Abstract

Due to the coronavirus global crisis, most countries have put in place restrictive measures in order to confine the pandemia and contain the number of casualties. Among the restrictive measures, air traffic suspension is certainly quite effective in reducing the mobility on the global scale in the short term but it also has high socio-economic impact on the long and short term. The main focus of this study is to collect and prepare data on air passengers traffic worldwide with the scope of analyze the impact of travel ban on the aviation sector. Based on historical data from January 2010 till October 2019, a forecasting model is implemented in order to set a reference baseline. Making use of airplane movements extracted from online flight tracking platforms and on-line booking systems, this study presents also a first assessment of recent changes in flight activity around the world as a result of the COVID-19 pandemic. To study the effects of air travel ban on aviation and in turn its socio-economic, several scenarios are constructed based on past pandemic crisis and the observed flight volumes. It turns out that, according to these hypothetical scenarios, in the first Quarter of 2020 the impact of aviation losses could have negatively reduced World GDP by 0.02% to 0.12% according to the observed data and, in the worst case scenarios, at the end of 2020 the loss could be as high as 1.41–1.67% and job losses may reach the value of 25–30 millions. Focusing on EU27, the GDP loss may amount to 1.66–1.98% by the end of 2020 and the number of job losses from 4.2 to 5 millions in the worst case scenarios. Some countries will be more affected than others in the short run and most European airlines companies will suffer from the travel ban. We hope that these preliminary results may be of help for informed policy making design of exit strategies from this global crisis.

Highlights

  • The recent COVID-19 Coronavirus outbreak and the relevant precautionary measures to limit its spreading are having clear impacts on human mobility at global scale

  • Through the use of historical air traffic data, real time flights tracks and on-line booking systems, this works aims to provide air traffic volume projections following a set of scenarios base on observed and previous crises

  • Considering only flights from EU27 to EU27 countries, it turns out that these very rough figures are comparable to those reported in JRC-Unit-B5 (2020): in the first Quarter of 2020, the Observed travel ban impacts 0.02% of the EU27 gross domestic product (GDP) and 0.13% under the EUROC scenario, while in the worst scenario (EUROC-L) the global impact can go up to 1.98% on a yearly base

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Summary

Introduction

The recent COVID-19 Coronavirus outbreak and the relevant precautionary measures to limit its spreading are having clear impacts on human mobility at global scale This provoked a reduction of domestic and international volumes of air passenger traffic to and from China in February (Iacus et al, 2020). Through the use of historical air traffic data, real time flights tracks and on-line booking systems, this works aims to provide air traffic volume projections following a set of scenarios base on observed and previous crises. These range from a rapid and full recovery to less optimistic scenarios of slower or even incomplete recovery which will depend on the duration and intensity of the lock-down. We present the different data sources used in this work to show the different types of impact on aviation, economy and society

Historical air traffic passenger data
The observed scenario via on-line booking data
Real-time flight tracking data
The forecasting model
Air traffic scenarios
EU27 regional impact
Analysis of real-time traffic on selected airports
Caveats of the analysis or what can go wrong?
Findings
Conclusions
Full Text
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