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Determining the Future Demand: Studies for Air Traffic Forecasting

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  • S. M. PHYOE

    (School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Ave Singapore)

  • Y. X. LEE

    (School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Ave Singapore)

  • Z. W. ZHONG

    (School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Ave Singapore)

Abstract

The world has seen a rapid increase in air traffic and movement of passengers in the past two decades. Within Asia-Pacific itself, the number of aircraft departures saw a growth of approximately 200% in less than 10 years [1]. Air traffic forecast models would be useful in predicting the growth of air traffic in the future, so as to facilitate the development of technology, operations and infrastructure for the aviation industry. This paper aims to study air traffic models and find an approach for forecasting of the air traffic growth in Singapore. This paper applies the forecasting methodologies to predict the air traffic growth and checks the growth within the region by using simulations and modeling.

Suggested Citation

  • S. M. Phyoe & Y. X. Lee & Z. W. Zhong, 2016. "Determining the Future Demand: Studies for Air Traffic Forecasting," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 2(3), pages 83-86.
    • Handle: RePEc:apa:ijtess:2016:p:83-86
    DOI: 10.20469/ijtes.2.40004-3
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    References listed on IDEAS

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    1. Profillidis, V.A, 2000. "Econometric and fuzzy models for the forecast of demand in the airport of Rhodes," Journal of Air Transport Management, Elsevier, vol. 6(2), pages 95-100.
    2. Profillidis, V. & Botzoris, G., 2015. "Air passenger transport and economic activity," Journal of Air Transport Management, Elsevier, vol. 49(C), pages 23-27.
    3. Benoît Chèze & Julien Chevallier & Pascal Gastineau, 2012. "Will technological progress be sufficient to stabilize CO2 emissions from air transport in the mid-term?," EconomiX Working Papers 2012-35, University of Paris Nanterre, EconomiX.
    4. Profillidis, V.Α., 2012. "An ex-post assessment of a passenger demand forecast of an airport," Journal of Air Transport Management, Elsevier, vol. 25(C), pages 47-49.
    5. Alonso, G. & Benito, A. & Lonza, L. & Kousoulidou, M., 2014. "Investigations on the distribution of air transport traffic and CO2 emissions within the European Union," Journal of Air Transport Management, Elsevier, vol. 36(C), pages 85-93.
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    Cited by:

    1. Mohamed A. Mohamed & Qin Ning, 2017. "The failure of delayed detached eddy simulation for flow control over a hump using synthetic jet actuator," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 3(5), pages 192-210.
    2. Hafez M. Seliem & Mohamed H. Ahmed & Mohamed S. Shehata, 2017. "Multi-Copy Intersection-Based Routing Protocol for VANET in Urban Areas," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 3(5), pages 204-212.
    3. Mahmoud Mohamed Attalla & Mohamed Abdelfadiel Mohamed & Sabry Mohamed Iraqi, 2017. "The effects of inlet airflow angle on the quality of mixing air distribution in an aircraft cabin mock-up," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 3(4), pages 133-143.
    4. Hua-An Lu & Kung-Don Ye & Ming-Chen Chang, 2017. "An Empirical Evaluation for Passenger Markets Before and After Open-Sky Policy between Taiwan and Japan," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 3(1), pages 29-37.
    5. Tolebi Sailauov & Z. W. Zhong, 2017. "Air Traffic Forecasting Using Optimization for Econometric Models," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 3(5), pages 197-203.

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