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What factors predict the type of person who is willing to fly in an autonomous commercial airplane?

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  • Rice, Stephen
  • Winter, Scott R.
  • Mehta, Rian
  • Ragbir, Nadine K.

Abstract

There has been much discussion and research lately highlighting autonomous commercial flight, with most of the focus on engineering design and legal issues. Some prior research has shown that many people are generally not willing to fly in fully autonomous aircraft; however, there is a significant proportion of society that is willing to use these types of airplanes. It is critical for the aviation industry to be able to identify these individuals as they will likely be the early adopters. The current study was designed with the purpose of determining what factors predict the type of person who would be willing to fly in fully autonomous commercial airplanes. We provided a hypothetical scenario to 1042 potential passengers from the United States and asked them to rate their willingness to fly in that situation. We also collected demographic data, along with ratings of various scales to determine what predictors were significant in a regression model. In Stage 1, we built the model from a dataset of 522 participants and determined that the significant factors were familiarity with autonomous flight, fun factor, general wariness of new technology, happiness, fear, age, and educational level. This model accounted for 85.9% of the variance in the data. In Stage 2, we tested the model with 520 participants and found excellent model fit. We discuss the practical and theoretical implications of these findings.

Suggested Citation

  • Rice, Stephen & Winter, Scott R. & Mehta, Rian & Ragbir, Nadine K., 2019. "What factors predict the type of person who is willing to fly in an autonomous commercial airplane?," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 131-138.
    • Handle: RePEc:eee:jaitra:v:75:y:2019:i:c:p:131-138
    DOI: 10.1016/j.jairtraman.2018.12.008
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    1. Tibor Scitovszky, 1944. "Some Consequences of the Habit of Judging Quality by Price," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 12(2), pages 100-105.
    2. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
    3. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    5. Wright, William F. & Bower, Gordon H., 1992. "Mood effects on subjective probability assessment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 52(2), pages 276-291, July.
    6. Mittal, Vikas & Ross, William T., 1998. "The Impact of Positive and Negative Affect and Issue Framing on Issue Interpretation and Risk Taking," Organizational Behavior and Human Decision Processes, Elsevier, vol. 76(3), pages 298-324, December.
    7. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    8. Winter, Scott R. & Rice, Stephen & Mehta, Rian & Cremer, Ismael & Reid, Katie M. & Rosser, Timothy G. & Moore, Julie C., 2015. "Indian and American consumer perceptions of cockpit configuration policy," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 226-231.
    9. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    10. James Flynn & Paul Slovic & C. K. Mertz, 1994. "Gender, Race, and Perception of Environmental Health Risks," Risk Analysis, John Wiley & Sons, vol. 14(6), pages 1101-1108, December.
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    Cited by:

    1. Combs, Elizabeth K. & Crouse, Sean R. & Bell, Katherine D. & Truong, Dothang, 2024. "Willingness to Fly during the COVID-19 pandemic," Journal of Air Transport Management, Elsevier, vol. 117(C).
    2. Valor, Carmen & Antonetti, Paolo & Crisafulli, Benedetta, 2022. "Emotions and consumers’ adoption of innovations: An integrative review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    3. Ragbir, Nadine K. & Rice, Stephen & Winter, Scott R. & Choy, Elaine C., 2021. "Emotions and caring mediate the relationship between knowledge of sustainability and willingness to pay for greener aviation," Technology in Society, Elsevier, vol. 64(C).
    4. Ariza-Montes, Antonio & Quan, Wei & Radic, Aleksandar & Koo, Bonhak & Kim, Jinkyung Jenny & Chua, Bee-Lia & Han, Heesup, 2023. "Understanding the behavioral intention to use urban air autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    5. Laura DIACONU (MAXIM), 2021. "The behaviour of airlines’ passengers in the context of COVID-19 pandemic," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13(2), pages 230-242, July.
    6. Ward, Kenneth A. & Winter, Scott R. & Cross, David S. & Robbins, John M. & Mehta, Rian & Doherty, Shawn & Rice, Stephen, 2021. "Safety systems, culture, and willingness to fly in autonomous air taxis: A multi-study and mediation analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).
    7. Kishore Bhoopalam, A. & van den Berg, R. & Agatz, N.A.H. & Chorus, C.G., 2021. "The long road to automated trucking: Insights from driver focus groups," ERIM Report Series Research in Management ERS-2021-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Rice, Connor & Ragbir, Nadine K. & Rice, Stephen & Barcia, Gina, 2020. "Willingness to pay for sustainable aviation depends on ticket price, greenhouse gas reductions and gender," Technology in Society, Elsevier, vol. 60(C).
    9. Lamb, Tracy L. & Winter, Scott R. & Rice, Stephen & Ruskin, Keith J. & Vaughn, Austin, 2020. "Factors that predict passengers willingness to fly during and after the COVID-19 pandemic," Journal of Air Transport Management, Elsevier, vol. 89(C).

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