Literature DB >> 33724996

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

Fanyu Meng1,2, Wenwu Gong1, Jun Liang1, Xian Li1,3, Yiping Zeng1, Lili Yang1.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33724996     DOI: 10.1371/journal.pone.0248361

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  4 in total

1.  Risk of COVID-19 Infection in Public Transportation: The Development of a Model.

Authors:  Junsik Park; Gurjoong Kim
Journal:  Int J Environ Res Public Health       Date:  2021-12-04       Impact factor: 3.390

2.  Wealth, health, and beyond: Is COVID-19 less likely to spread in rich neighborhoods?

Authors:  Yue Gong; Guochang Zhao
Journal:  PLoS One       Date:  2022-05-10       Impact factor: 3.240

Review 3.  A Review of COVID-19-Related Literature on Freight Transport: Impacts, Mitigation Strategies, Recovery Measures, and Future Research Directions.

Authors:  Ahmed Karam; Abdelrahman E E Eltoukhy; Ibrahim Abdelfadeel Shaban; El-Awady Attia
Journal:  Int J Environ Res Public Health       Date:  2022-09-27       Impact factor: 4.614

4.  How do the smart travel ban policy and intercity travel pattern affect COVID-19 trends? Lessons learned from Iran.

Authors:  Habibollah Nassiri; Seyed Iman Mohammadpour; Mohammad Dahaghin
Journal:  PLoS One       Date:  2022-10-18       Impact factor: 3.752

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.