ANALYZING THE SOCIAL FACTORS AFFECTING AVIATION DEVELOPMENT IN COUNTRIES BY CREATING A MIXED CURVILINEAR REGRESSION MODEL

Abstract

Purpose- The objective of this study is to determine the social factors of countries that are effective in the development of aviation and to measure their effects on aviation development by creating a mixed curvilinear regression model. Methodology- The study is started with a literature review to determine the possible effective social factors on aviation development and then a mixed curvilinear regression model is developed to measure the weights of these factors. Findings- 15 different social factors were examined to produce inputs for the regression model. Feature selection of regression model is examined and the reasons for eliminating the features were investigated. The weights of the social factors included in the regression model relative to each other was measured. Conclusion- Aviation has been battling the devastating impact of the Covid-19 outbreak since the beginning of 2019. Now, the importance of every passenger, the value of the money spent on investments and impact of airport efficiencies have increased to a level which is never touched before. This study is carried out to enrich the research conducted before investments in the aviation industry.

Keywords

• Curvilinear regression
• mixed regression
• social factors
• aviation
• air travel per capita

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