About: Estimating and Projecting Air Passenger Traffic during the COVID-19 Coronavirus Outbreak and its Socio-Economic Impact

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Estimating and Projecting Air Passenger Traffic during the COVID-19 Coronavirus Outbreak and its Socio-Economic Impact Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Estimating and Projecting Air Passenger Traffic during the COVID-19 Coronavirus Outbreak and its Socio-Economic Impact
Creator	Spyratos, Spyridon Vespe, Michele Fabrizio, Iacus Maria, Stefano Satamaria, Natale
source	ArXiv
abstract	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 this 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.
has issue date	2020-04-17(xsd:dateTime)
has license	arxiv
sha1sum (hex)	26ad5d7fbb87bc58c2784d00df9d16840a5954f3
resource representing a document's title	Estimating and Projecting Air Passenger Traffic during the COVID-19 Coronavirus Outbreak and its Socio-Economic Impact
resource representing a document's body	covid:26ad5d7fbb87bc58c2784d00df9d16840a5954f3#body_text
is schema:about of	named entity 'World GDP' named entity 'EU27' named entity 'air travel' named entity 'hypothetical' named entity 'worst case scenarios' named entity 'reference' named entity 'January 2010' named entity 'booking' named entity 'worldwide' named entity 'losses' named entity 'impact' named entity 'flight' named entity 'Estimating' named entity 'COVID-19 Coronavirus Outbreak' named entity 'AIR TRAVEL' named entity 'SECTOR' named entity 'COMPANIES' named entity 'study' named entity 'loss' named entity 'losses' named entity 'Some' named entity 'COVID-19' named entity 'activity' named entity 'Traffic' named entity 'job losses' named entity 'airplane' named entity 'Socio-Economic' named entity 'Italy' named entity 'OpenSky' named entity 'Poisson process' named entity 'OpenSky Network' named entity 'open access' named entity 'Beijing Capital International Airport' named entity 'regression model' named entity 'China' named entity 'China' named entity 'total GDP' named entity 'GDP' named entity 'open access' named entity 'job losses' named entity 'web-scraping' named entity 'data set' named entity 'EU28' named entity 'GDP' named entity 'COVID-2019' named entity 'flight tracking' named entity 'regression model' named entity 'short note' named entity 'Far East Asia' named entity '85%' named entity 'Wuhan' named entity 'Asia' named entity 'United Kingdom' named entity 'flight tracking' named entity 'SARS' named entity 'IATA' named entity 'Air Transport Action Group' named entity 'COVID-2019' named entity 'Shenzhen' named entity 'COVID-19 pandemic' named entity 'job losses' named entity 'Sars-CoV-2' named entity 'avian flu' named entity 'Gaussian processes' named entity 'GDP' named entity 'China' named entity 'Indonesia' named entity 'IATA' named entity 'data set' named entity 'IATA' named entity 'China' named entity 'Caribbean' named entity 'impact of Covid-19' named entity 'China' named entity 'North America' named entity 'Dubai airport' named entity 'Soekarno-Hatta International Airport' named entity '15 March' named entity 'Europe' named entity 'Europe and North America' named entity 'Figure 8' named entity 'IATA' named entity 'Wuhan'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software