961
Views
5
CrossRef citations to date
0
Altmetric
Articles

Ethical-decision making of ‘Flights to Nowhere’ passengers in the COVID-19 and climate change era

ORCID Icon & ORCID Icon
Pages 735-751 | Received 14 Dec 2021, Accepted 29 Jan 2022, Published online: 13 Feb 2022
 

ABSTRACT

With international travel halting as a result of the outbreak of COVID-19, several airlines sought to offer Flights to Nowhere as a way to generate revenue and keep their aircrafts flight-ready. Flights to Nowhere are sightseeing flights that start and finish at the same airport without landing elsewhere. These flights have been heavily criticized for creating unnecessary greenhouse gas emissions. This research explores the ethical decision-making process and the subsequent rationalization of taking Flights to Nowhere. Using cognitive dissonance theory and neutralization techniques, we analyse in-depth interviews with passengers that have recently taken a Flight to Nowhere. Passengers did not immediately make the connection between Flights to Nowhere and climate change but on reflection, they justified these flights using a range of neutralization techniques including an appeal to higher loyalties, denial of injury, and justification by comparison.

Acknowledgements

The authors sincerely thank Adi Elenoa Draunidalo for her assistance in transcribing the interviews.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 273.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.