Like many cities around the world, New York City is establishing policies to reduce CO2 emissions from all energy sectors by 2050. Understanding the impact of varying degrees of electric vehicle adoption and CO2 intensities on emissions reduction in the city is critical. Here, using a technology-rich, bottom-up, energy system optimization model, we analyse the cost and air emissions impacts of New York City’s proposed CO2 reduction policies for the transportation sector through a scenario framework. Our analysis reveals that the electrification of light-duty vehicles at earlier periods is essential for deeper reductions in air emissions. When further combined with energy efficiency improvements, these actions contribute to CO2 reductions under the scenarios of more CO2-intense electricity. Substantial reliance on fossil fuels and a need for structural change pose challenges to cost-effective CO2 reductions in the transportation sector. Here we find that uncertainties associated with decarbonization of the electric grid have a minimum influence on the cost-effectiveness of CO2 reduction pathways for the transportation sector.
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This research was supported in part by an appointment to the Research Participation Program for the US EPA, Office of Research and Development, administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the US Department of Energy and EPA. The views expressed in this article are those of the authors and do not necessarily represent the views or policies of the US EPA.
The authors declare no competing interests.
Peer review information Nature Energy thanks the anonymous reviewers for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Model output data for fuel consumption in the transportation sector in petajoules for the STEADY-STATE, DEPENDENCE and REVOLUTON scenarios.
Model output data for fuel consumption per mode of transportation in the STEADY-STATE, DEPENDENCE and REVOLUTON scenarios.
Model output data for transportation CO2 emissions in MtCO2 in STEADY-STATE, and emissions changes in DEPENDENCE and REVOLUTON relative to STEADY-STATE.
Model output data for transportation sector NOx emissions in kt in STEADY-STATE, and emissions changes in DEPENDENCE and REVOLUTON relative to STEADY-STATE.
Model output data for unit CO2 emissions rate for light-duty vehicle types.
Model output data for transportation NOx emissions changes in the BATTERY, TNC and MODESWITCH variations of the DEPENDENCE and REVOLUTION scenarios relative to STEADY-STATE in kt.
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Isik, M., Dodder, R. & Kaplan, P.O. Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates. Nat Energy 6, 92–104 (2021). https://doi.org/10.1038/s41560-020-00740-2
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