Impact of different control policies for COVID-19 outbreak on the air transportation industry: A comparison between China, the U.S. and Singapore

• Published in: PloS one Vol. 16; no. 3; p. e0248361
• Main Authors: Meng, Fanyu, Gong, Wenwu, Liang, Jun, Li, Xian, Zeng, Yiping, Yang, Lili
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 16.03.2021; Public Library of Science (PLoS)
• Subjects: Air transportation; Air transportation industry; Aircraft; Aircraft - economics; Airlines; Aviation; China; Coronaviruses; COVID-19; COVID-19 - pathology; COVID-19 - transmission; COVID-19 - virology; Databases, Factual; Disease Outbreaks; Disease transmission; Earth Sciences; Economic aspects; Engineering and Technology; Epidemics; Humans; Industry; International aspects; Medicine and Health Sciences; Mobility; Models, Statistical; Pandemics; People and Places; Physical Sciences; Policies; Policy; Research and Analysis Methods; SARS-CoV-2 - isolation & purification; Severe acute respiratory syndrome coronavirus 2; Singapore; Social aspects; Social Sciences; Software; Supervision; Time series; Transportation industry; Transportation services; Travel; United States; Viral diseases; United States; China; Singapore; United Kingdom > UK; Asia; United States > US
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0248361

Many countries have been implementing various control measures with different strictness levels to prevent the coronavirus disease 2019 (COVID-19) from spreading. With the great reduction in human mobility and daily activities, considerable impacts have been imposed on the global air transportation industry. This study applies a hybrid SARIMA-based intervention model to measure the differences in the impacts of different control measures implemented in China, the U.S. and Singapore on air passenger and air freight traffic. To explore the effect of time span for the measures to be in force, two scenarios are invented, namely a long-term intervention and a short-term intervention, and predictions are made till the end of 2020 for all three countries under both scenarios. As a result, predictive patterns of the selected metrics for the three countries are rather different. China is predicted to have the mildest economic impact on the air transportation industry in this year in terms of air passenger revenue and air cargo traffic, provided that the control measures were prompt and effective. The U.S. would suffer from a far-reaching impact on the industry if the same control measures are maintained. More uncertainties are found for Singapore, as it is strongly associated with international travel demands. Suggestions are made for the three countries and the rest of the world on how to seek a balance between the strictness of control measures and the potential long-term industrial losses.