[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.12985/ksaa.2020.28.4.147

A Study on the Prediction Analysis of Aviation Passenger Demand after Covid-19

Jin, Seong Hyun (Department of Aircraft Cabin Operation Management, Catholic Kwandong University)
Jeon, Seung Joon (Department of Aeronautical Science, Catholic Kwandong University)
Kim, Kyoung Eun (Department of Aeronautical Science, Catholic Kwandong University)

Publication Information

Journal of the Korean Society for Aviation and Aeronautics / v.28, no.4, 2020 , pp. 147-153 More about this Journal

Abstract

This study analyzed the outlook for aviation demand for the recovery of the aviation industry, focusing on airlines facing difficulties in management due to the Covid-19 crisis. Although the timing of the recovery in aviation demand is uncertain at the moment, this study is based on prior research related to Covid-19 and forecasts by aviation specialists, and analyzed by SWOT technique to a group of aviation experts to derive and suggest implications for the prospects of aviation demand. Looking at the implications based on the analysis results, first, customer trust to prevent infection should be considered a top priority for recovering aviation demand. Second, promote reasonable air price policy. Finally, it seeks to try various research and analysis techniques to predict long-term aviation demand to overcome Covid-19.

Keywords

Covid-19; Aviation Demand; Customer Trust; Air Price; SWOT Technique;

Citations & Related Records

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