| Citation: | CHENG G Y，CHEN S. Terminal operation resilience analysis based on discrete event simulation[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（11）：3310-3318 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0825
|
Improving the operation resilience of the terminal is the best way to reduce the loss of people and property in an accident, mitigate the damage, and restore its function as soon as possible. At present, there is a lack of theories and techniques for quantitatively analyzing the resilience of the terminal based on the time-varying process of operation performance indicators. First, a theoretical framework of terminal operation resilience was proposed, with a comprehensive resilience index of the terminal system, which comprehensively reflected the robustness, rapidity, and system performance loss. Then, based on discrete event simulation, the resilience variation law of the terminal operation system under two disturbance scenarios of equipment damage and personnel absence, different disturbance time, and passenger arrival rates was obtained. In addition, two resilience improvement strategies were put forward to improve security check efficiency and equipment redundancy rate. The results show that the system robustness index and performance loss index are negatively correlated with disturbance time and passenger arrival rate. For the two scenarios of equipment damage and personnel absence, improving the security check efficiency increases the comprehensive resilience level of the system from the original 0.325 and 0.054 to 0.834 and 0.913, respectively, and improving the equipment redundancy rate increases the comprehensive resilience level of the system from 0.22 to 0.638.
| [1] |
BRUNEAU M, CHANG S E, EGUCHI R T, et al. A framework to quantitatively assess and enhance the seismic resilience of communities[J]. Earthquake Spectra, 2003, 19(4): 733-752. doi: 10.1193/1.1623497
|
| [2] |
CLARK K L, BHATIA U, KODRA E A, et al. Resilience of the U. S. national airspace system airport network[J]. IEEE Transactions on Intelligent Transportation Systems, 2018, 19(12): 3785-3794. doi: 10.1109/TITS.2017.2784391
|
| [3] |
王兴隆, 刘洋. 航空多层网络弹性测度与分析[J]. 复杂系统与复杂性科学, 2020, 17(2): 31-38.
WANG X L, LIU Y. Resilience measurement and analysis of aviation multi-layer network[J]. Complex Systems and Complexity Science, 2020, 17(2): 31-38(in Chinese).
|
| [4] |
郭九霞. 新一代民航运输系统安全韧性理论与方法研究[D]. 成都: 电子科技大学, 2021.
GUO J X. Research on safety resilience theory and method for next generation air transportation system[D]. Chengdu: University of Electronic Science and Technology of China, 2021(in Chinese).
|
| [5] |
HUANG C N, LIOU J J H, LO H W, et al. Building an assessment model for measuring airport resilience[J]. Journal of Air Transport Management, 2021, 95: 102101. doi: 10.1016/j.jairtraman.2021.102101
|
| [6] |
BAO D W, ZHANG X L. Measurement methods and influencing mechanisms for the resilience of large airports under emergency events[J]. Transportmetrica A: Transport Science, 2018, 14(10): 855-880. doi: 10.1080/23249935.2018.1448016
|
| [7] |
黄润建. 基于风险交互分析的4F机场灾害韧性评价研究[D]. 广州: 暨南大学, 2020.
HUANG R J. Research on 4F airport disaster resilience evaluation based on risk interaction analysis[D]. Guangzhou: Jinan University, 2020(in Chinese).
|
| [8] |
胡明伟, 黄文柯. 行人交通仿真方法与技术[M]. 北京: 清华大学出版社, 2016: 75-79.
HU M W, HUANG W K. Pedestrian traffic simulation method and technology[M]. Beijing: Tsinghua University Press, 2016: 75-79(in Chinese).
|
| [9] |
HOLLING C S. Resilience and stability of ecological systems[J]. Annual Review of Ecology and Systematics, 1973, 4: 1-23. doi: 10.1146/annurev.es.04.110173.000245
|
| [10] |
欧阳虹彬, 叶强. 弹性城市理论演化述评: 概念、脉络与趋势[J]. 城市规划, 2016, 40(3): 34-42. doi: 10.11819/cpr20160306a
OUYANG H B, YE Q. A review on the evolution of resilient city theory: Concept, context and tendency[J]. City Planning Review, 2016, 40(3): 34-42(in Chinese). doi: 10.11819/cpr20160306a
|
| [11] |
李明捷. 机场规划与设计[M]. 北京: 中国民航出版社, 2015: 280-282.
LI M J. Airport planning and design[M]. Beijing: China Civil Aviaiton Press, 2015: 280-282(in Chinese).
|
| [12] |
王加冕, 陶翼飞, 罗俊斌, 等. 基于蒙特卡洛仿真的机场值机系统优化研究[J]. 软件导刊, 2021, 20(8): 82-86. doi: 10.11907/rjdk.202377
WANG J M, TAO Y F, LUO J B, et al. Optimization of airport check-in system based on Monte Carlo simulation[J]. Software Guide, 2021, 20(8): 82-86(in Chinese). doi: 10.11907/rjdk.202377
|
| [13] |
吴忠君. 航站楼旅客离港服务流程建模与仿真[D]. 哈尔滨: 哈尔滨工业大学, 2013: 61-63.
WU Z J. The departing service processes in terminal modeling and simulation[D]. Harbin: Harbin Institute of Technology, 2013: 61-63(in Chinese).
|
| [14] |
张浩. 航站楼离港旅客流程仿真及优化研究[D]. 广汉: 中国民用航空飞行学院, 2018: 34-36.
ZHANG H. Simulation and optimization of passenger flow in terminal building[D]. Guanghan: Civil Aviation Flight University of China, 2018: 34-36(in Chinese).
|
| [15] |
赵振武, 李新源. 基于Anylogic的机场旅客安检流程仿真与优化[J]. 中国民航大学学报, 2018, 36(5): 52-55. doi: 10.3969/j.issn.1674-5590.2018.05.011
ZHAO Z W, LI X Y. Simulation and optimization of airport passenger security screening process based on Anylogic[J]. Journal of Civil Aviation University of China, 2018, 36(5): 52-55(in Chinese). doi: 10.3969/j.issn.1674-5590.2018.05.011
|
| [16] |
COMES T, WARNIER M, FEIL W, et al. Critical airport infrastructure disaster resilience: A framework and simulation model for rapid adaptation[J]. Journal of Management in Engineering, 2020, 36(5): 04020059. doi: 10.1061/(ASCE)ME.1943-5479.0000798
|
Figures(18) / Tables(3)
Copyright © Journal of Beijing University of Aeronautics and Astronautics
Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@buaa.edu.cn
Supported by:
Beijing Renhe Information Technology Co., Ltd.
DownLoad:
