Wandelt Sebastian, Sun Xiaoqian, Zhang Anming
National Key Laboratory of CNS/ATM, School of Electronic and Information Engineering, Beihang University, 100191 Beijing, China.
School of Global Governance, Beijing Institute of Technology, 100811, Beijing, China.
J Air Transp Manag. 2023 May;108:102377. doi: 10.1016/j.jairtraman.2023.102377. Epub 2023 Feb 7.
For nearly three years with the COVID-19 pandemic, China has implemented a set of strict policies to control the flux of potential virus carriers in cross-border flights: The so-called Circuit Breaker mechanism. In this study, we review the evolution of this mechanism - a rather unique experiment in the global aviation system - from a data-driven perspective. Specifically, we perform an investigation on the extent of violations and their potential drivers. In total, 183 events are analyzed covering the period from epidemic outbreak in early 2020 to December 2021. In addition to describing the spatial extent and temporal evolution, we develop a regression model which helps us to better understand the universal patterns. By dissecting an under-investigated phenomenon, we believe that our study contributes to the rich literature on aviation and COVID-19, not only in the specific context of China, but also by assessing some of the challenges and potential of containing a global health threat using strict aviation policies.
在新冠疫情的近三年时间里，中国实施了一系列严格政策来控制跨境航班中潜在病毒携带者的流量：即所谓的“熔断机制”。在本研究中，我们从数据驱动的角度审视这一机制——全球航空系统中一项颇为独特的试验——的演变。具体而言，我们对违规程度及其潜在驱动因素进行调查。总共分析了2020年初疫情爆发至2021年12月期间的183起事件。除了描述空间范围和时间演变外，我们还建立了一个回归模型，这有助于我们更好地理解普遍模式。通过剖析一个研究不足的现象，我们认为我们的研究不仅在中国的特定背景下，而且通过评估使用严格航空政策遏制全球健康威胁的一些挑战和潜力，为关于航空与新冠疫情的丰富文献做出了贡献。
