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Using aircraft location data to estimate current economic activity
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 Surveill...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200678/ https://www.ncbi.nlm.nih.gov/pubmed/32371997 http://dx.doi.org/10.1038/s41598-020-63734-w |
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author | Miller, Sam Moat, Helen Susannah Preis, Tobias |
author_facet | Miller, Sam Moat, Helen Susannah Preis, Tobias |
author_sort | Miller, Sam |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7200678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72006782020-05-12 Using aircraft location data to estimate current economic activity Miller, Sam Moat, Helen Susannah Preis, Tobias Sci Rep Article 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. Nature Publishing Group UK 2020-05-05 /pmc/articles/PMC7200678/ /pubmed/32371997 http://dx.doi.org/10.1038/s41598-020-63734-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Miller, Sam Moat, Helen Susannah Preis, Tobias Using aircraft location data to estimate current economic activity |
title | Using aircraft location data to estimate current economic activity |
title_full | Using aircraft location data to estimate current economic activity |
title_fullStr | Using aircraft location data to estimate current economic activity |
title_full_unstemmed | Using aircraft location data to estimate current economic activity |
title_short | Using aircraft location data to estimate current economic activity |
title_sort | using aircraft location data to estimate current economic activity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200678/ https://www.ncbi.nlm.nih.gov/pubmed/32371997 http://dx.doi.org/10.1038/s41598-020-63734-w |
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