ISSN: 2375-3846
American Journal of Science and Technology  
Manuscript Information
 
 
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
480 Views Since March 6, 2019, 148 Downloads Since Mar. 6, 2019
 
 
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


Reference
 
[01]    

Tubitak Vizyon 2023. Ulaştırma ve Turizm Paneli Raporu, Ankara, 2003.

[02]    

Sarilgan AE. Türkiye’de Bölgesel Havayolu Taşımacılığının Geliştirilmesi İçin Yapılması Gerekenler. Anadolu University of Social Sciences. 2011; 11 (1), 69-88.

[03]    

Benitez CRB, Paredes RBC, Lodewijks G, Nabais JL, Damp trend grey model forecasting method for airline industry. Expert Systems with Applications. 2013; 40 (12), 4915-21.

[04]    

Ozan C, Başkan Ö, Haldenbilen S, Ceylan H. Yurtiçi hava taşımacılığı talebinin modellenmesi ve senaryolar altında değerlendirilmesi. Pamukkale University Journal of Engineering Sciences. 2014; 29 (9), 319-323.

[05]    

Rolim PSW, Bettini HFAJ, Oliveira, A. V. M. Estimating the impact of airport privatization on airline demand: A regression-based event study. Journal of Air Transport Management. 2016; 54, 31- 41.

[06]    

Celik DS. The Airline Transport Industry And Its Economıc Impacts, The Journal of International Scientific Researches. 2017; 2, 82-89.

[07]    

Wei Y. Chen MC. Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks. Transportation Research C. 2012; 21 (1), 148–162.

[08]    

Leng B, Zeng J, Xiong Z, Lv W, Wan Y. Probability tree based passenger flow prediction and its application to the Beijing subway system. Front. Comput. Sci. China. 2013; 7 (2), 195–203.

[09]    

Sun Y, Leng B, Guan W. A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system, Neurocomputing. 2015; 166, 109–121.

[10]    

Tumertekin, E. ve Ozguc, N. Ekonomik Coğrafya-Küreselleşme ve Kalkınma, Cantay Publications, İstanbul, 1999.

[11]    

Dilek O. Şehirlerarası Havayolu Talep Tahmini: Erzurum Üzerine Bir Uygulama, Master’s Thesis, Ataturk University Institute of Social Sciences, Erzurum; 2007.

[12]    

Basol K. Türkiye Ekonomisi. Anadolu University Publications, 4, Eskişehir, 2007.

[13]    

Akgungor AP, Demirel A. Türkiye’deki Ulaştırma Sistemlerinin Analizi ve Ulaştırma Politikaları. Pamukkale University Faculty of Engineering Journal of Engineering Sciences. 2004; 3 (10): 423-430.

[14]    

Batur S. Hava Yolcu ve Kargo Taşımacılığı; Dünyada ve Türkiye’de Uygulamalar, Master’s Thesis, Dokuz Eylul University Institute of Social Sciences, İzmir; 2008.

[15]    

http://www.boeing.com/commercial/c mo/images/cmo_forecast_sum_chart2_lrg.gif.

[16]    

Penner JE, Lister DE, Griggs DJ, Dokken DJ, MeFarland M. Aviation and the Global Atmosphere, Intergovernmental Panel on Climate Change, Cambridge, 1999; 296.

[17]    

Yaylali M, Dilek Ö. Erzurum’da Yolcuların Hava Ulaşım Tercihini Etkileyen Faktörlerin Tespiti, Marmara University Faculty of Economics and Administrative Sciences Journal. 2009; 26 (1), 1-21.

[18]    

Lisker-Melman B. An Analysis of the Mexican International Air Passenger Traffic, Master’s Thesis, Massachusetts Institute of Technology, Department of Aerospace Sciences, Massachusetts; 1978.

[19]    

Belobaba P, Odoni A, Barnhart C. The Global Airline Industry. John Wiley & Sons, Wiltshire; 2009.

[20]    

Civil Aviation Authority. Recent Trends in Growth of UK Air Passenger Demand, 60; 2008.

[21]    

https://tradingeconomics.com/turkey/tourism-revenues.

[22]    

http://www.stat.fi/meta/kas/matkulutus_en.html.

[23]    

Gurbuz T. Yapay Sinir Ağları ile Türkiye’deki Ulaştırma Talebinin Tahmini, Master’s Thesis, Kırıkkale University, Institute of Science and Technology, Kırıkkale; 2008.





 
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