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An empirical analysis of American Passenger's willingness to fly in commercial airplanes after vaccination against COVID-19.
Rice, Stephen; Ruskin, Keith J; Winter, Scott R; Crouse, Sean R; Rice, Connor; Richards, Grace.
  • Rice S; Embry-Riddle Aeronautical University, 1 Aerospace Blvd.Daytona Beach, Florida, 32114, USA.
  • Ruskin KJ; University of Chicago, 5801 South Ellis Ave, Chicago, Illinois, 60637, USA.
  • Winter SR; Embry-Riddle Aeronautical University, 1 Aerospace Blvd.Daytona Beach, Florida, 32114, USA.
  • Crouse SR; Embry-Riddle Aeronautical University, 1 Aerospace Blvd.Daytona Beach, Florida, 32114, USA.
  • Rice C; University of Florida, Gainesville, Florida, 32611, USA.
  • Richards G; University of Chicago, 5801 South Ellis Ave, Chicago, Illinois, 60637, USA.
Technol Soc ; 73: 102241, 2023 May.
Article in English | MEDLINE | ID: covidwho-2302521
ABSTRACT
Although several studies have explored the effects of the pandemic on aviation, little remains known about whether members of the public are willing to fly again after they have been vaccinated. The current study uses the Health Belief Model (HBM) to fill this missing gap by manipulating the following variables 1) whether or not the participant is vaccinated; 2) whether or not airlines require that all passengers and crew receive vaccinations; 3) length of flight; 4) destination; and 5) the number of passengers. The data from 678 participants revealed that willingness to fly is much higher if the participants themselves have been vaccinated, if the airlines require all passengers to be vaccinated, if the flight is short, if the destination is domestic, and if the number of passengers is low. These findings did not appear to differ as a function of flying business versus pleasure. We discuss the practical implications of these data as airlines struggle to bring back their customer base.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Journal: Technol Soc Year: 2023 Document Type: Article Affiliation country: J.techsoc.2023.102241

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Journal: Technol Soc Year: 2023 Document Type: Article Affiliation country: J.techsoc.2023.102241