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Airport terminal capacity planning

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  • Solak, Senay
  • Clarke, John-Paul B.
  • Johnson, Ellis L.

Abstract

The airport terminal capacity planning problem deals with determining the optimal design and expansion capacities for different areas of the terminal in the presence of uncertainty with regards to future demand levels and expansion costs. Analytical modeling of passenger flow in airport terminals under transient demand patterns is especially difficult due to the complex structure of a terminal. Because of this difficulty, the airport terminal capacity planning problem has not been studied in a holistic fashion, such that studies in this area either do not account for expandability or focus only on one particular area of the terminal. In this study, we consider the airport terminal capacity planning problem as a whole. In this regard, we first derive time functions to approximate maximum delays in passageways and processing stations of an airport terminal. We then use these delay functions to develop a multistage stochastic programming model based on a multicommodity flow network representation of the whole airport terminal. The solution of the model, for which we develop an efficient solution algorithm, provides optimal capacity requirements for each area in an airport terminal during the initial building phase, as well as the optimal expansion policy under stochastic future demand. The results of the study are applicable to all similar queuing networks, including other types of passenger terminals.

Suggested Citation

  • Solak, Senay & Clarke, John-Paul B. & Johnson, Ellis L., 2009. "Airport terminal capacity planning," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 659-676, July.
    • Handle: RePEc:eee:transb:v:43:y:2009:i:6:p:659-676
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    References listed on IDEAS

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    1. Swaminathan, Jayashankar M., 2000. "Tool capacity planning for semiconductor fabrication facilities under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 120(3), pages 545-558, February.
    2. Hamzawi, Salah G., 1992. "Lack of airport capacity: Exploration of alternative solutions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 26(1), pages 47-58, January.
    3. Wirasinghe, S. C. & Bandara, S., 1990. "Airport gate position estimation for minimum total costs--Approximate closed form solution," Transportation Research Part B: Methodological, Elsevier, vol. 24(4), pages 287-297, August.
    4. Guglielmo Lulli & Suvrajeet Sen, 2004. "A Branch-and-Price Algorithm for Multistage Stochastic Integer Programming with Application to Stochastic Batch-Sizing Problems," Management Science, INFORMS, vol. 50(6), pages 786-796, June.
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    7. Sungwook Yoon & Sukjae Jeong, 2016. "RETRACTED: Carbon Emission Mitigation Potentials of Different Policy Scenarios and Their Effects on International Aviation in the Korean Context," Sustainability, MDPI, vol. 8(11), pages 1-21, November.
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    9. Amor Chowdhury & Saša Klampfer & Klemen Sredenšek & Sebastijan Seme & Miralem Hadžiselimović & Bojan Štumberger, 2022. "Method for Planning, Optimizing, and Regulating EV Charging Infrastructure," Energies, MDPI, vol. 15(13), pages 1-32, June.
    10. Bakker, Hannah & Dunke, Fabian & Nickel, Stefan, 2020. "A structuring review on multi-stage optimization under uncertainty: Aligning concepts from theory and practice," Omega, Elsevier, vol. 96(C).
    11. Wu, Paul Pao-Yen & Mengersen, Kerrie, 2013. "A review of models and model usage scenarios for an airport complex system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 124-140.
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    13. Sun, Yanshuo & Schonfeld, Paul, 2015. "Stochastic capacity expansion models for airport facilities," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 1-18.

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