What is it about?
The air transport industry shapes the world economy and promotes cultural exchange and international trade. Unfortunately, it was adversely affected by the COVID-19 pandemic during the period 2020-2022. This research used seasonal autoregressive integrated moving average (ARIMA) models to identify air passenger and air cargo movements in the Hong Kong International Airport and evaluated the impact of COVID-19 on Hong Kong's air transport.
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Why is it important?
Our study showed that air passenger movements dropped by 86.2% while the volume of air cargo dropped by 6% in the Hong Kong International Airport in 2020. Additionally, we found that the COVID-19 pandemic led to high unemployment rate in the transport and tourism-related sectors and had a significant negative economic impact on the aviation sector. Yet, visibility i.e. a kind of air pollution at the airport was significantly improved due to less air traffic - a rare upside of the COVID-19 pandemic.
Perspectives
We hope that air transport practitioners and policy makers can see the usefulness of ARIMA models in modeling air transport and the negative impact of air transport on air quality such as visibility.
Professor W.M. To
Macao Polytechnic University
Read the Original
This page is a summary of: The COVID-19 impacts on air transport - a case study of Hong Kong, International Journal of Shipping and Transport Logistics, January 2023, Inderscience Publishers,
DOI: 10.1504/ijstl.2023.129866.
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