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Comprehensive analysis method of determining global long-term GHG mitigation potential of passenger battery electric vehicles
17/17 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 17 checked references that resolve
resolves10.1007/s12053-018-9678-9
Lifestyle, efficiency and limits: modelling transport energy and emissions using a socio-technical approach
resolves10.1016/j.jpowsour.2008.09.115
Energy analysis of electric vehicles using batteries or fuel cells through well-to-wheel driving cycle simulations
resolves10.1016/j.jclepro.2019.117604
A probabilistic approach for determining the influence of urban traffic management policies on energy consumption and greenhouse gas emissions from a battery electric vehicle
resolves10.1016/j.enpol.2018.07.033
Long-term U.S transportation electricity use considering the effect of autonomous-vehicles: Estimates & policy observations
resolves10.1016/j.gloenvcha.2016.06.004
The marker quantification of the Shared Socioeconomic Pathway 2: A middle-of-the-road scenario for the 21st century
resolves10.1016/j.trd.2018.03.014
Hybrid- and battery-electric vehicles offer low-cost climate benefits in China
resolves10.1016/j.trd.2019.05.005
Contributions of shared autonomous vehicles to climate change mitigation
resolves10.1021/acs.est.6b00830
Cradle-to-Gate Emissions from a Commercial Electric Vehicle Li-Ion Battery: A Comparative Analysis
resolves10.1016/j.enpol.2018.10.030
Charging infrastructure for electric vehicles in Multi-Unit Residential Buildings: Mapping feedbacks and policy recommendations
resolves10.1016/j.trd.2016.04.003
Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices
resolves10.1016/j.trd.2017.06.018
Greenhouse gas emissions associated with electric vehicle charging: The impact of electricity generation mix in a developing country
resolves10.1016/j.tra.2015.12.001
Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles
resolves10.1126/science.1208365
The Technology Path to Deep Greenhouse Gas Emissions Cuts by 2050: The Pivotal Role of Electricity
The 28 references without a DOI — listed, not checked
no DOI — not checked10.1016/j.jclepro.2020.125137_bib2
no DOI — not checked10.1016/j.jclepro.2020.125137_bib3
no DOI — not checkedReal-time carpooling and ride-sharing: position paper on design concepts
no DOI — not checked10.1016/j.jclepro.2020.125137_bib7
no DOI — not checked10.1016/j.jclepro.2020.125137_bib8
no DOI — not checked10.1016/j.jclepro.2020.125137_bib9
no DOI — not checked10.1016/j.jclepro.2020.125137_bib10
no DOI — not checked10.1016/j.jclepro.2020.125137_bib11
no DOI — not checked10.1016/j.jclepro.2020.125137_bib12
no DOI — not checked10.1016/j.jclepro.2020.125137_bib16
no DOI — not checkedAnalysis of the future development of Chinese auto energy saving and environmental benefits
no DOI — not checked10.1016/j.jclepro.2020.125137_bib20
no DOI — not checked10.1016/j.jclepro.2020.125137_bib22
no DOI — not checked10.1016/j.jclepro.2020.125137_bib23
no DOI — not checked10.1016/j.jclepro.2020.125137_bib24
no DOI — not checked10.1016/j.jclepro.2020.125137_bib25
no DOI — not checked10.1016/j.jclepro.2020.125137_bib26
no DOI — not checked10.1016/j.jclepro.2020.125137_bib27
no DOI — not checked10.1016/j.jclepro.2020.125137_bib32
no DOI — not checked10.1016/j.jclepro.2020.125137_bib33
no DOI — not checked10.1016/j.jclepro.2020.125137_bib35
no DOI — not checked10.1016/j.jclepro.2020.125137_bib36
no DOI — not checkedA review on energy, environmental, and sustainability implications of connected and automated vehicles
no DOI — not checked10.1016/j.jclepro.2020.125137_bib38
no DOI — not checkedForecasting of electric vehicle quantity based on the elastic coefficient and Shaanxi vehicles ownership per thousand people method
no DOI — not checked10.1016/j.jclepro.2020.125137_bib42
no DOI — not checkedForecast of electric vehicles in China based on Bass model
no DOI — not checked10.1016/j.jclepro.2020.125137_bib45
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