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A prediction model of Consumer's willingness to fly in autonomous air taxis

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  • Winter, Scott R.
  • Rice, Stephen
  • Lamb, Tracy L.

Abstract

As companies begin to consider new alternatives to urban transportation and urban air mobility, one method under investigation is autonomous air taxis. Literature indicates that people, in general, have positive attitudes towards innovation and new technology. However, complex factors determine their willingness and speed in acceptance. The objective of this study was to examine which factors significantly forecast consumer willingness to fly in autonomous air taxis. A quantitative methodology and non-experimental design were accomplished using 510 participants to develop the regression equation and assess model fit. Six significant predictors of consumer willingness to fly in autonomous air taxis were found: familiarity, value, fun factor, wariness of new technology, fear and happiness. Three additional analyses were assessed using an independent sample of participants, revealing strong model fit. Few previous studies have provided a quantitative assessment of which factors significantly predict consumer willingness to fly in autonomous air taxis. The study contributes to the body of knowledge by identifying six significant factors which account for over 76% of the variance. These findings may help the industry, manufacturers and regulators identify the types of individuals most willing to try this new form of transportation and provide more information on the type of consumer most likely to buy in to this new form of transportation.

Suggested Citation

  • Winter, Scott R. & Rice, Stephen & Lamb, Tracy L., 2020. "A prediction model of Consumer's willingness to fly in autonomous air taxis," Journal of Air Transport Management, Elsevier, vol. 89(C).
    • Handle: RePEc:eee:jaitra:v:89:y:2020:i:c:s0969699720305093
    DOI: 10.1016/j.jairtraman.2020.101926
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    References listed on IDEAS

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    Cited by:

    1. Rath, Srushti & Chow, Joseph Y.J., 2022. "Air taxi skyport location problem with single-allocation choice-constrained elastic demand for airport access," Journal of Air Transport Management, Elsevier, vol. 105(C).
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    3. 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).
    4. Pons-Prats, Jordi & Živojinović, Tanja & Kuljanin, Jovana, 2022. "On the understanding of the current status of urban air mobility development and its future prospects: Commuting in a flying vehicle as a new paradigm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    5. Long, Qi & Ma, Jun & Jiang, Feifeng & Webster, Christopher John, 2023. "Demand analysis in urban air mobility: A literature review," Journal of Air Transport Management, Elsevier, vol. 112(C).
    6. Rajendran, Suchithra & Srinivas, Sharan & Grimshaw, Trenton, 2021. "Predicting demand for air taxi urban aviation services using machine learning algorithms," Journal of Air Transport Management, Elsevier, vol. 92(C).
    7. Rimjha, Mihir & Hotle, Susan & Trani, Antonio & Hinze, Nicolas, 2021. "Commuter demand estimation and feasibility assessment for Urban Air Mobility in Northern California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 506-524.
    8. 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).
    9. Hwang, Ji-Hyon & Hong, Sungjo, 2023. "A study on the factors influencing the adoption of urban air mobility and the future demand: Using the stated preference survey for three UAM operational scenarios in South Korea," Journal of Air Transport Management, Elsevier, vol. 112(C).
    10. Annitsa Koumoutsidi & Ioanna Pagoni & Amalia Polydoropoulou, 2022. "A New Mobility Era: Stakeholders’ Insights regarding Urban Air Mobility," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    11. Merkert, Rico & Beck, Matthew J. & Bushell, James, 2021. "Will It Fly? Adoption of the road pricing framework to manage drone use of airspace," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 156-170.
    12. Leon Booth & Victoria Farrar & Jason Thompson & Rajith Vidanaarachchi & Branislava Godic & Julie Brown & Charles Karl & Simone Pettigrew, 2023. "Anticipated Transport Choices in a World Featuring Autonomous Transport Options," Sustainability, MDPI, vol. 15(14), pages 1-10, July.
    13. Kalakou, Sofia & Marques, Catarina & Prazeres, Duarte & Agouridas, Vassilis, 2023. "Citizens' attitudes towards technological innovations: The case of urban air mobility," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    14. Karimi, Sina & Karami, Hossein & Samadzad, Mahdi, 2024. "The role of travel satisfaction and attitudes toward travel modes in the prospect of adoption of urban air taxis: Evidence from a stated preference survey in Tehran," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).

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