Volume – 1 Issue – 2 Article – 4

Modelling and Managing Airport Passenger Flow: A Case of Hasan Polatkan Airport in Turkey

İlkay Orhan, Gamze Orhan
1. Eskisehir Technical University Faculty of Aeronautics and Astronautics
F IJAST 2020; 1 (2) : 71-79; 10.23890/IJAST.vm01is02.0204; Language: EN

The airport passenger flow process is an integrated system in which passengers interact with multiple components of the system, and a failure in one component can cause greater disruption in others because of time-related constraints. Airport operators analyse and decide the results by using decision support systems under the airport management strategies by determining the potential congestion and related problems such as capacity limitations or equipment malfunctions. In this study, airport systems handle the passenger flow that covers all activities between the airport entrance and boarding. Discrete event simulation was used to assess the passenger flow and performing the activities in the related processes. The model comprises security screening, check-in, passport control and boarding processes. Within the proposed model, points with potential bottlenecks in Hasan Polatkan Airport have estimated according to International Air Transport Association (IATA) performance values.

Airport Management.Decision Support Systems.Simulation.Air Transportation .Airport terminal analysis

  1. Mota, M. M. (2015). Check-in allocation improvements through the use of a simulation–optimization approach. Transportation Research Part A: Policy and Practice, 77, 320-335.
  2. Alodhaibi, S., R.L. Burdet.t, and P.K.D.V. Yarlagadda, (2017). Framework for Airport Outbound Passenger Flow Modelling. Procedia Engineering, 174, 1100-1109.
  3. Gatersleben, M. R., & Van der Weij, S. W. (1999 ). Analysis and simulation of passenger flow in an airport terminal. In Proceedings of the 31st conference on Winter simulation: Simulation—a bridge to the future, 2, 1226-1231.
  4. Guizzi, G., Murino, T., & Romano, E. (2009). A discrete event simulation to model passenger flow in the airport terminal. Mathematical methods and applied computing, 2, 427-434.
  5. Martel, N. and Seneviratne, P.N. (1990) Analysis of Factors Influencing Quality of Service in Passenger Terminal Building, Transportation Research Record, No. 1273, 1-10.
  6. Takakuwa, S., Oyama, T. (2003). Simulation analysis of international departure passenger flows in an airport terminal. Proceedings of the 2003 Winfer Simulation Conference, 1627-1634.
  7. Appelt, S., Batta, R., Lin, L., & Drury, C. (2007). Simulation of passenger check-in at a medium-sized US airport. In 2007 Winter Simulation Conference, 1252-1260. IEEE.
  8. Graham, A. (2009). How important are commercial revenues to today’s airports?. Journal of Air Transport Management, 15 (3), 106-111.
  9. Katz, K. L., Larson, B. M. ve Larson, R. C. (1991). Prescription for the waiting-in-line blues: Entertain, enlighten, and engage. Sloan Management Review, 32(2), 44-53
  10. Zografos, K. G., & Madas, M. A. (2006). Development and demonstration of an integrated decision support system for airport performance analysis. Transportation Research Part C: Emerging Technologies, 14(1), 1-17.
  11. Bruno, G., Diglio, A., Genovese, A., & Piccolo, C. (2019). A decision support system to improve performances of airport check-in services. Soft Computing, 23(9), 2877-2886.
  12. Herrero, J. G., Berlanga, A., Molina, J. M., & Casar, J. R. (2005). Methods for operations planning in airport decision support systems. Applied Intelligence, 22(3), 183-206.
  13. Stamatopoulos, M. A., Zografos, K. G., & Odoni, A. R. (2004). A decision support system for airport strategic planning. Transportation Research Part C: Emerging Technologies, 12(2), 91-117.
  14. Hayashi, M., Hoang, T., Jung, Y. C., Malik, W., Lee, H., & Dulchinos, V. L. (2015). Evaluation of pushback decision-support tool concept for Charlotte Douglas International Airport ramp operations.
  15. Fayez, M. S., Kaylani, A., Cope, D., Rychlik, N., & Mollaghasemi, M. (2008). Managing airport operations using simulation. Journal of Simulation, 2(1), 41-52.
  16. Beck, A. (2011). Case study: modelling passenger flows in Heathrow Terminal 5. Journal of Simulation, 5(2), 69-76.
  17. Yamada, H., Ohori, K., Iwao, T., Kira, A., Kamiyama, N., Yoshida, H., & Anai, H. (2017). Modeling and managing airport passenger flow under uncertainty: a case of Fukuoka Airport in Japan. In International Conference on Social Informatics (pp. 419-430). Springer, Cham.
  18. Kierzkowski, A. and T. Kisiel. (2014) An impact of the operators and passenger’s behavior on the airport’s security screening reliability. in Safety and Reliability: Methodology and Applications – Proceedings of the European Safety and Reliability Conference, ESREL
  19. Dorton, S. and D. Liu, (2015). Effects of Baggage Volume and Alarm Rate on Airport Security Screening Checkpoint Efficiency using Queuing Networks and Discrete Event Simulation. Human Factors and Ergonomics in Manufacturing & Service Industries.
  20. Manataki, I. E., Zografos, K. G. (2009). A generic system dynamics-based tool for airport terminal performance analysis. Transportation Research Part C: Emerging Technologies, 17(4), 428-443.
  21. Al-Sultan, A. T. (2016). Optimization of airport check-in scheduling at passenger terminal. International Journal of Applied Business and Economic Research, 14(5), 3233-3245.
  22. Araujo, G. E., Repolho, H. M. (2015). Optimizing the airport check-in counter allocation problem. Journal of Transport Literature, 9(4), 15-19.
  23. Mota, M. M., Alcaraz, C. Z. (2015). Allocation of airport check-in counters using a simulation-optimization approach. In Applied Simulation and Optimization (pp. 203-229). Springer, Cham. 24 Joustra, P., and Van Dijk, N., (2001). Simulation of Check-in at Airports. Proceedings of the 2001 Winter Simulation Conference, 1023.
  24. Joustra, P., and Van Dijk, N., (2001). Simulation of Check-in at Airports. Proceedings of the 2001 Winter Simulation Conference, 1023.
  25. Yan S., Shieh C., Chen M. (2002) A simulation framework for evaluating airport gate assignments. Transportation Research Part A, 36, pp 885-898.
  26. Dorndorf U., Drexl A., Nikulin Y., Pesch E. (2005) Flight gate scheduling: State-of-the-art and recent developments. Omega, 35, pp 26 – 334. 27 Rasmussen, J. (1993). Deciding and doing: decision making in natural context. In Decision Making in Action: Models and Methods. G. A. Klein (Ed.). Ablex Publishing. 28 Kapanoglu, M. (2016). Karar Destek Sistemleri: Temel Kavramlar (Decision Support Systems: Basic Concepts). In Karar Destek Sistemleri (Decision Support Systems), Kapanoglu, M. (Ed.), T.C. Anadolu Üniversitesi Yayını No: 3458, Eskisehir, Turkey.
  27. Verbraeck, A., and Valentin, E., (2002). Simulation Building Blocks for Airport Terminal Modeling, Proceedings of the 2002 Winter Simulation Conference, 1199-1200.
  28. Appelt S., Batta R., Lin Li, Drury C., (2007). Simulation of passenger check-in at a medium sized airport. Proceedings of the 2007 Winter Simulation Conference, 1252-1260.
  29. Chun Wai Hon, Wai Tak Mak R. (1999.), Intelligent Resource Simulation for an Airport Check-In Counter Allocation System. IEEE Transaction on Systems, Man, and Cybernetics – part C: applications and reviews, vol. 29, no.3.
  30. IATA., (1981). Guidelines for Airpot Capacity/Demand Management. Geneva, Switzerland.
  31. Brunetta, L., L. Righi and G. Anderetta. (1999). An Operations Research Model for The Evaluation Of An Airport Terminal: SLAM (Simple Landside Aggregate Model) Journal of Air Traffic Management 5, 161-175
  32. Federal Aviation Administration, (1980). AC 150/5360-9, Planning and Design of Airport Terminal Building Facilities at Non-hub Locations, Washington, DC
  33. Guizzi, G., Murino, T., & Romano, E. (2009). A discrete event simulation to model passenger flow in the airport terminal. In Proceedings of the 11th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering (MMACTEE’09), 427-434.
  34. GDSAA (2020), General Directorate of State Airports Authority, “Airports Comparative Statistics”, available at: https://www.dhmi.gov.tr/sayfalar/istatistik.aspx.
  35. Savas, S. A. (2020). Analysis of Airport Ground Access Services By Sp/Rp Model Within The Scope of Hasan Polatkan Airport Master Plan. Journal of Management Marketing and Logistics, 7(3), 143-153.
  36. Horonjeff, R., McKelvey, F. X., Sproule, W., & Young, S. (2010). Planning and design of airports (Fifth Edition). New York: McGraw-Hill.
  37.  

Article - 1

Article - 1

Sizing of a Turboprop Engine Powered High Altitude Unmanned Aerial Vehicle and It`s Propulsion System for an Assumed Mission Profile in Turkey

Ali Dinç
1. American University of the Middle East, Kuwait College of Engineering and Technology Department
F IJAST 2020; 1 (1) : 5-8; 10.23890/IJAST.vm01is01.0101; Language: EN

In this study, preliminary sizing of a turboprop engine powered high altitude unmanned aerial vehicle and it`s propulsion system for an assumed mission profile in Turkey was performed. Aircraft mission profile is one of the most important design inputs in aircraft design. While the aircraft is dimensioned according to the requirements in the specification (useful payload, range, target cost, etc.), parameters such as cruise altitude and speed within the mission profile affect the engine type, power level, fuel quantity, and therefore the overall dimensions and total weight of the aircraft. The unmanned aerial vehicle with turboprop engine investigated in this study, can stay in the air for at least 24 hours at high altitude (40000 ft) and can be used for border surveillance, coast control, forest fires and land exploration.

Unmanned aerial vehicle sizing, Turboprop engine, Gas turbine engine, Cycle analysis

  1. General Atomics Aeronautical Systems, http://www.ga-asi.com/predator-b
  2. https://www.airforcetechnology. com/projects/heron-tp-eitan-maleuav/
  3. https://www.baykarsavunma.com/iha-14.html
  4. Raymer, D.P., “Aircraft Design: A Conceptual Approach”, 3rd Edition, 1999.
  5. Dinc, A. Sizing of a Turboprop Unmanned Air Vehicle and its Propulsion System. Journal of Thermal Science and Technology, 35(2), 53-62, 2015
  6. Mattingly, J., Heiser, W., Pratt, D., Aircraft Engine Design, AIAA Series, 2002.
  7. Kerrebrock J.L., Aircraft Engines and Gas Turbines, MIT, 1984.
  8. P. P. Walsh, P.Fletcher, “Gas Turbine Performance”, 2nd Edition, 2004.
  9. Honeywell, 2014, Product Brochures, http://www51.honeywell.com/aero/common/do cuments/myaerospacecatalogdocuments/ BA_brochures-documents/TPE331- 10_PredatorB_0292-000.pdf
  10. UK Royal Air Force, 2014, Royal Air Force Reaper MALE RPAS Capability/Lessons, http://dronewarsuk.files.wordpress.com/2011/10 /rpas_symposium_reaper.pdf
Scroll to Top