A qualitative analysis of social and emotional perspectives of airline passengers during the COVID-19 pandemic.

Background: Fear of illness, economic damage, and stigma have had a devastating impact on the travel industry and have caused a significant reduction in both business and leisure travel. This study examines passengers' social and emotional perspectives during and after the COVID-19 pandemic, building on a prior quantitative study that identified factors that predict a person's willingness to fly during the COVID-19 pandemic. Methods: This study used a qualitative method with a phenomenological perspective and hermeneutic design. Fifteen adults from the United States participated in a personal interview designed to capture demographics, individual safety measures, feelings, and concerns involving air travel during the pandemic. Personal interview transcripts were then inspected by the researchers using a constant comparison method. Results: The personal experiences of participants were dominated by projections of trust issues and emotional heuristics, protective behaviors, and fear of confrontations with others, and a fear of the unknown. These themes emerged even in participants who continued to fly during the pandemic. Conclusion: Insights into travelers' emotions, trust, and fears may help airlines and other segments of the travel industry to develop targeted messaging that supports the trust and safety issues confronted by frequent travelers.

Factors that predict passengers willingness to fly during and after the COVID-19 pandemic.

BACKGROUND: Prior research has examined consumer willingness to fly in a variety of situations, including during disease outbreaks. However, to date, no study that we know of has identified what type of person is willing to fly during the COVID-19 pandemic. METHODS: Six hundred and thirty-two participants from the United States were asked to complete a survey designed to capture demographics, personality measures, emotional states and travel purposes. The data were collected in two stages in order to both develop a descriptive regression equation and a predictive model. RESULTS: Regression equations were created for both business and pleasure travel, and the following predictors were significant for both scenarios: perceived threat from COVID-19, agreeableness, affect, and fear. These models accounted for 66-67% of the variance in willingness to fly. CONCLUSION: Airlines and governments could use these findings to help control the message to potential passengers on actions being taken to provide a safe flying experience, such as mask wearing policies and aircraft disinfectant procedures.