A prediction model of Consumer's willingness to fly in autonomous air taxis |
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| Institution: | 1. Department of Civil, Structural, and Environmental Engineering, Engineering Statistics and Econometrics Application Research Laboratory, University at Buffalo, The State University of New York, United States;2. Transport Research Institute, School of Engineering and the Built Environment, Edinburgh Napier University, 10 Colinton Road, Edinburgh EH10 5DT, UK;3. Stephen E. Still Chair of Transportation Engineering, Department of Civil, Structural and Environmental Engineering, Stephen Still Institute for Sustainable Transportation and Logistics, University at Buffalo, The State University of New York, United States;4. Department of Civil, Structural and Environmental Engineering, University at Buffalo, The State University of New York, Ketter Hall, Buffalo, NY 14260, United States;1. National Key Laboratory of CNS/ATM, School of Electronic and Information Engineering, Beihang University, 100191 Beijing, China;2. National Engineering Laboratory of Multi-Modal Transportation Big Data, 100191 Beijing, China;3. Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Beihang University, 100083 Beijing, China;4. Institut für Luft- und Raumfahrtsysteme, RWTH Aachen, 52062 Aachen, Germany |
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| 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. |
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| Keywords: | Autonomous air taxi Urban air mobility Statistical model Prediction Consumer perceptions Willingness to fly |
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