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As long as people and freights need to move from one place to another, the civil aviation industry will always exist. In this study, a country-based examination has been made on total airfreight transport. Also, gross domestic product (GDP) and total population data were included in this study. 50 countries were selected according to the most recent value that included the years 2018 or 2019 and 26 of these were included in the analysis which was covered in all three rankings. The purpose of the study is to find the similarities between countries based on the total airfreight transportation, total GDP, and total population. The relationship between the three parameters was examined with the correlation analysis. Afterward, the associated parameters were taken as independent variables and the total airfreight transportation variable was modeled by multiple linear regression analysis. In light of these analyses, GDP and total population have a significant impact on total airfreight transportation. To check the assumptions related to outliers, residuals are determined. To show the outliers and the similarities of the countries clearly, the multidimensional scaling method is used. Multidimensional scaling configuration shows that Turkey and the United Kingdom have similarities in terms of total airfreight numbers.

As long as people and freights need to move from one place to another, the civil aviation industry will always exist. In this study, a country-based examination has been made on total airfreight transport. Also, gross domestic product (GDP) and total population data were included in this study. 50 countries were selected according to the most recent value that included the years 2018 or 2019 and 26 of these were included in the analysis which was covered in all three rankings. The purpose of the study is to find the similarities between countries based on the total airfreight transportation, total GDP, and total population. The relationship between the three parameters was examined with the correlation analysis. Afterward, the associated parameters were taken as independent variables and the total airfreight transportation variable was modeled by multiple linear regression analysis. In light of these analyses, GDP and total population have a significant impact on total airfreight transportation. To check the assumptions related to outliers, residuals are determined. To show the outliers and the similarities of the countries clearly, the multidimensional scaling method is used. Multidimensional scaling configuration shows that Turkey and the United Kingdom have similarities in terms of total airfreight numbers. [ABSTRACT FROM AUTHOR]

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One of the praxeological problems of safe and sustainable air transport (airfreight transport/air cargo, and air passenger transport) is the prevention and management of risks by competent staff, with the support of modern information and communication technologies. This paper presents an educational information model and software for the airport network and information systems risk assessment, primarily intended for aviation education and training of professionals for ensuring safe and sustainable air transport. The solution to the problem is based on the application of the fuzzy logic method in the air transport environment. Based on a fuzzy expert model, the selected scenario, and the input data established separately for airport assets by a group of 23 experts from aviation practice and a university, the following three assessments of airport network information system assets were constructed: Asset A2 (meteorological information systems) has an insignificant risk with an estimated 0.1162, and assets A1 (air traffic control and management (ATM), navigational aids and approach) and A3 (runway monitoring system) received a low risk of airport network and information systems (NIS) security with ratings of 0.2623 and 0.2915, respectively. An airport NIS risk assessment was aggregated (0.2288), indicating a low degree of security risk to the airport's network and information systems. The aggregated risk assessment of airport NIS, including financial loss data, was calculated as 0.1438, representing a low degree of security risk to the airport's network and information systems. Scenarios for evaluating airport assets are changing for students during education. The results of the developed model and its software will be part of the Simulation Center of the Faculty of Aeronautics. [ABSTRACT FROM AUTHOR]