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Forecasting air transport demand in Indonesia: A machine learning approach considering socio-economic factors and pandemic impact

Zona Diatri Rossi Passarella Zaqqi Yamani

Aerospace Traffic and Safety2025，Vol.2Issue(3)：P.176-183,8.

Aerospace Traffic and Safety2025，Vol.2Issue(3)：P.176-183,8.DOI:10.1016/j.aets.2025.12.002

Forecasting air transport demand in Indonesia: A machine learning approach considering socio-economic factors and pandemic impact

Zona Diatri ¹Rossi Passarella ¹Zaqqi Yamani²

作者信息

1. Department of Computer Engineering,Faculty of Computer Science,Sriwijaya University,Indonesia
2. Department of Information System,Faculty of Computer Science,Sriwijaya University,Indonesia
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摘要

关键词

Air Transport Demand/Indonesia/Machine Learning/Forecasting/Socio-Economic Factors/Pandemic Impact

分类

信息技术与安全科学

引用本文复制引用

Zona Diatri,Rossi Passarella,Zaqqi Yamani..Forecasting air transport demand in Indonesia: A machine learning approach considering socio-economic factors and pandemic impact[J].Aerospace Traffic and Safety,2025,2(3):P.176-183,8.

Aerospace Traffic and Safety

ISSN：2950-3388

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