Departure Passenger Flow Simulation: Case Study on Izmir Adnan Menderes Airport Pre and Post COVID-19

Yıl 2021, , 43 - 51, 30.09.2021

Savaş S. Ateş , Gökhan Koç , Talha Koç Mustafa Bolat

https://doi.org/10.18100/ijamec.928696

Öz

The flow of departing passengers from the airport inside the terminal is affected by strategic and tactical decisions of airport operation teams. The decisions made by the managers regarding opening and closing times of check-in, boarding, and gates are critical to optimize the performance of the terminal operation. In this research, Izmir Adnan Menderes Airport was taken as a use case.Departure terminal building of check-in, security control, and boarding gates was taken as the focus entities.The simulation passenger input data were produced for check-in, security, and boarding gates using different distribution probability methodologies to match the actual data. Three days of data (300 flights, 3 thousand passengers) has been derived with the help of a custom generator. A unique simulation tool called Departure Passenger Flow Simulator (DPFs) has been developed for research. Due to manage passenger flow pre and post COVID-19, the opening and closing times of assets (check-in and gates) were simulated in 6 iterations in DPFs in 3 different scenarios. As a result of the research, it was understood that the resources for Izmir Adnan Menderes Airport were sufficient, considering the COVID-19 measures published by the European Aviation Safety Agency (EASA) and the General Directorate of Civil Aviation.

Anahtar Kelimeler

Arrival pattern, Covid-19 effect, Crowd analysis, Passenger flow, Passenger density, Simulation

Kaynakça

• IATA, Airport Development Reference Manuel, Montreal: International Air Transport Association, 2004.
• D. Novrisal, N. Wahyuni, N. Hamani, A. Elmhamedi, and T. P. Soemardi, "Simulation of departure terminal in Soekarno-Hatta International Airport.," in IEEE International Conference on Industrial Engineering and Engineering Management, 2013.
• S. Takakuwa, T. Oyama ve S. Chick, «Simulation analysis of international-departure passenger flows in an airport terminal.,» %1 içinde Winter Simulation Conference, 2003.
• P. E. Joustra and N. M. Van Dijk, "Simulation of check-in at airports," in Proceeding of the 2001 Winter Simulation Conference, 2001.
• H. W. Chun ve R. W. T. Mak, «Intelligent resource simulation for an airport check-in counter allocation system,» IEEE Transactions on Systems, Man, and Cybernetics, Part C, cilt 29, no. 3, p. 325–335, 1999.
• G. Bruno, A. Diglio, A. Genovese ve C. Piccolo, «A decision support system to improve performances of airport check-in services,» Soft Computing, cilt 23, p. 2877–2886, 2019.
• J. Galanda, E. Jenxová ve P. Košcák, «3D modeling and simulation of the check-in process using information technology,» %1 içinde NTinAD 2019 - New Trends in Aviation Development 2019 - 14th International Scientific Conference, 2019.
• P. S. W. Rolim, A. R. Correia ve G. M. R. Borille, «A method to evaluate determinant factors on airport check-in level of service,» %1 içinde Institution of Civil Engineers-Transport, 2020.
• M. B. Salter, «SeMS and sensibility: Security Management Systems and the Management of Risk in the Canadian Air Transport Security Authority,» Journal of Air Transport Management, pp. 389-398, 2007.
• A. G. Nikolaev, A. J. Lee ve S. H. Jacobson, «Optimal aviation security screening strategies with dynamic passenger risk updates,» IEEE Transactions on intelligent transportation systems, cilt 13, no. 1, pp. 203-212, 2011.
• J. Skorupski ve P. Uchroński, «Managing the process of passenger security control at an airport using the fuzzy inference system,» Expert Systems with Applications, cilt 54, p. 284–293, 2016.
• M. LINZ, «Scenarios for the aviation industry: A Delphi-based analysis for 2025,» Journal of Air Transport Management, pp. 28-35, 2012.
• M. Üzülmez ve A. S. Savaş, «Investigating Critical Points Of Cybersecurity At Airports Against Terror Attack,» İstanbul, 2017.
• C.-H. Wang, «Arena Simulation for Aviation Passenger Security-Check Systems,» Genetic and Evolutionary Computing, p. 95–102, 2016.
• D. R. Pendergraft, C. V. Robertson ve S. Shrader, «Simulation of an airport passenger security system,» %1 içinde In Proceedings of the 2004 Winter Simulation Conference, 2004.
• E. Bachmat, D. Berend, L. Sapir, S. Skiena ve N. Stolyarov, «Analysis of Airplane Boarding Times,» Operation Research, 2009.
• G. Notomista, M. Selvaggio, F. Sbrizzi, G. D. Maio, S. Grazioso ve M. Botsch, «A fast airplane boarding strategy using online seat assignment based on passenger classification,» Journal of Air Transport Management, pp. 140-149, 2016.
• A. Steiner ve M. Philipp, «Speeding up the airplane boarding process by using pre-boarding areas,» %1 içinde 9th Swiss Transport Research Conference, Ascona, 9-11 September , Zurich, 2009.
• ICAO, «Effects of Novel Coronavirus (COVID‐19) on Civil Aviation: Economic Impact Analysis,» ICAO Economic Development – Air Transport Bureau, Montreal, 2021.
• DHMİ, «2019 Havayolu Sektör Raporu,» Devlet Hava Meydanları İşletmesi Genel Müdürlüğü, Ankara, 2019.
• ICAO b, «Doc 10144 ICAOHandbook for CAAs on the Management of Aviation Safety Risks related to COVID-19,» International Civil Aviation Organization, Montreal, 2020.
• A. Kierzkowski ve T. Kisiel, «Simulation model of security control lane operation in the state of the COVID-19 epidemic,» Journal of Transportation Management, cilt 88, 2020.
• M. Savrasovs, A. Medvedev ve E. Sincova, «Rıga Aırport Baggage Handlıng System Sımulatıon,» %1 içinde 23rd European Conference on Modelling and Simulation, 2009.
• Rockwell, Arena Basic User's Guide, Rockwell Software, 2002.
• F. Ersöz, Benzetim ve Modelleme, Seçkin Yayıncılık, 2019.
• Y. C. L. Ho ve X. R. Cao, Perturbation analysis of discrete event dynamic systems, Springer Science & Business Media, 2012.
• F. Ersöz, Benzetim ve Modelleme, Ankara: Seçkin Teknik, 2019.
• J. N. Perry, A. M. Liebhold, M. S. Rosenberg, J. Dungan, M. Miriti, A. Jakomulska ve S. Citron‐Pousty, «Illustrations and guidelines for selecting statistical methods for quantifying spatial pattern in ecological data.,» 2002.