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Evolution Game and Simulation Analysis of Disturbance Emergency Disposal of In-Flight Cabin: China Civil Aviation Security Strategy Study

Author

Listed:
  • Yu Wu

    (College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China)

  • Shiting He

    (College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China)

  • Qingsong Zhang

    (College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China)

  • Jinxin Shi

    (Cabin Academy, Civil Aviation University of China, Tianjin 300300, China)

  • Jiang Xie

    (Research Institute of Science of Technology, Civil Aviation University of China, Tianjin 300300, China)

Abstract

The disturbance of disruptive passengers in the cabin seriously affects aviation security in China. Reducing the occurrence of disturbances in the cabin is an inevitable choice to strengthen the security of civil aviation in China and improve the emergency disposal of airlines. Therefore, this paper investigates the strength of government support, the benefits of cooperation and the punishment of disposers, and uses the event tree method to analyze the relevant subjects affecting the consequences of cabin disruptions. To this end, a cabin disturbance emergency management game model comprised of regulatory authority, airline security and disruptive passengers was then established. The results of the game playing and simulation highlight the inherent relationships in emergency management in China’s civil aviation. First, the choice of behavior of the regulatory authority and disruptive passengers are mainly influenced by the strategy of airline security. Second, the strength of support from the regulatory authority determines whether the airline security can dispose of the passengers successfully. Third, the disruptive inclination of disruptive passengers is directly influenced by the intensity of punishment by airport police. Finally, an empirical analysis and simulation is conducted with the example of using an open flame or smoking in the cabin. This study provides new ideas for enhancing aviation security and improving emergency management.

Suggested Citation

  • Yu Wu & Shiting He & Qingsong Zhang & Jinxin Shi & Jiang Xie, 2023. "Evolution Game and Simulation Analysis of Disturbance Emergency Disposal of In-Flight Cabin: China Civil Aviation Security Strategy Study," Sustainability, MDPI, vol. 15(11), pages 1-24, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:9029-:d:1162953
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    References listed on IDEAS

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    1. Man Zhou & Xiancong Chen & Lei He & Franck Aristide Kiswendsida Ouedraogo, 2022. "Dual-Attitude Decision-Making Processes of Construction Worker Safety Behaviors: A Simulation-Based Approach," IJERPH, MDPI, vol. 19(21), pages 1-18, November.
    2. Yuechao Chao & Gang Wang, 2023. "Analyzing the Effects of Governmental Policy and Solar Power on Facilitating Carbon Neutralization in the Context of Energy Transition: A Four-Party Evolutionary Game Study," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    3. Dando, Coral J. & Ormerod, Thomas C., 2020. "Aviation security by consent using the Controlled Cognitive Engagement (CCE) alternative screening programme," Journal of Air Transport Management, Elsevier, vol. 86(C).
    4. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    5. Paul McFarlane, 2020. "Linking aviation security failures to human-mediated error. A review of the related literatures with directions for policy and research," Journal of Transportation Security, Springer, vol. 13(1), pages 33-51, June.
    6. Wenwen Xu & Nurfaradilla Mohamad Nasri & Khairul Azhar Jamaludin, 2023. "In-Flight Infection Prevention and Control Training for Cabin Crew in China: A Qualitative Study," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    7. Huiyan Zhao & Haijun Wang & Shutong Jin & Zitong He, 2023. "Evolutionary Game and Simulation Analysis of Collaborative Innovation Mechanisms of Industrial Internet Platform-Based Ecosystem," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    8. Katherine Di-Anna Bell, 2022. "An evaluation into the causes of perpetual disruptive passenger behavior," Journal of Transportation Security, Springer, vol. 15(1), pages 1-22, June.
    9. Xiaoling Xiong & Jizhi Li & Zejian Lin, 2023. "Evolutionary Game and Simulation Analysis of Participating Subjects in Remediation of Heavy Metal Contaminated Cultivated Land under the Ladder Multiple Supervision Model," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    10. Dennis Keiser & Michael Arenz & Michael Freitag & Matthias Reiß, 2023. "Method to Model the Environmental Impacts of Aircraft Cabin Configurations during the Operational Phase," Sustainability, MDPI, vol. 15(6), pages 1-27, March.
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