Resilience is the ability of a system to withstand and stay operational in the face of an unexpected disturbance or unpredicted changes. Recent studies on air transport system resilience focus on topology characteristics after the disturbance and measure the robustness of the network with respect to connectivity. The dynamic processes occurring at the node and link levels are often ignored. Here we analyze airport network resilience by considering both structural and dynamical aspects. We develop a simulation model to study the operational performance of the air transport system when airports operate at degraded capacity rather than completely shutting down. Our analyses show that the system deteriorates soon after disruptive events occur but returns to an acceptable level after a period of time. Static resilience of the airport network is captured by a phase transition in which a small change to airport capacity will result in a sharp change in system punctuality. After the phase transition point, decreasing airport capacity has little impact on system performance. Critical airports which have significant influence on the performance of whole system are identified, and we find that some of these cannot be detected based on the analysis of network structural indicators alone. Our work shows that air transport system’s resilience can be well understood by combining network science and operational dynamics.
类型: 期刊论文
作者: Yanjun WANG,Jianming ZHAN,Xinhua XU,Lishuai LI,Ping CHEN,Mark HANSEN
来源: Chinese Journal of Aeronautics 2019年12期
年度: 2019
分类: 工程科技Ⅱ辑
专业: 航空航天科学与工程
单位: College of Civil Aviation, Nanjing University of Aeronautics and Astronautics,Department of Aeronautics and Astronautics, Massachusetts Institute of Technology,Air Traffic Management Bureau,Xiamen Airlines,Department of Systems Engineering and Engineering Management, City University of Hong Kong,State Key Laboratory of Air Traffic Management System and Technology,Department of Civil and Environmental Engineering, University of California
基金: supported by the National Natural Science Foundation of China (Nos. 61773203,U1833126,61304190),the Open Funds of Graduate Innovation Base (Lab) of Nanjing University of Aeronautics and Astronautics of China (No. kfjj20180703),the State Key Laboratory of Air Traffic Management System and Technology of China (No. SKLATM201707),the Hong Kong Research Grant Council General Research Fund of China (No. 11209717)
分类号: V35
页码: 2694-2705
总页数: 12
文件大小: 8728K
下载量: 22
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