Post Covid-19 Analysis of the Aviation Sector

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Abstract: Many countries' economic prosperity and strategic development are dependent on the aviation industry, and it plays an indispensable role in the global transportation system. The emergence of a pandemic, which is likely to shatter the sector and disrupt its operations fundamentally, is one of the most common and unprecedented challenges to this industry. Beginning in 2020, the terrible impact of coronavirus (COVID-19) disease, which has evolved into a worldwide pandemic and resulted in a radical reestablishment of society's daily existence, has been faced by aviation. The pandemic has caused a shift in the formerly usual method of air travel. This thesis investigates the ramifications of COVID-19 for the aviation business, as well as the measures employed by this industry in reaction to the crisis and the intention of passengers to travel by air during pandemics. This thesis' literature analysis covers the issues that the airline sector is facing as a result of the global pandemic, as well as the restructured onboard experience, including the new safety measures that have been implemented across the entire aviation network. The report also looks at the new passenger behaviour trends. In April-May 2021, an online empirical experiment using a video advertising as a stimulus in two separate experimental circumstances was done using a quantitative research approach. The impact of aircraft safety measures on travel intention, customer happiness, value for money, and perceived health risk on the general public was investigated. According to the findings, airline safety measures are likely to have a favourable impact on expected consumer satisfaction. At the same time, direct exposure to aircraft safety measures did not lessen their perceived health risk or raise their considered value for money. According to the findings, improving customer satisfaction and expected value for money might have a favourable impact on individual travel intentions. On the contrary, the greater the perception of a health danger, the less inclined people are to fly. This would be a negative scenario for the air traffic sector, whose future development is now difficult to foresee, and the amount of time required to recover is unknown. Keywords: Covid-19, Air traffic, Analysis, Python, Pre-processing