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Initial Long-Term Scenarios for COVID-19's Impact on Aviation and Implications for Climate Policy.
Dray, Lynnette; Schäfer, Andreas W.
  • Dray L; Air Transportation Systems Lab, Energy Institute, University College London, London, UK.
  • Schäfer AW; Air Transportation Systems Lab, Energy Institute, University College London, London, UK.
Transp Res Rec ; 2677(4): 204-218, 2023 Apr.
Article in English | MEDLINE | ID: covidwho-2314210
ABSTRACT
The COVID-19 pandemic had a dramatic impact on aviation in 2020, and the industry's future is uncertain. In this paper, we consider scenarios for recovery and ongoing demand, and discuss the implications of these scenarios for aviation emissions-related policy, including the Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA) and the EU Emissions Trading Scheme (ETS). Using the Aviation Integrated Model (AIM2015), a global aviation systems model, we project how long-term demand, fleet, and emissions projections might change. Depending on recovery scenario, we project cumulative aviation fuel use to 2050 might be up to 9% below that in scenarios not including the pandemic. The majority of this difference arises from reductions in relative global income levels. Around 40% of modeled scenarios project no offset requirement in either the CORSIA pilot or first phases; however, because of its more stringent emissions baseline (based on reductions from year 2004-2006 CO2, rather than constant year-2019 CO2), the EU ETS is likely to be less affected. However, if no new policies are applied and technology developments follow historical trends, year-2050 global net aviation CO2 is still likely to be well above industry goals, including the goal of carbon-neutral growth from 2019, even when the demand effects of the pandemic are accounted for.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Long Covid Language: English Journal: Transp Res Rec Year: 2023 Document Type: Article Affiliation country: 03611981211045067

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Long Covid Language: English Journal: Transp Res Rec Year: 2023 Document Type: Article Affiliation country: 03611981211045067