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Cited by 122Electric Vehicles and InfrastructureInnovation Diffusion and ForecastingEnergy, Environment, and Transportation Policies

Development of an agent-based model for regional market penetration projections of electric vehicles in the United States

Open access
Noori, Mehdi, Tatari, Omer·2016·Energy
DOI 10.1016/j.energy.2015.12.018
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Crossref · 10.1016/j.energy.2015.12.018

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Claims other papers make about this one

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  • ABMs have been applied to a multitude of problems relevant to climate change, in particular to study low-carbon technology adoption.

    “ABMs have been applied to a multitude of problems relevant to climate change, in particular to study low-carbon technology adoption [320,584,656,878].”

    From Tackling climate change with machine learning (2023) · cites this paper as [584]

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References 41 · Cited by 122

Authors
Noori, M., & Tatari, O.
Affiliations
University of Central Florida (US)
Corresponding author
Noori, Mehdi
ORCID
Venue
Energy
Publisher
Elsevier BV
Published
2016-02
Volume
96
Pages
215-230
ISSN
0360-5442 (ISSN-L)
DOI
10.1016/j.energy.2015.12.018
OpenAlex
W2236261338
Cited by
122
References
41
Citations by year
2026: 4 · 2025: 8 · 2024: 4 · 2023: 14 · 2022: 23 · 2021: 14 · 2020: 14 · 2019: 11 · 2018: 15 · 2017: 10 · 2016: 5
FWCI
6.30
Type
journal article
Language
en
Open access
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Energy (publishedVersion)
  • Journal of International Crisis and Risk Communication Research (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
University of Central Florida (DTRT13-G-UTC51)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
Keywords
electric vehicles, market penetration, agent-based modeling, market share prediction, government subsidies, word-of-mouth effect, hybrid electric vehicles, internal combustion engine vehicles, transport emissions, energy security, 2030 projections

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