ArticleCase studies on transport policy2022
The impact of the COVID-19 crisis on the US airline market: Are current business models equipped for upcoming changes in the air transport sector?
Article in Case studies on transport policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 50 citations in OpenAlex.
- A data-driven analysis of the aviation recovery from the COVID-19 pandemic.Journal of air transport management · 2023Article
- COVID-19 pandemic and air transportation: Summary of Recent Research, Policy Consideration and Future Research Directions.Transportation research interdisciplinary perspectives · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We address the impact of the COVID-19 crisis on the US airlines market and discuss the benefits and limitations of current business models in a context of increasing socio-economic uncertainty and stringent environmental regulations. Drawing our data from the Bureau of Transportation Statistics and 10-K/A reports, we undertook an exploratory study of the performance of the 10 main passenger airlines in their domestic operation during one year. We found that, although major losses occurred industry-wide, ultra-low-cost and low-cost airlines fared better than full-service network carriers did in terms of financial performance. We argue, nevertheless, that such apparently successful business models are not necessarily adaptive to address future industry changes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.