航空运输网络动力学：复杂系统视角
Dynamics of Air Transport Networks: A Review from a Complex Systems Perspective
摘要：
航空运输系统在从几分钟到几年的时间尺度上是高度动态的。这种动态行为不仅表征了系统的演化，而且影响了系统的功能。因此，了解演变机制对于更好地设计有利于公司、乘客和环境的最佳航空运输网络至关重要。在这篇综述中，我们简要地介绍和讨论了国家的最先进的时间演变的航空运输网络。我们区分网络快照序列的结构分析，理想的长期网络演化（如年度演化），和时间路径，首选短期动态（如小时演化）。我们强调，大多数以前的研究集中在第一种建模方法（即长期），而只有少数研究着眼于高分辨率的时间路径。我们总结的审查强调，仍有许多研究工作要做，既适用于已经可用的方法，并制定新的措施，时间路径上的航空运输网络。特别是，我们确定的延迟，网络弹性和优化资源（飞机和机组人员）的研究是至关重要的主题，可以受益于时间网络分析。
英文摘要：
Air transport systems are highly dynamic at temporal scales from minutes to years. This dynamic behavior not only characterizes the evolution of the system but also affect the system's functioning. Understanding the evolutionary mechanisms is thus fundamental in order to better design optimal air transport networks that benefits companies, passengers and the environment. In this review, we briefly present and discuss the state-of-art on time-evolving air transport networks. We distinguish the structural analysis of sequences of network snapshots, ideal for long-term network evolution (e.g. annual evolution), and temporal paths, preferred for short-term dynamics (e.g. hourly evolution). We emphasize that most previous research focused on the first modeling approach (i.e. long-term) whereas only a few studies look at high-resolution temporal paths. We conclude the review highlighting that much research remains to be done, both to apply already available methods and to develop new measures for temporal paths on air transport networks. In particular, we identify that the study of delays, network resilience and optimization of resources (aircraft and crew) are critical topics that can benefit of temporal network analysis.
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