Abstract
The COVID-19 pandemic has had a significant impact on the air transportation system worldwide. This paper aims at analyzing the effect of the travel restriction measures implemented during the COVID-19 pandemic from a passenger perspective on the US air transportation system. Four metrics based on data generated by passengers and airlines on social media are proposed to measure how the travel restriction measures impacted the relation between passengers and airlines in close to real-time. The proposed metrics indicate that each airline has reacted differently to the COVID-19 travel restriction measures from a passenger perspective, therefore they can be used by airlines and passengers to improve their decision making process. This report comes ahead of official data related to the same sequence of events, thereby showing the value of passenger-borne data in an industry where corporate priorities, institutional prudence, and passenger satisfaction come close together.
Highlights
This paper proposes an alternative approach to analyzing the air transportation system by focusing on airline performances with respect to their passengers using data generated by airlines and by passengers
Using Twitter to build a real-time estimator of the air transportation system is investigated in [52], [?] whose purpose is to estimate flight-centric values per airport before they were released by Bureau of Transportation Statistics (BTS)
This paper takes another approach and proposes several passenger-centric metrics constructed from passenger-generated data in order to offer a passenger-centric perspective of the air transportation system, with a focus on the relation between airlines and passengers
Summary
Iran: March 11th, 2020 4) EU external border closure: March 17th, 2020 5) US Level 4 Global Health Travel Advisory: March 19th, 2020 Figure 1 presents the number of passengers arriving at US immigration across all airports of entry using the ”Airport Wait Times” data from the Customs and Border Protection (CBP) website [4] This plot illustrates clearly the effect of these travel restriction measures on the international traffic coming to the US. Among some of the founding survey studies, [25] have a sample size of 211 passengers and [28] have a sample size of 385 passengers They are expensive and time consuming to implement, making their use for measuring the effects of major perturbations, such as the COVID-19 pandemic, on the air transportation system cumbersome and difficult to update
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