Download
1-s2.0-S0925753520301880-main.pdf 2,54MB
WeightNameValue
1000 Titel
  • Estimating and projecting air passenger traffic during the COVID-19 coronavirus outbreak and its socio-economic impact
1000 Autor/in
  1. Iacus, Stefano Maria |
  2. Natale, Fabrizio |
  3. Santamaria, Carlos |
  4. Spyratos, Spyridon |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-05-06
1000 Erschienen in
1000 Quellenangabe
  • 129:104791
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.ssci.2020.104791 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200368/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Air passengers data
lokal Human mobility
lokal Scenario analysis
lokal Coronavirus
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-4884-0047|https://frl.publisso.de/adhoc/uri/TmF0YWxlLCBGYWJyaXppbw==|https://frl.publisso.de/adhoc/uri/U2FudGFtYXJpYSwgQ2FybG9z|https://frl.publisso.de/adhoc/uri/U3B5cmF0b3MsIFNweXJpZG9u
1000 Label
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6421225.rdf
1000 Erstellt am 2020-06-04T12:52:43.424+0200
1000 Erstellt von 21
1000 beschreibt frl:6421225
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Mon May 30 13:01:40 CEST 2022
1000 Objekt bearb. Mon May 30 13:01:40 CEST 2022
1000 Vgl. frl:6421225
1000 Oai Id
  1. oai:frl.publisso.de:frl:6421225 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source