Using aircraft location data to estimate current economic activity

被引:7
|
作者
Miller, Sam [1 ,2 ]
Moat, Helen Susannah [1 ,2 ]
Preis, Tobias [1 ,2 ]
机构
[1] Univ Warwick, Warwick Business Sch, Data Sci Lab, Behav Sci, Scarman Rd, Coventry CV4 7AL, W Midlands, England
[2] Alan Turing Inst, British Lib, 96 Euston Rd, London NW1 2DB, England
基金
英国工程与自然科学研究理事会;
关键词
D O I
10.1038/s41598-020-63734-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:7
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