Portal de Conferências da UFSC, XX Sitraer

Tamanho da fonte: 
A NDEA MODEL TO EVALUATE AIRPORT EFFICIENCY TO GENERATE NON-AVIATION REVENUES: A CASE STUDY OF GUARULHOS INTERNATIONAL AIRPORT
Marcus Vinicius do Nascimento, Giovanna Miceli Ronzani Borille

Última alteração: 2023-09-13

Resumo


This paper aims to evaluate the airport performance in generating financial gains provided by non-aviation revenues. Financial results have been highlighted in the structuring of an airport as a business, considering that the airport administrator is looking for alternatives to maximize its revenues and to improve the commercial function of the airport. Also, this theme is aligned to the fact that non-aviation revenues have a prominent place in the financial health of modern airports. The identified technical-scientific challenge is to estimate the airport efficiency using a 2-Step Network Data Envelopment Analysis model. As a result, the airport manager has a better understanding of the airport performance which allows faster and more consistent decisions. An example of these decisions is the readjustment of the layout of a terminal to promote consumption since the literature indicates a strong relationship between passenger experience at the terminal and the willingness-to-spend. To test the proposed method in this paper the model was be applied considering the Guarulhos International Airport. The model results indicated that maximum efficiency was achieved during periods when the airport had a higher proportion of international passenger movements. As an example, we can mention the quarters when Brazil hosted the FIFA World Cup in 2014.


Referências


Castillo-Manzano, J. I.; Valpuesta, L. L.; Braza, A. S. (2018). When the mall is in the airport: Measuring the effect of the airport mall on passengers’ consumer behavior. Journal of Air Transport Management 72, p.32–38.

CRAN. (2023). DJL: Distance Measure Based Judgement and Learning. https://cran.r-project.org/web/packages/DJL/index.html

Fasone, V.; Kofler, L., & Scuderi, R. (2016). Business performance of airports: non-aviation revenues and their determinants. Journal of Air Transport Management, 53, 35-45.

Fuerst, F., Gross, S. (2018). The commercial performance of global airports. Transport Policy, v.61, 123–131.

Graham, A. (2009). Managing Airports e An International Perspective, third ed. Oxford, Burlington.

IATA (2019). Airport Development Reference Manual (ADRM). Available at: https://www.iata.org/contentassets/78c9e92aacdf416db90326c7a77ea7ad/adrm11-toc-en-20190215.pdf.

lo Storto, C. (2018). The analysis of the cost-revenue production cycle efficiency of the Italian airports: A NSBM DEA approach. Journal of Air Transport Management72, 77-85.

Nascimento, M. V.; Borille, G. M. R.; Bandeira, M. C. G. S. P.; Da Silva, L. M. (2022). An evaluation of non-aviation revenues based on passenger satisfaction and quantity of commercial establishments at terminals: A case study of a Brazilian airport. Case Studies On Transport Policy, v. 10, p. 1457-1461.

Statista. (2020). Leading airports in Latin America in 2020, by number of passengers handled. Available on: https://www.statista.com/statistics/884733/south-america-air-passenger-traffic-busy-airport/

Torres, E., Domínguez, J. S., Valdés, L., Aza, R. (2005). Passenger waiting time in an airport and expenditure carried out in the commercial area. Journal of Air Transport Management, 11, 363–367.

Wu, C.L., & Chen, Y. (2019). Effects of passenger characteristics and terminal layout on airport retail revenue: an agent-based simulation approach. Transportation Planning and Technology, 1–20.

Yokomi, M., Wheat, P., Mizutani, J. (2017). Journal of Air Transport Management, v.64, 77–85.

Zenglein, M. J., Müller, J. (2007). Non-aviation revenue in the airport business-Evaluating performance measurement for a changing value proposition. German Airport Performance Projekt. Berlin: Berlin School of Economics.


Um cadastro no sistema é obrigatório para visualizar os documentos. Clique aqui para criar um cadastro.