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Using aircraft location data to estimate current economic activity
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Miller, Sam, Moat, Helen Susannah and Preis, Tobias (2020) Using aircraft location data to estimate current economic activity. Scientific Reports, 10 (1). 7576. doi:10.1038/s41598-020-63734-w ISSN 2045-2322.
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WRAP-using-aircraft-location-data-estimate-current-economic-activity-Preis-2020.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (1219Kb) | Preview |
Official URL: http://dx.doi.org/10.1038/s41598-020-63734-w
Abstract
Aviation is a key sector of the economy, contributing at least 3% to gross domestic product (GDP) in the UK and the US. Currently, airline performance statistics are published with a three month delay. However, aircraft now broadcast their location in real-time using the Automated Dependent Surveillance Broadcast system (ADS-B). In this paper, we analyse a global dataset of flights since July 2016. We first show that it is possible to accurately estimate airline flight volumes using ADS-B data, which is available immediately. Next, we demonstrate that real-time knowledge of flight volumes can be a leading indicator for aviation’s direct contribution to GDP in both the UK and the US. Using ADS-B data could therefore help move us towards real-time estimates of GDP, which would equip policymakers with the information to respond to shocks more quickly.
| Item Type: | Journal Article | ||||||||||||
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| Subjects: | H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HE Transportation and Communications T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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| Divisions: | Faculty of Social Sciences > Warwick Business School > Behavioural Science Faculty of Social Sciences > Warwick Business School |
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| Library of Congress Subject Headings (LCSH): | Airplanes , Consolidation and merger of corporations, Aeronautics, Commercial , Aeronautics, Commercial -- Economic aspects | ||||||||||||
| Journal or Publication Title: | Scientific Reports | ||||||||||||
| Publisher: | Nature Publishing Group | ||||||||||||
| ISSN: | 2045-2322 | ||||||||||||
| Official Date: | 5 May 2020 | ||||||||||||
| Dates: |
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| Volume: | 10 | ||||||||||||
| Number: | 1 | ||||||||||||
| Article Number: | 7576 | ||||||||||||
| DOI: | 10.1038/s41598-020-63734-w | ||||||||||||
| Status: | Peer Reviewed | ||||||||||||
| Publication Status: | Published | ||||||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||
| Date of first compliant deposit: | 15 May 2020 | ||||||||||||
| Date of first compliant Open Access: | 15 May 2020 | ||||||||||||
| RIOXX Funder/Project Grant: |
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