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

Ki-Han Song, Solsaem Choi, Sabeur Elkosantini and Wonho Suh ()
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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

Sustainability, 2023, vol. 15, issue 20, 1-12

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.

Keywords: aviation traffic demand; influencing factors on demand; SHAP analysis; Shapley value; big data analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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