There is a number of architectural problems that airports must meet such as ensuring the circulation of passengers in terminal building quickly and shortening the time between flights. This is related to the concept of level of service (LOS) which aims to keep passengers in circulation at an affordable cost with minimum delay and maximum comfort without being exposed to congestion. LOS standards have been developed by the International Air Transport Association (IATA) for density analysis of airport terminal buildings. However, with the increase in capacities and user density, there are gradual decreases in standards with sharp boundaries, and this situation is true in the context of strict limits but does not fully reflect reality. Besides, a fuzzy assumption has been made to the issue, both due to the fact that LOS are set with different values in standards published in different years, and to allow rapid and efficient analysis of density changes in unexpected situations. Within the scope of the study, the LOS standards of the check-in areas and sub-functions which are used extensively and host a large number of passengers are modeled in matlab program by means of fuzzy logic. Four independent mathematical models were created: a design decision support model for the architectural design related to the check-in section, and three models for the check-in sub-functions, processing times and areas for business performance. In the models, output data were obtained for each input data and LOS could be determined by interpreting these outputs degree of representation.
1. ACI (2012). Guide to Airport Performance Measures. https://aci.aero/2012/02/27/aci-launches-a-guide-to-airport-performance-measures/
2. ACRP (2010). Airport Passenger Terminal Planning and Design, Volume 1: Guidebook. In Airport Passenger Terminal Planning and Design, Volume 1: Guidebook. Transportation Research Board. https://doi.org/10.17226/22964
3. Ashford, N. (1988). Level of Service Design Concept for Airport Passenger Terminals—A European View. Https://Doi.Org/10.1080/03081068808717356, 12(1), 5–21. https://doi.org/10.1080/03081068808717356
4. Ballis, A., Stathopoulos, A., & Sfakianaki, E. (2002). Sizing of Processing and Holding Air Terminal Facilities for Charter Passengers Using Simulation Tools. International Journal of Transport Management, 101–113. www.elsevier.com/locate/traman
5. Bostancioglu, E. (2020). Double skin façade assessment by fuzzy AHP and comparison with AHP. Https://Doi.Org/10.1080/17452007.2020.1735292, 17(1–2), 110–130. https://doi.org/10.1080/17452007.2020.1735292
6. Cepolina, E. M., Menichini, F., & Gonzalez Rojas, P. (2018). Level of Service of Pedestrian Facilities: Modelling Human Comfort Perception in the Evaluation of Pedestrian Behaviour Patterns. Transportation Research Part F: Traffic Psychology and Behaviour, 58, 365–381. https://doi.org/10.1016/J.TRF.2018.06.028
7. Correia, A. R., & Wirasinghe, S. C. (2007). Development of Level of Service Standards for Airport Facilities: Application to São Paulo International Airport. Journal of Air Transport Management, 13(2), 97–103. https://doi.org/10.1016/J.JAIRTRAMAN.2006.10.002
8. Correia, A. R., Wirasinghe, S. C., & de Barros, A. G. (2008). Overall Level of Service Measures for Airport Passenger Terminals. Transportation Research Part A: Policy and Practice, 42(2), 330–346. https://doi.org/10.1016/j.tra.2007.10.009
9. de Barros, A. G., Somasundaraswaran, A. K., & Wirasinghe, S. C. (2007). Evaluation of Level of Service for Transfer Passengers at Airports. Journal of Air Transport Management, 13(5), 293–298. https://doi.org/10.1016/J.JAIRTRAMAN.2007.04.004
10. Diker, F., & Erkan, İ. (2021). Fuzzy logic method in the design of elementary school classrooms. Https://Doi.Org/10.1080/17452007.2021.1910925. https://doi.org/10.1080/17452007.2021.1910925
11. di Mascio, P., Moretti, L., & Piacitelli, M. (2020). Airport Landside Sustainable Capacity and Level of Service of Terminal Functional Subsystems. Sustainability, 12(21). https://doi.org/10.3390/su12218784
12. Fonseca i Casas, P., Casanovas, J., & Ferran, X. (2014). Passenger Flow Simulation in a Hub Airport: An Application to the Barcelona International Airport. Simulation Modelling Practice and Theory, 44, 78–94. https://doi.org/10.1016/J.SIMPAT.2014.03.008
13. Horonjeff, R., McKelvey, F., Sproule, W., & Young, S. (2010). Planning and Design of Airports (5th ed.). McGraw-Hill Companies.
14. IATA (1995). Pub. L. No. 8, IATA, International Air Transport Association. ARDM, Airport development reference manual.
15. IATA (2004). Pub. L. No. 9, IATA, International Air Transport Association. ARDM, Airport development reference manual.
16. IATA (2014). Pub. L. No. 10, IATA, International Air Transport Association. ARDM, Airport development reference manual.
17. IATA (2019). Pub. L. No. 11, IATA, International Air Transport Association. ARDM, Airport development reference manual.
18. IATA (2022). Pub. L. No. 12, IATA, International Air Transport Association. ARDM, Airport development reference manual.
19. ICAO (2022). Economic Impacts of COVID-19 on Civil Aviation. Retrieved April 12, 2022, from https://www.icao.int/sustainability/Pages/Economic-Impacts-of-COVID-19.aspx
20. Jim, H. K., & Chang, Z. Y. (1998). An Airport Passenger Terminal Simulator: A Planning and Design Tool. Simulation Practice and Theory, 6(4), 387–396. https://doi.org/10.1016/S0928-4869(97)00018-9
21. Kalakou, S., & Moura, F. (2021). Analyzing Passenger Behavior in Airport Terminals based on Activity Preferences. Journal of Air Transport Management, 96, 102110. https://doi.org/10.1016/J.JAIRTRAMAN.2021.102110
22. Kazda, A., & Caves, R. E. (2015). Airport Design and Operation (3rd ed.).
23. Kim, W., Park, Y., & Jong Kim, B. (2004). Estimating Hourly Variations in Passenger Volume at Airports Using Dwelling Time Distributions. Journal of Air Transport Management, 10(6), 395–400. https://doi.org/10.1016/J.JAIRTRAMAN.2004.06.009
24. Kıyıldı, R. K., & Karaşahin, M. (2008). The Capacity Analysis of the Check-in Unit of Antalya Airport Using the Fuzzy Logic Method. Transportation Research Part A: Policy and Practice, 42(4), 610–619. https://doi.org/10.1016/J.TRA.2008.01.004
25. Klir, G. J., & Yuan, Bo. (1995). Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall PTR.
26. Lemer, A. C. (1992). Measuring Performance of Airport Passenger Terminals. Transportation Research Part A: Policy and Practice, 26(1), 37–45. https://doi.org/10.1016/0965-8564(92)90043-7
27. Liu, X., Li, L., Liu, X., Zhang, T., Rong, X., Yang, L., & Xiong, D. (2018). Field Investigation on Characteristics of Passenger Flow in a Chinese Hub Airport Terminal. Building and Environment, 133, 51–61. https://doi.org/10.1016/J.BUILDENV.2018.02.009
28. Li, Y., Cai, W., & Kana, A. A. (2019). Design of Level of Service on Facilities for Crowd Evacuation Using Genetic Algorithm Optimization. Safety Science, 120, 237–247. https://doi.org/10.1016/J.SSCI.2019.06.044
29. Mcneill, F. M., & Thro, E. (1994). Fuzzy Logic A Practical Approach. Morgan Kaufmann Publishers.
30. Park, Y. (1999). A Methodology for Establishing Operational Standards of Airport Passenger Terminals. Journal of Air Transport Management, 5(2), 73–80. https://doi.org/10.1016/S0969-6997(98)00040-4
31. Roanes-Lozano, E., Laita, L. M., & Roanes-Macías, E. (2004). An Accelerated-time Simulation of Departing Passengers’ Flow in Airport Terminals. Mathematics and Computers in Simulation, 67(1–2), 163–172. https://doi.org/10.1016/J.MATCOM.2004.05.016
32. Ronzani Borille, G. M., & Correia, A. R. (2013). A Method for Evaluating the Level of Service Arrival Components at Airports. Journal of Air Transport Management, 27, 5–10. https://doi.org/10.1016/J.JAIRTRAMAN.2012.10.008
33. Ross, T. J. (2010). Fuzzy Logic with Engineering Applications (3rd ed.). John Wiley & Sons.
34. Singer, H., & Özşahin, Ş. (2021). Prioritization of laminate flooring selection criteria from experts’ perspectives: a spherical fuzzy AHP-based model. Https://Doi.Org/10.1080/17452007.2021.1956421. https://doi.org/10.1080/17452007.2021.1956421
35. Solak, S., Clarke, J. P. B., & Johnson, E. L. (2009). Airport Terminal Capacity Planning. Transportation Research Part B: Methodological, 43(6), 659–676. https://doi.org/10.1016/J.TRB.2009.01.002
36. Stolletz, R. (2011). Analysis of Passenger Queues at Airport Terminals. Research in Transportation Business & Management, 1(1), 144–149. https://doi.org/10.1016/J.RTBM.2011.06.012
37. Thampan, A., Sinha, K., Gurjar, B. R., & Rajasekar, E. (2020). Functional Efficiency in Airport Terminals: A review on Overall and Stratified Service Quality. Journal of Air Transport Management, 87, 101837. https://doi.org/10.1016/J.JAIRTRAMAN.2020.101837
38. Tošić, V. (1992). A Review of Airport Passenger Terminal Operations Analysis and Modelling. Transportation Research Part A: Policy and Practice, 26(1), 3–26. https://doi.org/10.1016/0965-8564(92)90041-5
39. Waltert, M., Wicki, J., Jimenez Perez, E., & Pagliari, R. (2021). Ratio-based Design Hour Determination for Airport Passenger Terminal Facilities. Journal of Air Transport Management, 96, 102125. https://doi.org/10.1016/J.JAIRTRAMAN.2021.102125
40. Yen, J.-R., Teng, C.-H., & Chen, P. S. (2001). Measuring the Level of Services at Airport Passenger Terminals. Transportation Research Record , 17–23.
41. Zadeh, L. (1965). Fuzzy Sets. Information and Control, 8, 338–353.
1. ACI (2012). Guide to Airport Performance Measures. https://aci.aero/2012/02/27/aci-launches-a-guide-to-airport-performance-measures/
2. ACRP (2010). Airport Passenger Terminal Planning and Design, Volume 1: Guidebook. In Airport Passenger Terminal Planning and Design, Volume 1: Guidebook. Transportation Research Board. https://doi.org/10.17226/22964
3. Ashford, N. (1988). Level of Service Design Concept for Airport Passenger Terminals—A European View. Https://Doi.Org/10.1080/03081068808717356, 12(1), 5–21. https://doi.org/10.1080/03081068808717356
4. Ballis, A., Stathopoulos, A., & Sfakianaki, E. (2002). Sizing of Processing and Holding Air Terminal Facilities for Charter Passengers Using Simulation Tools. International Journal of Transport Management, 101–113. www.elsevier.com/locate/traman
5. Bostancioglu, E. (2020). Double skin façade assessment by fuzzy AHP and comparison with AHP. Https://Doi.Org/10.1080/17452007.2020.1735292, 17(1–2), 110–130. https://doi.org/10.1080/17452007.2020.1735292
6. Cepolina, E. M., Menichini, F., & Gonzalez Rojas, P. (2018). Level of Service of Pedestrian Facilities: Modelling Human Comfort Perception in the Evaluation of Pedestrian Behaviour Patterns. Transportation Research Part F: Traffic Psychology and Behaviour, 58, 365–381. https://doi.org/10.1016/J.TRF.2018.06.028
7. Correia, A. R., & Wirasinghe, S. C. (2007). Development of Level of Service Standards for Airport Facilities: Application to São Paulo International Airport. Journal of Air Transport Management, 13(2), 97–103. https://doi.org/10.1016/J.JAIRTRAMAN.2006.10.002
8. Correia, A. R., Wirasinghe, S. C., & de Barros, A. G. (2008). Overall Level of Service Measures for Airport Passenger Terminals. Transportation Research Part A: Policy and Practice, 42(2), 330–346. https://doi.org/10.1016/j.tra.2007.10.009
9. de Barros, A. G., Somasundaraswaran, A. K., & Wirasinghe, S. C. (2007). Evaluation of Level of Service for Transfer Passengers at Airports. Journal of Air Transport Management, 13(5), 293–298. https://doi.org/10.1016/J.JAIRTRAMAN.2007.04.004
10. Diker, F., & Erkan, İ. (2021). Fuzzy logic method in the design of elementary school classrooms. Https://Doi.Org/10.1080/17452007.2021.1910925. https://doi.org/10.1080/17452007.2021.1910925
11. di Mascio, P., Moretti, L., & Piacitelli, M. (2020). Airport Landside Sustainable Capacity and Level of Service of Terminal Functional Subsystems. Sustainability, 12(21). https://doi.org/10.3390/su12218784
12. Fonseca i Casas, P., Casanovas, J., & Ferran, X. (2014). Passenger Flow Simulation in a Hub Airport: An Application to the Barcelona International Airport. Simulation Modelling Practice and Theory, 44, 78–94. https://doi.org/10.1016/J.SIMPAT.2014.03.008
13. Horonjeff, R., McKelvey, F., Sproule, W., & Young, S. (2010). Planning and Design of Airports (5th ed.). McGraw-Hill Companies.
14. IATA (1995). Pub. L. No. 8, IATA, International Air Transport Association. ARDM, Airport development reference manual.
15. IATA (2004). Pub. L. No. 9, IATA, International Air Transport Association. ARDM, Airport development reference manual.
16. IATA (2014). Pub. L. No. 10, IATA, International Air Transport Association. ARDM, Airport development reference manual.
17. IATA (2019). Pub. L. No. 11, IATA, International Air Transport Association. ARDM, Airport development reference manual.
18. IATA (2022). Pub. L. No. 12, IATA, International Air Transport Association. ARDM, Airport development reference manual.
19. ICAO (2022). Economic Impacts of COVID-19 on Civil Aviation. Retrieved April 12, 2022, from https://www.icao.int/sustainability/Pages/Economic-Impacts-of-COVID-19.aspx
20. Jim, H. K., & Chang, Z. Y. (1998). An Airport Passenger Terminal Simulator: A Planning and Design Tool. Simulation Practice and Theory, 6(4), 387–396. https://doi.org/10.1016/S0928-4869(97)00018-9
21. Kalakou, S., & Moura, F. (2021). Analyzing Passenger Behavior in Airport Terminals based on Activity Preferences. Journal of Air Transport Management, 96, 102110. https://doi.org/10.1016/J.JAIRTRAMAN.2021.102110
22. Kazda, A., & Caves, R. E. (2015). Airport Design and Operation (3rd ed.).
23. Kim, W., Park, Y., & Jong Kim, B. (2004). Estimating Hourly Variations in Passenger Volume at Airports Using Dwelling Time Distributions. Journal of Air Transport Management, 10(6), 395–400. https://doi.org/10.1016/J.JAIRTRAMAN.2004.06.009
24. Kıyıldı, R. K., & Karaşahin, M. (2008). The Capacity Analysis of the Check-in Unit of Antalya Airport Using the Fuzzy Logic Method. Transportation Research Part A: Policy and Practice, 42(4), 610–619. https://doi.org/10.1016/J.TRA.2008.01.004
25. Klir, G. J., & Yuan, Bo. (1995). Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall PTR.
26. Lemer, A. C. (1992). Measuring Performance of Airport Passenger Terminals. Transportation Research Part A: Policy and Practice, 26(1), 37–45. https://doi.org/10.1016/0965-8564(92)90043-7
27. Liu, X., Li, L., Liu, X., Zhang, T., Rong, X., Yang, L., & Xiong, D. (2018). Field Investigation on Characteristics of Passenger Flow in a Chinese Hub Airport Terminal. Building and Environment, 133, 51–61. https://doi.org/10.1016/J.BUILDENV.2018.02.009
28. Li, Y., Cai, W., & Kana, A. A. (2019). Design of Level of Service on Facilities for Crowd Evacuation Using Genetic Algorithm Optimization. Safety Science, 120, 237–247. https://doi.org/10.1016/J.SSCI.2019.06.044
29. Mcneill, F. M., & Thro, E. (1994). Fuzzy Logic A Practical Approach. Morgan Kaufmann Publishers.
30. Park, Y. (1999). A Methodology for Establishing Operational Standards of Airport Passenger Terminals. Journal of Air Transport Management, 5(2), 73–80. https://doi.org/10.1016/S0969-6997(98)00040-4
31. Roanes-Lozano, E., Laita, L. M., & Roanes-Macías, E. (2004). An Accelerated-time Simulation of Departing Passengers’ Flow in Airport Terminals. Mathematics and Computers in Simulation, 67(1–2), 163–172. https://doi.org/10.1016/J.MATCOM.2004.05.016
32. Ronzani Borille, G. M., & Correia, A. R. (2013). A Method for Evaluating the Level of Service Arrival Components at Airports. Journal of Air Transport Management, 27, 5–10. https://doi.org/10.1016/J.JAIRTRAMAN.2012.10.008
33. Ross, T. J. (2010). Fuzzy Logic with Engineering Applications (3rd ed.). John Wiley & Sons.
34. Singer, H., & Özşahin, Ş. (2021). Prioritization of laminate flooring selection criteria from experts’ perspectives: a spherical fuzzy AHP-based model. Https://Doi.Org/10.1080/17452007.2021.1956421. https://doi.org/10.1080/17452007.2021.1956421
35. Solak, S., Clarke, J. P. B., & Johnson, E. L. (2009). Airport Terminal Capacity Planning. Transportation Research Part B: Methodological, 43(6), 659–676. https://doi.org/10.1016/J.TRB.2009.01.002
36. Stolletz, R. (2011). Analysis of Passenger Queues at Airport Terminals. Research in Transportation Business & Management, 1(1), 144–149. https://doi.org/10.1016/J.RTBM.2011.06.012
37. Thampan, A., Sinha, K., Gurjar, B. R., & Rajasekar, E. (2020). Functional Efficiency in Airport Terminals: A review on Overall and Stratified Service Quality. Journal of Air Transport Management, 87, 101837. https://doi.org/10.1016/J.JAIRTRAMAN.2020.101837
38. Tošić, V. (1992). A Review of Airport Passenger Terminal Operations Analysis and Modelling. Transportation Research Part A: Policy and Practice, 26(1), 3–26. https://doi.org/10.1016/0965-8564(92)90041-5
39. Waltert, M., Wicki, J., Jimenez Perez, E., & Pagliari, R. (2021). Ratio-based Design Hour Determination for Airport Passenger Terminal Facilities. Journal of Air Transport Management, 96, 102125. https://doi.org/10.1016/J.JAIRTRAMAN.2021.102125
40. Yen, J.-R., Teng, C.-H., & Chen, P. S. (2001). Measuring the Level of Services at Airport Passenger Terminals. Transportation Research Record , 17–23.
41. Zadeh, L. (1965). Fuzzy Sets. Information and Control, 8, 338–353.
Pakdamar, F., & Süalp, Ç. (2023). MODELING OF AIRPORT CHECK-IN UNITS ARCHITECTURAL DESIGN AND PROCESSING TIME STANDARDS WITH FUZZY APPROACH. Bartın University International Journal of Natural and Applied Sciences, 6(2), 157-167. https://doi.org/10.55930/jonas.1274797
AMA
Pakdamar F, Süalp Ç. MODELING OF AIRPORT CHECK-IN UNITS ARCHITECTURAL DESIGN AND PROCESSING TIME STANDARDS WITH FUZZY APPROACH. JONAS. Aralık 2023;6(2):157-167. doi:10.55930/jonas.1274797
Chicago
Pakdamar, Ferhat, ve Çetin Süalp. “MODELING OF AIRPORT CHECK-IN UNITS ARCHITECTURAL DESIGN AND PROCESSING TIME STANDARDS WITH FUZZY APPROACH”. Bartın University International Journal of Natural and Applied Sciences 6, sy. 2 (Aralık 2023): 157-67. https://doi.org/10.55930/jonas.1274797.
EndNote
Pakdamar F, Süalp Ç (01 Aralık 2023) MODELING OF AIRPORT CHECK-IN UNITS ARCHITECTURAL DESIGN AND PROCESSING TIME STANDARDS WITH FUZZY APPROACH. Bartın University International Journal of Natural and Applied Sciences 6 2 157–167.
IEEE
F. Pakdamar ve Ç. Süalp, “MODELING OF AIRPORT CHECK-IN UNITS ARCHITECTURAL DESIGN AND PROCESSING TIME STANDARDS WITH FUZZY APPROACH”, JONAS, c. 6, sy. 2, ss. 157–167, 2023, doi: 10.55930/jonas.1274797.
ISNAD
Pakdamar, Ferhat - Süalp, Çetin. “MODELING OF AIRPORT CHECK-IN UNITS ARCHITECTURAL DESIGN AND PROCESSING TIME STANDARDS WITH FUZZY APPROACH”. Bartın University International Journal of Natural and Applied Sciences 6/2 (Aralık 2023), 157-167. https://doi.org/10.55930/jonas.1274797.
JAMA
Pakdamar F, Süalp Ç. MODELING OF AIRPORT CHECK-IN UNITS ARCHITECTURAL DESIGN AND PROCESSING TIME STANDARDS WITH FUZZY APPROACH. JONAS. 2023;6:157–167.
MLA
Pakdamar, Ferhat ve Çetin Süalp. “MODELING OF AIRPORT CHECK-IN UNITS ARCHITECTURAL DESIGN AND PROCESSING TIME STANDARDS WITH FUZZY APPROACH”. Bartın University International Journal of Natural and Applied Sciences, c. 6, sy. 2, 2023, ss. 157-6, doi:10.55930/jonas.1274797.
Vancouver
Pakdamar F, Süalp Ç. MODELING OF AIRPORT CHECK-IN UNITS ARCHITECTURAL DESIGN AND PROCESSING TIME STANDARDS WITH FUZZY APPROACH. JONAS. 2023;6(2):157-6.