenario, without AVs) ranging between -2.1% (for C10%) and -7.7% (for C100%). In line with the emissions impacts, positive effects were found on air quality, with average reductions of NO 2 concentrations up to -4% (for C100%). In Porto urban area, slight differences in NOx emissions were obtained (<2%), which implied no ch…

Integrity signals

Registry

Crossref · 10.1016/j.jenvman.2022.115154

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Associated environmental benefits include improved air quality with an average reduction of nitrogen dioxide concentrations up to 4%.

    “Associated environmental benefits include improved air quality with average reduction of nitrogen dioxide concentrations up to -4% [30,40,41].”
  • Studies find that the electric autonomous option results in significant reductions in NOx emissions compared with a baseline and an autonomous scenario with 30% AV market penetration.

    “These studies find that the electric autonomous option results in significant reductions in NOx emissions by comparing three scenarios, including a baseline representing current traffic conditions, an autonomous scenario with a 30% AV market penetration, and an electric autonomous scenario with 30% batteryelectric AVs.”

Cited by

Sorted by citations

Authors
Rafael, S., Fernandes, P., Lopes, D., Rebelo, M., Bandeira, J., Macedo, E., Rodrigues, M., Coelho, M. C., Borrego, C., & Miranda, A. I.
Affiliations
  • Centro de Estudos do Ambiente e do Mar (PT)
  • Centro de Tecnologia Mecânica e Automação (PT)
Corresponding author
Rafael, Sandra
Venue
Journal of Environmental Management
Publisher
Elsevier BV
Published
2022-08
Volume
315
Pages
115154
ISSN
0301-4797 (ISSN-L)
OpenAlex
W4225150384
Cited by
13
References
0
Citations by year
2026: 2 · 2025: 2 · 2024: 5 · 2023: 3 · 2022: 1
FWCI
0.75
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Environmental Management (publishedVersion)
  • PubMed (publishedVersion)
Funders
Fundação para a Ciência e a Tecnologia
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
  • Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
  • Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
Keywords
autonomous vehicles, air quality, NOx emissions, AV penetration rate, urban street design, traffic signal coordination, traffic modeling, emission modeling, urban planning, Porto, Aveiro
MeSH terms
Built Environment, Autonomous Vehicles, Air Pollutants, Air Pollution, Vehicle Emissions, Environmental Monitoring, Humans

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review