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Assessing airport terminal performance using a system dynamics model

Author

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  • Manataki, Ioanna E.
  • Zografos, Konstantinos G.

Abstract

Current models for airport terminal performance assessment require substantial modeling effort to be customized to the configuration of a particular airport terminal and to reflect adequately the alternative airport operational policies adopted in a user-friendly way. Therefore, there is a need to develop a generic, yet flexible decision-support tool that will facilitate high-level decision-making related to fundamental changes in the structure and operation of the airport terminal system. This paper presents a generic and easily customizable system dynamics based tool for assessing the performance of the Athens International Airport passenger terminal under different demand and resource deployment scenaria.

Suggested Citation

  • Manataki, Ioanna E. & Zografos, Konstantinos G., 2010. "Assessing airport terminal performance using a system dynamics model," Journal of Air Transport Management, Elsevier, vol. 16(2), pages 86-93.
    • Handle: RePEc:eee:jaitra:v:16:y:2010:i:2:p:86-93
    DOI: 10.1016/j.jairtraman.2009.10.007
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    Citations

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    Cited by:

    1. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.
    2. Weiwei Lin & Jing Lu & Jinfu Zhu & Li Xu, 2022. "Research on the Sustainable Development and Dynamic Capabilities of China’s Aircraft Leasing Industry Based on System Dynamics Theory," Sustainability, MDPI, vol. 14(3), pages 1-19, February.
    3. Rothfeld, Raoul & Straubinger, Anna & Paul, Annika & Antoniou, Constantinos, 2019. "Analysis of European airports’ access and egress travel times using Google Maps," Transport Policy, Elsevier, vol. 81(C), pages 148-162.
    4. 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.
    5. Kierzkowski, Artur & Kisiel, Tomasz, 2017. "Simulation model of security control system functioning: A case study of the Wroclaw Airport terminal," Journal of Air Transport Management, Elsevier, vol. 64(PB), pages 173-185.
    6. Changhee Kim & Hongsuk Yang & Soo Wook Kim, 2018. "Optimal baggage sorting rule to reduce waiting time in baggage claim," Service Business, Springer;Pan-Pacific Business Association, vol. 12(2), pages 435-451, June.
    7. Rohit Kumar Singh & Sachin Modgil & Padmanav Acharya, 2019. "Assessment of Supply Chain Flexibility Using System Dynamics Modeling," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 39-63, December.
    8. Rodríguez-Sanz, à lvaro & Fernández de Marcos, Alberto & Pérez-Castán, Javier A. & Comendador, Fernando Gómez & Arnaldo Valdés, Rosa & París Loreiro, à ngel, 2021. "Queue behavioural patterns for passengers at airport terminals: A machine learning approach," Journal of Air Transport Management, Elsevier, vol. 90(C).
    9. Sungwook Yoon & Sukjae Jeong, 2016. "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.
    10. Bezerra, George C.L. & Gomes, Carlos F., 2018. "Performance measurement practices in airports: Multidimensionality and utilization patterns," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 113-125.

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