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American Journal of Science and Technology

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Factors Affecting Global Passenger Flow and a Model Proposal for Forecasting

American Journal of Science and Technology
Vol.6 , No. 1, Publication Date: Mar. 6, 2019, Page: 1-13

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Authors

[1]	Yavuz Ozdemir, Department of Industrial Engineering, Yildiz Technical University, Istanbul, Turkey.
[2]	Kemal Gokhan Nalbant, Department of Industrial Engineering, Yildiz Technical University, Istanbul, Turkey.
[3]	Eray Somunkiran, Department of Industrial Engineering, Yildiz Technical University, Istanbul, Turkey.
[4]	Hüseyin Basligil, Department of Industrial Engineering, Yildiz Technical University, Istanbul, Turkey.

Abstract

While the world is getting globalized, the transportation sector, which provides transportation of people or goods from one point to another, is becoming more and more important. At the beginning of the 20th century, air transport compared to other transport types has come to the fore in the best possible way. The reason why globalization deeply influences air transport is the fact that it is one of the most open sectors in the international arena in terms of facilities in this sector. On the one hand, some of the important activities internationally conducted in the sector are deregulation, privatizations, and corporate mergers. On the other hand, this sector has been adversely affected by the recent economic crises and terrorist incidents. In this study, factors affecting the demand of international flights are revealed and these factors are analyzed. The effects of the identified factors are quantified by evaluating the effects of univariate regression analysis using SPSS software, then the effects of the factors are weighted by multiple regression analysis and a model that could be used for predicting future passenger numbers for the following years is obtained. The obtained model has been tested with real data on the basis of countries.

Keywords

Airline Transportation, Global Passenger Flow, Modeling, Regression Analysis, Demand Forecasts, Passenger Demand

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