Dynamics of disruption and recovery in air transportation networks
Dynamics of disruption and recovery in air transportation networks
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DOI：
10.1007/s13272-021-00521-x
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发表时间：
2021-07
影响因子：
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通讯作者：
Max Z. Li;Karthik Gopalakrishnan;H. Balakrishnan;S. Shin;D. Jalan;Aritro Nandi;Lavanya Marla
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文献类型：
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作者：
Max Z. Li;Karthik Gopalakrishnan;H. Balakrishnan;S. Shin;D. Jalan;Aritro Nandi;Lavanya Marla
当天气、设备故障或拥堵等破坏性事件造成系统容量和需求之间不平衡时，航空运输系统就会出现航班延误。这些中断和随后恢复的循环可以从动态系统的角度来看：外源输入（对流天气、空域限制等）会扰乱系统，导致系统最终恢复的延迟和低效率。我们通过状态空间表示来研究这些中断和恢复周期，该表示捕获了机场延误的严重性和空间影响。特别是，使用 2008 年至 2017 年美国机场延误数据，我们首先确定了具有代表性的中断和恢复周期。这些代表性周期提供了对系统中断和恢复的常见操作模式的见解。我们还将这些代表性周期与特定的非名义事件（例如机场中断）联系起来，并阐明各种非名义事件的不同中断恢复路径。最后，我们探讨了系统何时、如何被破坏以及随后的恢复的时间趋势。
Flight delays occur in the air transportation system when disruptive events such as weather, equipment outage, or congestion create an imbalance between system capacity and demand. These cycles of disruptions and subsequent recoveries can be viewed from a dynamical systems perspective: exogenous inputs (convective weather, airspace restrictions, etc.)disruptthe system, inducing delays and inefficiencies from which the system eventuallyrecovers. We study these disruption and recovery cycles through a state-space representation that captures the severity and spatial impact of airport delays. In particular, using US airport delay data from 2008 to 2017, we first identify representative disruption and recovery cycles. These representative cycles provide insights into the common operational patterns of disruptions and recoveries in the system. We also relate these representative cycles to specific off-nominal events such as airport outages, and elucidate the differing disruption–recovery pathways for various off-nominal events. Finally, we explore temporal trends in terms of when and how the system tends to be disrupted, and the subsequent recovery.