Networks and Spatial Economics

, Volume 8, Issue 2–3, pp 141–160 | Cite as

Analyzing Mobility in Peripheral Regions of the European Union: The Case of Canarias-Madeira-Azores

  • Concepción Román
  • Raquel Espino
  • Juan Carlos Martín
  • Ofelia Betancor
  • Gustavo Nombela


We analyze the principal factors that determine mobility in a context of airline choice in the main domestic routes connecting the archipelagos of Azores, Madeira and the Canary Islands with the mainland and among them. With that purpose we conducted several stated preference (SP) experiments facing individuals with the choice between two virtual airlines which differed in terms of a group of service attributes that include price, frequency, comfort and compensation for delay among others. We found different multinomial logit specifications that allowed us to estimate the relative importance of each attribute in the decision-making process. We conclude that the price, the flight frequency, the quality (or availability) of food, the penalty imposed for making changes in the ticket, receiving some compensation in case of delay as well as having more leg room in the plane seat are among the most important factors that represent the global service. We also obtained the willingness to pay for improvements in the level of service. We found very interesting the dual interpretation of the vehicle considered to compensate travelers in case of delay. Finally, our results shed evidence of the existence of systematic taste variation explained in terms of some socioeconomic characteristics interacting with service attributes.


Mobility Stated preference (SP) Willingness to pay Service quality 


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  1. Bliemer MCJ, Rose JM (2006) Designing stated choice experiments: state-of-the-art. Paper presented at the 11th International Conference on Travel Behaviour Research, Kyoto, JapanGoogle Scholar
  2. Ortúzar J de D, Willumsen LG (2001) Modelling transport, 3rd edn. Wiley, ChichesterGoogle Scholar
  3. Domencich T, McFadden D (1975) Urban travel demand: a behavioural analysis. North Holland, AmsterdamGoogle Scholar
  4. Espino R, Román C, Ortúzar J de D (2006) Analysing demand for suburban trips: a mixed RP/SP model with latent variables and interaction effects. Transportation 33:241–261CrossRefGoogle Scholar
  5. Eurisles (1996) Systems of transport in the islands. Lá Harmattan, ParísGoogle Scholar
  6. Evangelho F, Huse C, Linhares A (2005) Market entry of a low cost airline and impacts on the Brazilian business travellers. J Air Transp Manag 11:99–105CrossRefGoogle Scholar
  7. Fundación T (2001) Los costes de ultraperiferia de la economía canaria, Consejería de Economía. Hacienda y Comercio, Santa Cruz de TenerifeGoogle Scholar
  8. Garin T (2006) Inbound international tourism to Canary Islands: a dynamic panel data model. Tour Manage 27(2):281–291CrossRefGoogle Scholar
  9. Guillaumin MP (2001) La dimension ultraperipherique de lá Union Europeenne. Available from <>
  10. Hensher DA, Rose J, Greene WH (2005) Applied choice analysis: a primer. Cambridge Univ. Press, CambridgeGoogle Scholar
  11. Jara-Díaz SR (1998) Time and income in travel choice: towards a microeconomic activity-based theoretical framework. In: Garling T, Laitila T, Westin K (eds) Theoretical foundations of travel choice modeling. Elsevier, Nueva YorkGoogle Scholar
  12. Lee D, Luengo-Prado MJ (2004) Are passengers willing to pay more for additional legroom? J Air Transp Manag 10(6):377–383CrossRefGoogle Scholar
  13. Mason KJ (2000) The propensity of business travellers to use low cost airlines. J Transp Geogr 8:107–113CrossRefGoogle Scholar
  14. Mason KJ (2001) Marketing low-cost airline services to business travellers. J Air Transp Manag 7:103–109CrossRefGoogle Scholar
  15. Louviere JJ, Hensher DA, Swait JD (2000) Stated choice methods: analysis and applications. Cambridge Uni. Press, CambridgeGoogle Scholar
  16. McFadden D (1974) The measurement of urban travel demand. J Public Econ 3:303–328CrossRefGoogle Scholar
  17. McFadden D (1981) Econometric models of probabilistic choice. In: Manski C, McFadden D (eds) Structural analysis of discrete choice data with econometric applications. MIT Press, Cambridge, MAGoogle Scholar
  18. Murillo Fort C (1992) Coste de la insularidad en Canarias. Consejería de Economía y Hacienda del Gobierno de Canarias, Las Palmas de Gran CanariaGoogle Scholar
  19. Olsen GD, Swait JD (1998) Nothing is important. Working Paper, Faculty of Management, University of CalgaryGoogle Scholar
  20. Park J, Robertson R, Wu C (2004) The effect of airline service quality on passengers’ behavioural intentions: a Korean case study. J Air Transp Manag 10:435–439CrossRefGoogle Scholar
  21. Proussaloglou K, Koppelman F (1995) Air carrier demand: an analysis of market share determinants. Transportation 22:371–388CrossRefGoogle Scholar
  22. Rizzi LI, Ortúzar J de D (2003) Stated preference in the valuation of interurban road safety. Accident Anal Prev 35:9–22CrossRefGoogle Scholar
  23. Rose JM, Hensher DA (2004) Handling individual specific availability of alternatives in stated choice experiments. Paper presented at the 7th International Conference on Travel Survey Methods, Los Suenos, Costa RicaGoogle Scholar
  24. Toubia R, Hauser JR, Simester DI (2004) Polyhedral methods for adaptive choice based conjoint analysis. J Mark Res 41:116–131CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Concepción Román
    • 1
  • Raquel Espino
    • 1
  • Juan Carlos Martín
    • 1
  • Ofelia Betancor
    • 1
  • Gustavo Nombela
    • 1
  1. 1.Departamento de Análisis Económico AplicadoUniversidad de Las Palmas de Gran CanariaLas PalmasSpain

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