Air Traffic and Economic Output: Projections for ASEAN
Volume 3, Issue 3 DEWANSH RAHEJA, R. GUO, S. M. PHYOE, Y. X. LEE, Z. W. ZHONG
Published online: 22 June 2017
Article Views: 25
Abstract
The transportation sector is significant for development purpose. Over the past decade, there has been a considerable growth in passenger traffic,which has in turn uplifted the aircraft movements across destinations. Our study aims to analyze the growth in aircraft movements across top five country pairs in the ASEAN region. The literature review indicated that gross domestic product plays a significant role in determining the air traffic. Hence,a simple econometric model using real GDP, modified to include time dummies, was used to forecast the air traffic across chosen origin-destination country pairs. The results of the study supported the increasing aircraft movements and the positive effect of economic output on air traffic. The forecasts in this paper can be helpful in long-term airway capacity planning,while simulation and modeling offer an understanding of flight movements across countries in ASEAN.
References
Abed, S. Y., Ba-Fail, A. O., & Jasimuddin, S. M. (2001). An econometric analysis of international air travel demand in Saudi Arabia. Journal of Air Transport Management, 7(3), 143-148.
Airbus. (2016). Global market forecast 2016-2035. Retrieved from https://goo.gl/FnIvri
Boeing. (2016). Current market outlook 2016-2035. Retrieved from https://goo.gl/gKNlNu
Cheze,B.,Chevallier,J.,&Gastineau,P.(2011). Fore casting world and regional air traffic in the mid-term(2025): An econometric analysis of air traffic determinants using dynamic panel-data models (working paper). Universite Paris-Dauphine, Paris, France.
Cheze, B., Gastineau, P., & Chevallier, J. (2010). Forecasting air traffic and corresponding jet-fuel demand until 2025. Retrieved from https://goo.gl/sxgcpx
Cheze, B., Gastineau, P.,&Chevallier, J.(2011). Fore casting world and regional aviation jet fuel demands to the mid-term(2025). Energy Policy, 39(9), 5147-5158.
Chi, J., & Baek, J. (2013). Dynamic relationship between air transport demand and economic growth in the United States: A new look. Transport Policy, 29, 257-260.
Cline, R. C., Ruhl, T. A., Gosling, G. D., & Gillen, D. W. (1998). Air transportation demand forecasts in emerging market economies: A case study of the Kyrgyz Republic in the former Soviet Union. Journal of Air Transport Management, 4(1), 11-23.
Doganis,R.(2002). Flying offcourse: The economics of international airlines(3rded.). London,UK:Routledge Taylor & Francis Group.
Fildes, R., Wei, Y., & Ismail, S. (2011). Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures. International Journal of Forecasting, 27(3), 902-922.
Gillen, D., & Lall, A. (2003). International transmission of shocks in the airline industry. Journal of Air Transport Management, 9(1), 37-49.
Graham, A. (2006). Have the major forces driving leisure airline traffic changed? Journal of Air Transport Management, 12(1), 14-20.
Grancay, M. (2009). Economic impact of air liberalisation. Unpublished research paper, Munich Personnel Re PEC, Munich, Germany.
Green, R. K. (2007). Airports and economic development. Real Estate Economics, 35(1), 91-112.
Grubb, H., & Mason, A. (2001). Long lead-time forecasting of UK air passengers by HoltWinters methods with damped trend. International Journal of Forecasting, 17(1), 71-82.
Hansman, R. J., & Ishutkina, M. (2009). Analysis of the interaction between air transportation and economic activity: A worldwide perspective. Paper presented in the 26th Congress of ICAS and 8th AIAA ATIO, Aviation Technology, Integration and Operations (ATIO) Conferences, Alaska, AK.
Horner, S., & Swarbrooke, J. (1999). Consumer behaviour in tourism. Oxford, UK: Butterworth-Heinemann. Hsu, C. I., & Wen, Y. H. (1998). Improved grey prediction models for the transpacific air passenger market. Transportation Planning and Technology, 22(2), 87-107.
Hu, Y., Xiao, J., Deng, Y., Xiao, Y., & Wang, S. (2015). Domestic air passenger traffic and economic growth in China: Evidence from heterogeneous panel models. Journal of Air Transport Management, 42, 95-100.
Huth, W. L., & Eriksen, S. E. (1987). Airline traffic forecasting using deterministic and stochas. Logistics and Transportation Review, 23(4), 401-409.
Ismaila,D.A.,Warnock-Smith,D.,&Hubbard,N.(2014). The impact of air service agreement liberalisation: The case of Nigeria. Journal of Air Transport Management, 37, 69-75.
Jorge-Calderon, J. D. (1997). A demand model for scheduled airline services on international European routes. Journal of Air Transport Management, 3(1), 23-35.
Karlaftis, M. G., Zografos, K. G., Papastavrou, J. D., & Charnes, J. M. (1996). Methodological framework for air-travel demand forecasting. Journal of Transportation Engineering, 122(2), 96-104.
Kopsch, F. (2012). A demand model for domestic air travel in Sweden. Journal of Air Transport Management, 20, 46-48.
Lee, K. N. (2011). Forecasting long-haul tourism demand for Hong Kong using error correction models. Applied Economics, 43(5), 527-549.
Lian, J. I., & Denstadli, J. M. (2010). Booming leisure air travel to Norway-the role of airline competition. Scandinavian Journal of Hospitality and Tourism, 10(1), 1-15.
Schafer, A., & Victor, D. G. (2000). The future mobility of the world population. Transportation Research Part A: Policy and Practice, 34(3), 171-205.
Sivrikaya,O.,& Tunc,E.(2013). Demand forecasting for domestic air transportation in Turkey. The Open Transportation Journal, 7(1), 20-26.
Valdes, V. (2015). Determinants of air travel demand in Middle Income Countries. Journal of Air Transport Management, 42, 75-84.
World Travel and Tourism Council(WTTC). (2016). 1 in 10 of all tourism investment dollars go into ASEAN by 2026 says WTTC . Retrieved from https://goo.gl/ZNEpQt
To Cite this article
Raheja, D., Guo, R., Phyoe, S. M., Lee, Y. X., & Zhong, Z. W. (2017). Air traffic and economic output: Projections for ASEAN. International Journal of Business and Administrative Studies, 3(3), 92-99.