How Weather, Distance, Flight Time, and Geography Affect Consumer Willingness to Fly in Autonomous Air Taxis
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Abstract
Abstract
Background: Many studies have investigated passengers’ willingness to fly (WTF) or ride in autonomous aircrafts and vehicles. With the emergence of urban air mobility, it is important to consider consumer perceptions of autonomous air taxis and passengers’ willingness to fly in various conditions. Therefore, the purpose of this study was to determine what external factors may influence consumers’ willingness to fly on autonomous air taxis in various weather, time conditions, and geographical locations. Methods: Across two studies, 782 participants were presented with a definition of autonomous air taxis, and then, a hypothetical scenario involving an air taxi that included four variables: rain versus no rain (Weather), 5-minute flight versus 30-minute flight (Time), over land or water (Terrain), and over urban or rural terrain (Population Density). Results: The data from the study suggest that both American and Indian passengers were more willing to fly in good weather conditions versus rainy weather, over land versus over water, and on short flights versus longer flights. Conclusions: As urban air mobility becomes more well-known, it is important to understand consumer opinions and educate them on emerging technology. This in turn can aid industries in developing marketing strategies to help increase awareness of new technologies in the future.
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References
Anania, E. C., Rice, S., Walters, N. W., Pierce, M., Winter, S. R., & Milner, M. N. (2018). The effects of positive and negative information on consumers’ willingness to ride in a driverless vehicle. Transport Policy, 72, (218-224).
Asgari, H., & Jin, X. (2019). Incorporating attitudinal factors to examine adoption of and willingness to pay for autonomous vehicles. Transportation Research Record, 2673(8), 418-429.
Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality data? Perspectives on Psychological Science, 6(3), 3-5.
Bureau of Transportation Statistics. (2019). 2018 traffic data for U.S. airlines and foreign airlines U.S. Flights: Passengers on U.S. and foreign airlines. Retrieved from https://www.bts.dot.gov/newsroom/2018-traffic-data-us-airlines-and-foreign-airlines-us-flights
Carrerio, H., (n.d.). About Airlines in India. Retrieved from: http://traveltips.usatoday. com/airlines-india-17997.html.
Chen, C., Zhao, X., Liu, H., Ren, G., & Liu, X. (2019). Influence of adverse weather on drivers’ perceived risk during car following based on driving simulations. Journal of Modern Transportation, 27(4), 282-292. doi:10.1007/s40534-019-00197-4
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 903-1028.
Germine, L., Nakayama, K., Duchaine, B.C., Chabris, C.F., Chatterjee, G., & Wilmer, J.B. (2012). Is the web as good as the lab? Comparable performance from web and lab in cognitive/perceptual experiments. Psychonomic Bulletin & Review, 19(5), 847-857.
Haddad, C. A., Chaniotakis, E., Straubinger, A., Plötner, K., & Antoniou, C. (2020). Factors affecting the adoption and use of urban air mobility. Transportation Research, 132, 696-712.
Helmreich, R. L. (2000). Culture and error in space: Implications from analog environments. Aviation, Space, and Environmental Medicine, 71(9-11), 133-139.
Hofstede, G. (1980). Motivation, leadership, and organization: Do American theories apply abroad? Organizational Dynamics, 9(1), 42-63.
Hofstede, G. (1984). Culture’s consequences. Newbury Park, CA: SAGE.
Hughes, J. S., Rice, S., Trafimow, D., & Clayton, K. (2009). The automated cockpit: A comparison of attitudes towards human and automated pilots. Transportation Research, 12, 428-439.
Markus, H. R., & Kitayama, S. (1991). Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review, 98, 224–253.
Mehta, R., Rice, S., & Winter, S. R. (2014). Examining the relationship between familiarity and reliability of automation in the cockpit. Collegiate Aviation Review, 32(2). Retrieved from https://commons.erau.edu/publication/1070
Mehta, R., Rice, S., Winter, S. R., & Eudy, M. (2017). Perceptions of cockpit configurations: A culture and gender analysis. The International Journal of Aerospace Psychology, 27(1-2), 57-63.
Ragbir, N. K., Baugh, B. S., Rice, S., & Winter, S. R. (2018). How nationality, weather, wind, and distance affect consumer willingness to fly in autonomous airplanes. Journal of Aviation Technology and Engineering, 8(1), 2-10.
Rice, S., Kraemer, K., Winter, S. R., Mehta, R., & Dunbar, V. (2014). Passengers from India and the United States have differential opinions about autonomous auto-pilots for commercial flights. International Journal of Aviation, Aeronautics, and Aerospace, 1(1), 1-13.
Rice, S., & Winter, S. R. (2015). Which passenger emotions mediate the relationship between type of pilot configuration and willingness to fly in commercial aviation? Aviation Psychology and Applied Human Factors, 5(2), 83-92.
Rice, S., Winter, S. R., Deaton, J. E., & Cremer, I. (2016). What are predictors of system-wide trust loss in transportation automation? Journal of Aviation Technology and Engineering, 6(1), 1-8.
Rice, S., Winter, S. R., Doherty, S., & Milner, M. N. (2017). Advantages and disadvantages of using internet-based survey methods in aviation-related research. Journal of Aviation Technology and Engineering, 7(1), 58-65. DOI: https://doi.org/10.15394/ijaaa.2014.1004
Rice, S., & Winter, S. R. (2019). Do gender and age affect willingness to ride in driverless vehicles: If so, then why? Technology in Society, 58, 101145. doi:10.1016/j.techsoc.2019.101145
Rice, S., Winter, S. R., Mehta, R., & Ragbir, N. K. (2019). What factors predict the type of person who is willing to fly in an autonomous commercial airplane? Journal of Air Transport Management, 75, 131-138.
Risen, T. (2018). Mainstreaming urban air mobility. Aerospace America, 56(2), 12.
Thipphavong, D. P., Apaza, R., Barmore, B., Battiste, V., Burian, B., Dao, Q., … Verma, S. A. (2018). Urban air mobility airspace integration concepts and considerations. Aviation Technology, Integration, and Operations, 10. doi:10.2514/6.2018-3676
Triandis, H. C. (2002). Individualism-collectivism and personality. Journal of Personality, 69(6), 907-924.
Vance, S. M., & Malik, A. S. (2015). Analysis of factors that may be essential in the decision to fly on fully autonomous passenger airliners. Journal of Advanced Transportation, 49(7), 829-854. doi:10.1002/atr.1308
Winter, S. R., Keebler, J. R., Rice, S., Mehta, R., & Baugh, B. S. (2018). Patient perceptions on the use of driverless ambulances: An affective perspective. Transportation Research, 58, 431-441.
Winter, S. R., Rice, S., Mehta, R., Cremer, I., Reid, K. M., Rosser, T. G., & Moore, J. C. (2015). Indian and American consumer perceptions of cockpit configuration policy. Journal of Air Transport Management, 42, 226-231.
Wu, C., & Jang, L. (2008). The moderating role of referent of focus on purchase intent for consumers with varying levels of allocentric tendency in a collectivist culture. Journal of International Consumer Marketing, 20(3–4), 5–22. doi:10.1080/08961530802129128