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利用飞机位置数据来估算当前经济活动。

Using aircraft location data to estimate current economic activity.

机构信息

Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, Scarman Road, Coventry, CV4 7AL, UK.

The Alan Turing Institute, British Library, 96 Euston Road, London, NW1 2DB, UK.

出版信息

Sci Rep. 2020 May 5;10(1):7576. doi: 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.

摘要

航空业是经济的一个关键领域,在英国和美国至少贡献了国内生产总值(GDP)的 3%。目前,航空公司的业绩统计数据要延迟三个月发布。然而,现在飞机使用自动相关监视广播系统(ADS-B)实时广播其位置。在本文中,我们分析了自 2016 年 7 月以来的全球航班数据集。我们首先表明,使用 ADS-B 数据(可立即获得)可以准确估算航空公司的航班量。接下来,我们证明了实时了解航班量可以成为英国和美国航空业对 GDP 直接贡献的领先指标。因此,使用 ADS-B 数据可以帮助我们实现对 GDP 的实时估算,这将使政策制定者能够更快地获得应对冲击的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fd0/7200678/d546c7ef678f/41598_2020_63734_Fig1_HTML.jpg

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