A convenient regression formula for predicting Skytrax’s Official World Airport Star ratings

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dc.contributor.authorPérezgonzález, Jose D.
dc.contributor.authorGilbey, Andrew
dc.date.accessioned2012-08-22T23:37:55Z
dc.date.available2012-08-22T23:37:55Z
dc.date.issued2011
dc.description.abstractSkytrax 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.identifier.citationPérezgonzález, 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.issn1176-0729
dc.identifier.urihttp://hdl.handle.net/10179/3715
dc.language.isoenen
dc.subjectSkytraxen
dc.subjectAirport rankingsen
dc.subjectRanking predictionen
dc.subjectCustomer reviewsen
dc.titleA convenient regression formula for predicting Skytrax’s Official World Airport Star ratingsen
dc.typeArticleen
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