IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v119y2022icp32-44.html
   My bibliography  Save this article

Mask-wearing intentions on airplanes during COVID-19 – Application of theory of planned behavior model

Author

Listed:
  • Pan, Jing Yu
  • Liu, Dahai

Abstract

The COVID-19 pandemic has devastated the air transport industry, forcing airlines to take measures to ensure the safety of passengers and crewmembers. Among the many protective measures, mask mandate onboard the airplane is an important one, but travelers' mask-wearing intentions during flight remain uninvestigated especially in the US where mask use is a topic of on-going debate. This study focused on the mask use of airline passengers when they fly during COVID-19, using the theory of planned behavior (TPB) model to examine the relationship between nine predicting factors and the mask-wearing intention in the aircraft cabin. A survey instrument was developed to collect data from 1124 air travelers on Amazon Mechanical Turk (MTurk), and the data was statistically analyzed using structural equation modeling and logistic regression. Results showed that attitude, descriptive norms, risk avoidance, and information seeking significantly influenced the travelers' intention to wear a mask during flight in COVID-19. Group analysis further indicated that the four factors influenced mask-wearing intentions differently on young, middle-aged, and senior travelers. It was also found that demographic and travel characteristics including age, education, income, and travel frequency can be used to predict if the airline passenger was willing to pay a large amount to switch to airlines that adopted different mask policies during COVID-19. The findings of this study fill the research gap of air travelers’ intentions to wear a mask when flying during a global pandemic and provide recommendations for mask-wearing policies to help the air transport industry recover from COVID-19.

Suggested Citation

  • Pan, Jing Yu & Liu, Dahai, 2022. "Mask-wearing intentions on airplanes during COVID-19 – Application of theory of planned behavior model," Transport Policy, Elsevier, vol. 119(C), pages 32-44.
    • Handle: RePEc:eee:trapol:v:119:y:2022:i:c:p:32-44
    DOI: 10.1016/j.tranpol.2022.01.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X22000294
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2022.01.023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sarah Dryhurst & Claudia R. Schneider & John Kerr & Alexandra L. J. Freeman & Gabriel Recchia & Anne Marthe van der Bles & David Spiegelhalter & Sander van der Linden, 2020. "Risk perceptions of COVID-19 around the world," Journal of Risk Research, Taylor & Francis Journals, vol. 23(7-8), pages 994-1006, August.
    2. Buaphiban, Thapanat & Truong, Dothang, 2017. "Evaluation of passengers' buying behaviors toward low cost carriers in Southeast Asia," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 124-133.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Sharma, Subhash & Mukherjee, Soumen & Kumar, Ajith & Dillon, William R., 2005. "A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models," Journal of Business Research, Elsevier, vol. 58(7), pages 935-943, July.
    5. Geert Hofstede, 1994. "Management Scientists Are Human," Management Science, INFORMS, vol. 40(1), pages 4-13, January.
    6. Zhang, Junyi, 2020. "Transport policymaking that accounts for COVID-19 and future public health threats: A PASS approach," Transport Policy, Elsevier, vol. 99(C), pages 405-418.
    7. Hunt, Jennifer & Truong, Dothang, 2019. "Low-fare flights across the Atlantic: Impact of low-cost, long-haul trans-Atlantic flights on passenger choice of Carrier," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 170-184.
    8. Pan, Jing Yu & Truong, Dothang, 2018. "Passengers’ intentions to use low-cost carriers: An extended theory of planned behavior model," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 38-48.
    9. Carvalho, Sergio W. & Block, Lauren G. & Sivaramakrishnan, Subramanian & Manchanda, Rajesh V. & Mitakakis, Chrissy, 2008. "Risk perception and risk avoidance: The role of cultural identity and personal relevance," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 319-326.
    10. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    11. Marsden, Greg & Docherty, Iain, 2021. "Mega-disruptions and policy change: Lessons from the mobility sector in response to the Covid-19 pandemic in the UK," Transport Policy, Elsevier, vol. 110(C), pages 86-97.
    12. Guo, Yuanyuan & Lu, Zhenzhen & Kuang, Haibo & Wang, Chaoyou, 2020. "Information avoidance behavior on social network sites: Information irrelevance, overload, and the moderating role of time pressure," International Journal of Information Management, Elsevier, vol. 52(C).
    13. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
    14. Harvey, Joan & Thorpe, Neil & Caygill, Matthew & Namdeo, Anil, 2014. "Public attitudes to and perceptions of high speed rail in the UK," Transport Policy, Elsevier, vol. 36(C), pages 70-78.
    15. Ana I. Bento & Thuy Nguyen & Coady Wing & Felipe Lozano-Rojas & Yong-Yeol Ahn & Kosali Simon, 2020. "Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(21), pages 11220-11222, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaojie Zhang & Lili Wang, 2022. "Factors Contributing to Citizens’ Participation in COVID-19 Prevention and Control in China: An Integrated Model Based on Theory of Planned Behavior, Norm Activation Model, and Political Opportunity S," IJERPH, MDPI, vol. 19(23), pages 1-18, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kasim, Kabir O. & Winter, Scott R. & Liu, Dahai & Keebler, Joseph R. & Spence, Tyler B., 2021. "Passengers’ perceptions on the use of biometrics at airports: A statistical model of the extended theory of planned behavior," Technology in Society, Elsevier, vol. 67(C).
    2. Jing Yu Pan & Dothang Truong, 2021. "Low cost carriers in China: passenger segmentation, controllability, and airline selection," Transportation, Springer, vol. 48(4), pages 1587-1612, August.
    3. Jing Yu Pan & Dothang Truong, 0. "Low cost carriers in China: passenger segmentation, controllability, and airline selection," Transportation, Springer, vol. 0, pages 1-26.
    4. Jun Hwan Kim & Hyun Cheol Lee, 2019. "Understanding the Repurchase Intention of Premium Economy Passengers Using an Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    5. Truong, Dothang & Pan, Jing Yu & Buaphiban, Thapanat, 2020. "Low cost carriers in Southeast Asia: How does ticket price change the way passengers make their airline selection?," Journal of Air Transport Management, Elsevier, vol. 86(C).
    6. Pan, Jing Yu & Truong, Dothang, 2018. "Passengers’ intentions to use low-cost carriers: An extended theory of planned behavior model," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 38-48.
    7. Irawan, Muhammad Zudhy & Simanjuntak, Nurvita I.M. & Bastarianto, Faza Fawzan & Dwitasari, Reslyana & Herawati,, 2020. "Predicting the impact of Trans Java Toll Roads on demand for intercity air travel in Indonesia," Journal of Air Transport Management, Elsevier, vol. 87(C).
    8. Aliperti, Giuseppe & Cruz, Ana Maria, 2019. "Investigating tourists' risk information processing," Annals of Tourism Research, Elsevier, vol. 79(C).
    9. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    10. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    11. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    12. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    13. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    14. Meng, Bo & Choi, Kyuhwan, 2016. "The role of authenticity in forming slow tourists' intentions: Developing an extended model of goal-directed behavior," Tourism Management, Elsevier, vol. 57(C), pages 397-410.
    15. Mei-Fang Chen & Ching-Ti Pan & Ming-Chuan Pan, 2009. "The Joint Moderating Impact of Moral Intensity and Moral Judgment on Consumer’s Use Intention of Pirated Software," Journal of Business Ethics, Springer, vol. 90(3), pages 361-373, December.
    16. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    17. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    18. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    19. Chen, Chien-fei & Nelson, Hannah & Xu, Xiaojing & Bonilla, Gregory & Jones, Nicholas, 2021. "Beyond technology adoption: Examining home energy management systems, energy burdens and climate change perceptions during COVID-19 pandemic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    20. Wu, Ing-Long & Chen, Kuei-Wan & Chiu, Mai-Lun, 2016. "Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users," International Journal of Information Management, Elsevier, vol. 36(3), pages 284-296.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:119:y:2022:i:c:p:32-44. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.