dc.contributor.author | Pérezgonzález, Jose D. | |
dc.contributor.author | Gilbey, Andrew | |
dc.date.accessioned | 2012-08-22T23:37:55Z | |
dc.date.available | 2012-08-22T23:37:55Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Pérezgonzález, Jose D & Andrew Gilbey (2011). A convenient regression formula for predicting Skytrax’s Official World Airport Star ratings. Aviation Education and Research Proceedings, vol 2011, pp 45-47. | en |
dc.identifier.issn | 1176-0729 | |
dc.identifier.uri | http://hdl.handle.net/10179/3715 | |
dc.description.abstract | Skytrax audits and ranks airports internationally in its yearly
‘Official World Airport Star Ranking’. Unfortunately, its activity is severely
restricted, at most covering just 3% of those airports listed by Skytrax as
open to review by passengers in its website in 2010. This research article
explored the possibility of using a readily available variable as predictor, as
an alternative way of ranking the remaining 97% of airports in a simpler
and more straightforward manner. The regression formula retained
correlated highly with the criterion variable, accounting for 45% of its
variance, thus supporting the viability of using customer reviews as a
possible way of predicting ranking scores for airport not officially audited
by Skytrax. | en |
dc.language.iso | en | en |
dc.subject | Skytrax | en |
dc.subject | Airport rankings | en |
dc.subject | Ranking prediction | en |
dc.subject | Customer reviews | en |
dc.title | A convenient regression formula for predicting Skytrax’s Official World Airport Star ratings | en |
dc.type | Article | en |