IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i20p14924-d1260788.html
   My bibliography  Save this article

Determining Factors Influencing Short-Term International Aviation Traffic Demand Using SHAP Analysis: Before COVID-19 and Now

Author

Listed:
  • Ki-Han Song

    (Department of Civil Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea)

  • Solsaem Choi

    (Department of Civil Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea)

  • Sabeur Elkosantini

    (Faculty of Economics and Management, University of Carthage, Campus Universitaire Mrezga, Nabeul 8000, Tunisia)

  • Wonho Suh

    (Department of Smart City Engineering, Hanyang University ERICA Campus, Ansan 15588, Republic of Korea)

Abstract

Due to the COVID-19 outbreak, international aviation travel has declined globally to the level it was 30 years ago. Influencing factors are explored to understand the difference in short-term international aviation travel demand before and after the COVID-19 pandemic. SHapley Additive exPlanations (SHAP), an exploratory data analysis methodology, is applied to identify the factors affecting aviation demand. Daily international aviation passenger volume data (1462 in total) between 2018 and 2021 are analyzed with 10 socioeconomic variables and the number of daily confirmed COVID-19 cases in Korea. It was found that the number of confirmed cases did not have the greatest direct influence on the short-term demand for international demand, but it has a strong correlation with socioeconomic factors. This study’s findings on the factors influencing short-term international air passenger demand from a macro perspective will contribute to demand forecasting after COVID-19. It is expected that this research can be applied to other countries or other pandemic data to investigate the post-pandemic demand changes.

Suggested Citation

  • Ki-Han Song & Solsaem Choi & Sabeur Elkosantini & Wonho Suh, 2023. "Determining Factors Influencing Short-Term International Aviation Traffic Demand Using SHAP Analysis: Before COVID-19 and Now," Sustainability, MDPI, vol. 15(20), pages 1-12, October.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14924-:d:1260788
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/20/14924/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/20/14924/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brons, Martijn & Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2002. "Price elasticities of demand for passenger air travel: a meta-analysis," Journal of Air Transport Management, Elsevier, vol. 8(3), pages 165-175.
    2. Kelley Pace, R. & Barry, Ronald, 1997. "Sparse spatial autoregressions," Statistics & Probability Letters, Elsevier, vol. 33(3), pages 291-297, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrei Afilipoaei & Gustavo Carrero, 2023. "A Mathematical Model of Financial Bubbles: A Behavioral Approach," Mathematics, MDPI, vol. 11(19), pages 1-17, September.
    2. World Bank, 2009. "The Service Revolution in South Asia," World Bank Publications - Reports 19332, The World Bank Group.
    3. Sandy Fréret & Denis Maguain, 2017. "The effects of agglomeration on tax competition: evidence from a two-regime spatial panel model on French data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1100-1140, December.
    4. Alexandre Xavier Ywata Carvalho & Pedro Henrique Melo Albuquerque & Gilberto Rezende de Almeida Junior & Rafael Dantas Guimarães & Camilo Rey Laureto, 2009. "Clusterização Hierárquica Espacial com Atributos Binários," Discussion Papers 1428, Instituto de Pesquisa Econômica Aplicada - IPEA.
    5. Juan Martín & Gustavo Nombela, 2007. "Microeconomic impacts of investments in high speed trains in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(3), pages 715-733, September.
    6. Escobari, Diego, 2014. "Estimating dynamic demand for airlines," Economics Letters, Elsevier, vol. 124(1), pages 26-29.
    7. Lavado, Rouselle F. & Barrios, Erniel B., 2010. "Spatial Stochastic Frontier Models," Discussion Papers DP 2010-08, Philippine Institute for Development Studies.
    8. David Brasington & Don Haurin, 2005. "Capitalization of Parent, School, and Peer Group Components of School Quality into House Price," Departmental Working Papers 2005-04, Department of Economics, Louisiana State University.
    9. Rodrigo V. Ventura & Manoela Cabo & Rafael Caixeta & Elton Fernandes & Vicente Aprigliano Fernandes, 2020. "Air Transportation Income and Price Elasticities in Remote Areas: The Case of the Brazilian Amazon Region," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    10. Bhadra, Dipasis & Kee, Jacqueline, 2008. "Structure and dynamics of the core US air travel markets: A basic empirical analysis of domestic passenger demand," Journal of Air Transport Management, Elsevier, vol. 14(1), pages 27-39.
    11. Tomasz Stanisław Szopiński & Robert Nowacki, 2014. "Plane Ticket Price Dispersion in the Online Selling System in Poland," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(2), June.
    12. Paraschi, Elen Paraskevi & Georgopoulos, Antonios & Papatheodorou, Andreas, 2020. "Abiotic determinants of airport performance: Insights from a global survey," Transport Policy, Elsevier, vol. 85(C), pages 33-53.
    13. Girardet, Daniel & Spinler, Stefan, 2013. "Surcharge management of kerosene and CO2 costs for airlines under the EU's emission trading," Journal of Air Transport Management, Elsevier, vol. 26(C), pages 25-30.
    14. Hongxia Wang & Jinde Wang & Bo Huang, 2012. "Prediction for spatio-temporal models with autoregression in errors," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(1), pages 217-244.
    15. Pels, Eric, 2021. "Optimality of the hub-spoke system: A review of the literature, and directions for future research," Transport Policy, Elsevier, vol. 104(C), pages 1-10.
    16. Luisa Alamá-Sabater & Laura Márquez-Ramos & Celestino Suárez-Burguet & J. Miguel Navarro-Azorín, 2012. "Interregional Trade and Transport Connectivity. An Analysis of Spatial Dependence," Working Papers 2012/20, Economics Department, Universitat Jaume I, Castellón (Spain).
    17. Grigolon, Anna B. & Kemperman, Astrid D.A.M. & Timmermans, Harry J.P., 2012. "The influence of low-fare airlines on vacation choices of students: Results of a stated portfolio choice experiment," Tourism Management, Elsevier, vol. 33(5), pages 1174-1184.
    18. Miller, Benjamin I. & Dewey, James F. & Denslow, David & Miller, Edward B., 2016. "A welfare analysis of subsidies for airports," Journal of Air Transport Management, Elsevier, vol. 50(C), pages 83-90.
    19. Silva, Hugo E. & Verhoef, Erik T. & van den Berg, Vincent A.C., 2014. "Airline route structure competition and network policy," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 320-343.
    20. Anger, Annela & Köhler, Jonathan, 2010. "Including aviation emissions in the EU ETS: Much ado about nothing? A review," Transport Policy, Elsevier, vol. 17(1), pages 38-46, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14924-:d:1260788. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.