20111028 - Prediction of Skytrax airline rankings, short formula - 2010

# Prediction of airline rankings

Perezgonzalez & Gilbey (20101) obtained a regression formula for predicting Skytrax's 2010 airline rankings from customer reviews. The research behind the study attempted to predict Skytrax's Official World Airline Star rankings from average ratings that passengers had given to those airlines, independently, on Skytrax's website. The regression formula was based on a single variable (the average 'Customer review scoring').

The short regression formula for predicting Skytrax's 2010 ranking was:

Predicted Skytrax Ranking = 1.675 + (0.291 * Customer review scoring)
(F = 87.302, p < 0.01; R = 0.688; R2 = 0.473; Adj.R = 0.684; Adj.R2 = 0.468)

Table 1 shows the actual ranking given by Skytrax, the predicted 'ranking' obtained from above formula, as well as the customer average rating used as predictor. Overall, 69% of the research airlines could be ranked in approximately the same hierarchy than the one provided by Skytrax. Furthermore, it may be possible to also rank correctly 68% of the remaining airlines not ranked by Skytrax (adj.R).

Although an accuracy of 68%-69% is probably too low for dependable predictions (after all, the ranking of 1/3 of the airlines will not be predicted well), these results suggest the possibility of using customer reviews as proxies for estimating the quality of those airlines not "officially" ranked by Skytrax.

Table 1. Actual and predicted scores
Airline Skytrax Prediction Customer
Asiana Airlines 5.00 4.29 9.00
Qatar Airways 5.00 4.24 8.80
Hainan Airlines 4.00 4.18 8.60
Aegean Airlines 3.00 4.15 8.50
Bangkok Airways 4.00 4.15 8.50
Qantas Airways 4.00 4.12 8.40
Kingfisher Airlines 5.00 4.12 8.40
Southwest Airlines 3.00 4.06 8.20
Singapore Airlines 5.00 4.06 8.20
Garuda Indonesia 4.00 4.03 8.10
Porter Airlines 4.00 4.00 8.00
Silk Air 4.00 4.00 8.00
Air New Zealand 4.00 3.92 7.70
CityJet 3.00 3.89 7.60
ANA 4.00 3.89 7.60
Virgin Blue 4.00 3.89 7.60
TACA International 3.00 3.86 7.50
JetBlue Airways 4.00 3.86 7.50
Thai Airways 4.00 3.80 7.30
Dragonair 4.00 3.77 7.20
Malaysia Airlines 5.00 3.77 7.20
Air Berlin 4.00 3.71 7.00
Aer Lingus 3.00 3.68 6.90
Oman Air 3.00 3.68 6.90
British Airways 4.00 3.68 6.90
China Airlines 4.00 3.68 6.90
EVA Air 4.00 3.65 6.80
Cathay Pacific 5.00 3.65 6.80
LAN Airlines 3.00 3.62 6.70
Austrian Airlines 4.00 3.62 6.70
Lufthansa 4.00 3.60 6.60
Avianca 3.00 3.57 6.50
Thomson Airways 3.00 3.57 6.50
Air France 4.00 3.57 6.50
Japan Airlines 4.00 3.57 6.50
South African Airways 4.00 3.57 6.50
Swiss Int'l Air Lines 4.00 3.57 6.50
Philipines Airlines 3.00 3.54 6.40
bmi British Midland 3.00 3.51 6.30
Turkish Airlines 4.00 3.48 6.20
Royal Brunei Airlines 3.00 3.45 6.10
Korean Air 4.00 3.45 6.10
Air Asia 3.00 3.42 6.00
Air Asia X 3.00 3.42 6.00
Malev Hungarian Airlines 3.00 3.42 6.00
Frontier Airlines 3.00 3.39 5.90
Onur Air 2.00 3.36 5.80
Finnair 4.00 3.33 5.70
Brussels Airlines 3.00 3.28 5.50
Icelandair 3.00 3.28 5.50
LOT Polish Airlines 3.00 3.28 5.50
Vietnam Airlines 3.00 3.28 5.50
KLM 3.00 3.25 5.40
Jet Airways 3.00 3.19 5.20
Royal Jordanian Airlines 3.00 3.19 5.20
SriLankan Airlines 3.00 3.19 5.20
Continental Airlines 3.00 3.16 5.10
CSA Czech Airlines 3.00 3.16 5.10
SAS Scandinavian Airlines 3.00 3.16 5.10
Virgin Atlantic 4.00 3.16 5.10
TAP Air Portugal 3.00 3.13 5.00
Aeroflot 3.00 3.10 4.90
Pegasus Airlines 2.00 3.07 4.80
El Al Israel Airlines 3.00 3.04 4.70
Emirates Airlines 4.00 3.04 4.70
Air India 3.00 3.01 4.60
China Southern Airlines 3.00 3.01 4.60
Meridiana 3.00 3.01 4.60
United Airlines 3.00 3.01 4.60
Air China 3.00 2.98 4.50
Air Mauritius 3.00 2.98 4.50
Spanair 3.00 2.98 4.50
TAM Airlines 3.00 2.98 4.50
Egyptair 3.00 2.96 4.40
Delta Airlines 3.00 2.87 4.10
Tiger Airways 3.00 2.87 4.10
Ethiopian Airlines 3.00 2.84 4.00
Gulf Air 3.00 2.84 4.00
Iberia 3.00 2.84 4.00
Kuwait Airways 3.00 2.84 4.00
Alitalia 3.00 2.81 3.90
flyBe 3.00 2.81 3.90
Saudi Arabian Airlines 3.00 2.81 3.90
Spirit Airlines 3.00 2.81 3.90
American Airlines 3.00 2.78 3.80
China Eastern Airlines 3.00 2.78 3.80
Kenya Airways 3.00 2.78 3.80
Aerolineas Argentinas 3.00 2.75 3.70
Cubana Airlines 2.00 2.72 3.60
Air Europa 3.00 2.72 3.60
Aerosvit Airlines 2.00 2.69 3.50
US Airways 3.00 2.66 3.40
Air Seychelles 3.00 2.61 3.20
EasyJet 3.00 2.58 3.10
Ryanair 2.00 2.26 2.00
Royal Air Maroc 2.00 2.23 1.90
Air Baltic 3.00 n/a -
Air Malta 3.00 n/a -
Air Pacific 3.00 n/a -
Air Transat 3.00 n/a -
AirTran Airways 3.00 n/a -
Allegiant Air 3.00 n/a -
Copa Airlines 3.00 n/a -
Germanwings 3.00 n/a -
Hawaiian Airlines 3.00 n/a -
Mexicana Airlines 3.00 n/a -
Norwegian 3.00 n/a -
Vueling Airlines 3.00 n/a -
WestJet 3.00 n/a -
bmibaby 2.00 n/a -
Transaero Airlines 2.00 n/a -
Uzbekistan Airways 2.00 n/a -
(n/a values occurred for airlines which had customer reviews during 2010 but not an overall "Customer review scoring")

# Methods

### Research approach

Exploratory study seeking to predict Skytrax's 2010 airline ranking, from independent customer reviews. This particular article deals with a 'short' regression formula which uses a readily available average (thus, not needing further data computation) as single predictor.

### Population

The 115 airlines which obtained a Skytrax ranking in 2010 and had received a minimum of 10 customer reviews during the year.

### Variables

Criterion (dependent) variable: Skytrax's Official World Airline Star ranking.

• 'Official' rankings are given by Skytrax after auditing airlines that pertain to the Star ranking program. Because of the need for airlines to join the program, the auditing involved, and other variables, Skytrax rankings are applied to a rather limited number of, possibly, self-selected airlines (ie, those that can afford the costs, value Skytrax's ranking system, and expect a good ranking).
• This variable is measured on an ordinal scale ranging from 1 star (very poor quality performance) to 5 stars (highest quality standards).

Predictor (independent) variable: average 'Customer review scoring’.

• The average customer review scoring is calculated by Skytrax, possibly based on averaging customer ratings given by passengers when independently reviewing those airlines on Skytrax's website on an ad-hoc basis. This variable may, in principle, be of low reliability as a source of information, as passengers are self-selected (ie, reviews are given by those passengers who know about the website and are motivated to provide a review), it is not known whether Skytrax 'filters' reviews, and the average rating seems to cover all reviews, not just those of discrete years. Notwithstanding this, Skytrax assures on its website that customer reviews are not used for and are independent of 'star rankings'. In any case, the variable did not show any non-normal tendency towards negative or positive values, extreme responses or other statistical biases.
• This variable is measured on an interval scale ranging from 0 to 10 points, a higher value representing a greater level of customer overall satisfaction with the airline over the years (thus, not limited to 2010).

### Procedure

The corresponding data was mined from information readily available online on Skytrax's website at the end of 2010.

### Data analysis

The data matrix was assessed as per normality and linearity. Results were adequate for continuing with parametric data analyses.

The main analysis carried out was a regression analysis.

### Generalization potential

Airlines with independent customer reviews on Skytrax's website but not "officially" ranked by it. It is estimated that 68% of those airlines (adj.R) could be ranked correctly (thus, implying that the remaining 32% of airlines would be erroneously ranked).

References
1. PEREZGONZALEZ Jose D & Andrew GILBEY (2010). Predicting Skytrax's Official Airline Star ratings from customer reviews. Aviation Education and Research Proceedings (ISSN 1176-0729), 2011, pages 48-50.
+++ Notes +++
2. In the second edition the table has been re-edited in order to make it more reader-friendly.

# Want to know more?

Skytrax's website
Skytrax offers the latest rankings for airports and airlines, as well as independent reviews of those by passengers.
Wiki of Science - Prediction of Skytrax airport rankings
This Wiki of Science page offers a similar article on airports. The full reference is, PEREZGONZALEZ Jose D (2010). Prediction of Skytrax airport rankings, short formula. Journal of Knowledge Advancement & Integration (ISSN 1177-4576), 2011, pages 133-135.

## Author

Jose D PEREZGONZALEZ (2011). Massey University, Turitea Campus, Private Bag 11-222, Palmerston North 4442, New Zealand. ().

## Peer-reviewers

Nicholas ASHLEY (2012). School of Aviation, Massey University, New Zealand ().

 Other interesting sites
page revision: 7, last edited: 24 Jul 2012 02:15