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FARKLI PİST SAYISINA VE KONFİGÜRASYONUNA SAHİP HAVAALANLARINDA UÇAK OPERASYONLARININ DEĞERLENDİRİLMESİ

THE EVALUATION OF AIRCRAFT OPERATIONS AT AIRPORTS HAVING DIFFERENT NUMBERS AND CONFIGURATIONS OF RUNWAYS

Journal Name:

  • Havacılık ve Uzay Teknolojileri Dergisi

Publication Year:

  • 2012

Key Words:

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
One of the important parts of the air transportation system is the airport which needs to increase its capacity due to a growth in air traffic demand. Many factors influence the capacity of an airport airside, and some are more significant than others, such as the numbers and configurations of runways. At first, constructing new runways appears to be a solution, but there is little possibility of expanding existing or adding new runways to many of Europe’s most congested airports. As a result, service providers suggest increasing the capacity of airfields using existing runway components more efficiently. In this study, 388 European Airports are analyzed in terms of the number of aircraft operations, and a correlation analysis between the number of runways and operations is conducted. Furthermore, in order to predict the number of traffic operations with using the configuration and number of runways, multiple linear regression test is applied and a model is developed.
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Abstract (Original Language): 
Artan hava trafik talebi, hava ulaştırma sisteminin önemli bir parçası olan havaalanlarında kapasite arttırımı ihtiyacını ortaya çıkarmaktadır. Havaalanı hava tarafı kapasitesini etkileyen birçok faktör bulunmaktadır. Pist konfigürasyonu ve pist sayısı bu faktörlerin en önemlileri arasında yer almaktadır. Ilk bakışta, kapasite problemlerini çözmede yeni pistlerin eklenmesi çözüm gibi görünse de, Avrupadaki birçok yoğun havaalanında yeni bir pist eklenmesi ya da mevcut olanın genişletilmesi olasılığı çok düşüktür. Sonuç olarak, hizmet sağlayıcılar hava tarafı kapasitesinin arttırılmasında mevcut pist elemanlarının daha verimli şekilde kullanılmasını önermektedir. Bu çalışmada, Avrupa’daki 388 havaalanı, trafik operasyon sayısı açısından analiz edilerek, mevcut pist sayıları ile trafik operasyon sayısı arasındaki ilişki incelenmiştir. Bununla birlikte, pist konfigürasyonu ve pist sayısı ile trafik operasyon sayısı tahmini için çoklu lineer regresyon testi kullanılarak bir model geliştirilmiştir.
FULL TEXT (PDF): 
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REFERENCES

References: 

[1] Neufville, R., Odoni A. 2003. Airport Systems,
Planning, Design, and Management. New York,
McGraw Hill Inc., New York.
[2] Astholz, P. T., Sheftel D., Harris R., 1970.
Increasing Runway Capacity. Proceeding of the IEEE,
58(3), 300.
[3] Zeinert, P., Hlousek P., Kraus P., Duka T.,
2004. Airport Capacity Enhancement. Praha Ruzyne
Airport, Eurocontrol Leaflet, Available from:
http://www.eurocontrol.int/airports/gallery/content/pu
blic/pdf/Prague%20leaflet%20Phase%201.pdf
(Accessed 11 October 2011).
[4] Galpin, D., Pugh, C., Turp, D., 2005. European
Wake Vorteks Mitigation Benefits Study, Work
Package 1 Deliverable : Identification of WV
Constrained Airports, Eurocontrol.
[5] Audenaerd, L., Domino, D., Lang, S.,
Lunsford, C., Smith, A., Tittsworth, J., 2009.
Increasing Airport Arrival Capacity in NextGen with
Wake Turbulence Avoidance. ICNS Conference 13-15
May.
[6] Leroyer, P., 2004. Airside Study of Charles de
Gaulle Airport, Airside Organization Traffic Growth
and Risks of Congestion. Massachusetts Institute of
Technology, USA.
The Evaluation of Aircraft Operations at Airports Having Different Numbers and Configurations of Runways
ŞAHİN, USANMAZ
24
[7] Levy, J., Legge, J., Romano, M., 2004.
Opportunities For Improvements In Simple Models
For Estimating Runway Capacity. IEEE.
[8] Odoni, A. R. 2004. Airport Systems Course.
Massachusetts Institute of Technology, USA.
Available from:
http://ardent.mit.edu/airports/ASP_current_lectures/A
SP%2004/Airfield_Capacity_04_bw.pdf (Accessed 20
September 2011).
[9] Bazargan, M., Fleming, K., Subramanian, P.,
2002. A Simulation Study To Investigate Runway
Capacity Using TAAM. 2002 Winter Simulation
Conference (WSC'02) – Vol. 2
San Diego, CA, USA.
[10] Hunter, G., 2010. Probablilistic Forecasting Of
Airport Capacity. 29th Digital Avionics Systems
Conference October 3-7.
[11] Janic, M., 2007. A Heuristic Algorithm for the
Allocation of Airport Runway System Capacity.
Transportation Planning And Technology, 30(5), 501-
520.
[12] Schank, L., J., 2005. Solving Airside
Congestion: Why Peak Runway Pricing is Not
Working. Journal of Air Transport Management 11,
417-425.
[13] Urbatzka, E., Wilken, D., 1997. Estimating
Runway Capacities of German Airports.
Transportation Planning and Technology, 20, 103 -
129.
[14] Weld, C., Duarte, M., Kincaid, R., 2010. A
Runway Configuration Management Model With
Marginally Decreasing Transition Capacities.
Advances in Operations Research Volume 2010,
Article ID 436765.
[15] Dempsey, P. S., 1999. Airport
Planning&Development Handbook. New York,
McGraw Hill Inc., A Global Survey.
[16] Wells, A.T., 2000. Airport Planning and
Management. New York, McGraw Hill Inc., Fourth
edition.
[17] Horonjeff, R., McKelvey F. X., 1993.
Planning&Design of Airports. Boston, McGraw Hill
Inc., Fourth edition.
[18] FAA Order 7210.57- CD Release January 31,
1998.
[19] International Civil Aviation Organization
(ICAO) DOC 9184 Airport Planning Manual, Part I,
Master Planning. Second edition, 1987.
[20] Airport Council International (ACI), (2006).
Airport Database.

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