A Study on the Behavioral Change of Passengers on Sustainable Air Transport after COVID-19

Song, Ki Han; Choi, Solsaem

doi:10.3390/su12219207

Cited by 33 publications

(41 citation statements)

References 35 publications

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“…Cognizant of the ongoing COVID-19 pandemic, greatly constraining travel, airport managers can take advantage of the findings of this study to organize resources to make sure that airports respond to the changing behaviors of passenger [93]. Well-put-together how-to tutorial videos can be made available on airports' apps or websites to train travelers on airport SSTs' use before travelers even get to the airport.…”

Section: Implications Of the Studymentioning

confidence: 99%

Airport Self-Service Technologies, Passenger Self-Concept, and Behavior: An Attributional View

et al. 2021

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Airports are rapidly deploying self-service technologies (SSTs) as a strategy to improve passenger experience by eliminating operational inefficiencies. This places some responsibility on the passengers to shape their experience. As service coproducers, passengers’ self-concepts and attributional tendencies are deemed instrumental in their consumption processes. Accordingly, drawing on the tenets of attribution theory, this study explores the interaction effects of passenger self-concept (am I competent at this?) and causal inference (who is responsible for SSTs’ performance?) on SST performance and satisfaction with airport SST link. Additionally, the probable spillover effect of passenger satisfaction with SST performance on satisfaction with airport and on electronic word-of-mouth (eWOM) is examined. The sample for the study consisted of 547 passengers departing from an airport in Shanghai, China. Structural equation modeling was utilized to test the study’s theoretical model. The findings indicate that airport SSTs’ performance influences passenger satisfaction with airport SSTs. The multiplicative effect of passenger self-concept (am I competent at this?) in the moderating role of passenger causal inference (who is responsible for SSTs’ performance?) in SST performance and satisfaction with SST link is demonstrated. Furthermore, the spillover effect of satisfaction with SST performance on satisfaction with airport and on electronic word-of-mouth (eWOM) is illustrated. Given the current need for contactlessness, the findings proffer critical managerial and research insights.

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Section: Implications Of the Studymentioning

confidence: 99%

Airport Self-Service Technologies, Passenger Self-Concept, and Behavior: An Attributional View

et al. 2021

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“…One typical question in such studies is regarding the shape of the recovery function, usually distinguishing L-shaped (longer valley of reduced function) or U-shaped (timely recovery) [103] recovery functions. From an operational analysis, it was reported that the recovery phase could take at least 2-4 years [104], a process involving many subjective factors, e.g., the perceived threat of COVID-19 and fear [105] and induced changes in passenger behavior [106]. This leads to a large potential for future studies to further model the recovery process using multi-layer complex networks at different scales.…”

Section: Recovery From Covid-19mentioning

confidence: 99%

Robustness of Air Transportation as Complex Networks:Systematic Review of 15 Years of Research and Outlook into the Future

Sun

Wandelt

2021

Sustainability

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Air transportation systems are an important part of the critical infrastructure in our connected world. Accordingly, a better understanding and improvements in the resilience of the overall air transportation system are essential to the well-functioning of our society and overall sustainability of human beings. In the literature, network science is increasingly used to better understand the resilience dynamics of air transportation. Given the wide application of tools for network science and the importance of designing resilient air transportation systems, a rich body of studies has emerged in recent years. This review paper synthesizes the related literature that has been published throughout the last 15 years regarding the robustness of air transportation systems. The contributions of this work consist of two major elements. The first part provides a comprehensive discussion and cross-comparison of the reported results. We cover several major topics, including node importance identification, failure versus attack profiles, recovery and improvement techniques, and networks of networks approaches. The second part of this paper complements the review of aggregated findings by elaborating on a future agenda for robust air transportation research. Our survey-style overview hopefully contributes toward a better understanding of the state of the art in this research area, and, in turn, to the improvement of future air transportation resilience and sustainability.

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“…We investigated whether air transport passengers have changed their perceptions on the resumption of air transport use in light of the progression of the COVID-19 pandemic. We looked for any changes in the structural equation model for the recovery of air transport use suggested by Song and Choi [1], after six months of changes in the pattern of COVID-19.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Perception Change of Passengers on Sustainable Air Transport Following COVID-19 Progress

Song

Choi

2021

Sustainability

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We investigate whether air transport passengers changed their perceptions on the resumption of air transport use as the circumstances of the COVID-19 pandemic have changed. We surveyed 1200 Koreans, and then six months later re-surveyed 840 people among those who participated in the first survey. We built a structural equation model that was configured of five latent variables: COVID-19-related, self-isolation, destination condition, level of preventive measures in the airport/aircraft, and social perception. We performed paired sample t-test, multi-group analysis, and latent mean analysis for two divided groups, based on the survey period. We found that the perception structure on resuming air transportation use over time during the COVID-19 pandemic has not changed, though a significant change has occurred in the responses to the measured and latent variables. In particular, a high variation was found in the awareness of COVID-19-related factors and social perceptions, and we suggest continuous monitoring of the related factors to preemptively respond to the recovery of air transport demand. On the other hand, we propose proactive level setting and the maintaining of sanitary conditions of the destination and preventive measures in the airport/aircraft. We expect that this study will provide effective implications for the recovery of air transport demand during the COVID-19 pandemic.

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A Study on the Behavioral Change of Passengers on Sustainable Air Transport after COVID-19

Cited by 33 publications

References 35 publications

Airport Self-Service Technologies, Passenger Self-Concept, and Behavior: An Attributional View

Airport Self-Service Technologies, Passenger Self-Concept, and Behavior: An Attributional View

Robustness of Air Transportation as Complex Networks:Systematic Review of 15 Years of Research and Outlook into the Future

A Study on the Perception Change of Passengers on Sustainable Air Transport Following COVID-19 Progress

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