Analysis of factors that may be essential in the decision to fly on fully autonomous passenger airliners
| Autor: | Arif S. Malik, Samuel M Vance |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Economics and Econometrics
Engineering education.field_of_study business.industry Aviation Strategy and Management Mechanical Engineering Population Posterior probability Sample (statistics) Computer Science Applications Vignette Life insurance Automotive Engineering Prior probability Statistics Statistical inference business education |
| Zdroj: | Journal of Advanced Transportation. 49:829-854 |
| ISSN: | 0197-6729 |
| Popis: | Summary This research investigates factors that influence opinion in the decision to fly on fully autonomous passenger airliners primarily from the perspective of aviation and technology professionals. Bayesian statistical inference and a two-level fractional factorial survey are used to sample passengers' views on fully autonomous airliners. Eight trust, safety, and cost factors are incorporated into a vignette set in the future. Factors include automation levels, safety records, liability guarantees, airline integrity, and service disruptions. Dependent variables exist in five post-vignette questions and essentially ask “Would you” or “Would you not” be willing to fly on a fully autonomous airliner? Sixteen versions of the vignette, each with unique trust, safety, and cost levels, present varying (unknown) degrees of influence to the survey respondents. For every demographic, the research shows a 99% statistically significant difference between the “prior” and “posterior” sampled population proportions willing to fly. The most significant positive influence involves integrity characteristics of the airline, while the most negative influence relates to life insurance liability guarantees. Research from 2003 suggested that this mode of travel would be acceptable to only 10.5% of respondents. When the 2003 research is used as a Bayesian prior probability, the resulting posterior probability for the demographics sampled can be modeled as a beta distribution, indicating 95% probability that the sampled proportion of the population willing to fly is between 33.2% and 36.4%. After adjusting for age and profession demographics to match the US population, the 95% probability bounds on the proportion willing to fly are 31.35% and 34.15%. Copyright © 2015 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
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