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Life Cycle Prediction of Airport Operation Based on System Dynamics

Author

Listed:
  • Lili Wan

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Zhanpeng Shan

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Xinyue Jiang

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Zhan Wang

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Yangyang Lv

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Shumeng Xu

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Jiahui Huang

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

Abstract

Traditional airport development planning often overlooks an in-depth consideration of the airport operation life cycle, which frequently causes deviations from planned objectives during operation. This paper presents a framework for predicting and segmenting the airport operation life cycle by integrating the dynamic characteristics of the System Dynamics (SD) model with the static properties of Logistic modeling to examine the development trajectory of airport operations. The influencing factors in this model are selected across three levels: airport, city, and macro-environment. A system dynamics model of airport operation is constructed using causal loop diagrams and system flow diagrams. Using Guangzhou Baiyun International Airport (CAN) as a case study, the airport’s operational capacity from 2005 to 2035 is predicted through SD simulation. Subsequently, the airport operation life cycle from 2005 to 2050 is forecasted and segmented using Logistic modeling. The results indicate that, under the standard scenario, CAN’s operational capacity experiences two declines in 2016 and 2020, attributed to airport construction and emergencies. Logistic modeling identifies three distinct life cycle phases in the airport’s operation. Furthermore, by comparing various airport operation scenarios, the analysis reveals that fluctuations in the city economy significantly impact the airport’s operational system without altering its overall development trajectory. In contrast, the occurrence of emergencies can substantially modify the airport operation life cycle.

Suggested Citation

  • Lili Wan & Zhanpeng Shan & Xinyue Jiang & Zhan Wang & Yangyang Lv & Shumeng Xu & Jiahui Huang, 2024. "Life Cycle Prediction of Airport Operation Based on System Dynamics," Sustainability, MDPI, vol. 16(21), pages 1-26, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9596-:d:1513758
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    References listed on IDEAS

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    Cited by:

    1. Guoping Tu & Zhe Zan, 2025. "The Green Paradox of New Energy Vehicles: A System Dynamics Analysis," Sustainability, MDPI, vol. 17(9), pages 1-30, April.

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