Using aircraft location data to estimate current economic activity
被引:7
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作者:
Miller, Sam
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Univ Warwick, Warwick Business Sch, Data Sci Lab, Behav Sci, Scarman Rd, Coventry CV4 7AL, W Midlands, England
Alan Turing Inst, British Lib, 96 Euston Rd, London NW1 2DB, EnglandUniv Warwick, Warwick Business Sch, Data Sci Lab, Behav Sci, Scarman Rd, Coventry CV4 7AL, W Midlands, England
Miller, Sam
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Moat, Helen Susannah
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Preis, Tobias
[1
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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
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.