This study adopts Complex Network Theory in the context of bus transit network. The study aims at quantifying the topological characteristics and assessing the validity of static-robustness metrics as expressive measures of transit networks robustness. In addition, dynamic-robustness indices, that consider transit operational profile, are utilized to measure the cascading impacts of disruptive events. The analysis is based on a dataset of 40 bus transit networks. The results indicate that bus networks don’t conform to any major network class: scale-free, small-world, or random. Furthermore, the static-robustness metrics produced contradictory results, which raises valid concerns on their applicability. The dynamic-robustness indices developed in the current study indicated significant cascading impacts resulting from node removal relative to the removal of links. This behaviour was further examined through a two-step cluster analysis, which resulted in three distinct network clusters: small node-sensitive; small link-sensitive; and medium less-sensitive networks. These findings are directed to inform a robustness-based design of bus transit networks.

中文翻译：

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公交公交网络稳健性的量化和分类

本研究在公交网络的背景下采用复杂网络理论。该研究旨在量化拓扑特征并评估静态稳健性指标作为公交网络稳健性的表达措施的有效性。此外，考虑交通运营状况的动态稳健性指数用于衡量破坏性事件的级联影响。该分析基于 40 个公交运输网络的数据集。结果表明总线网络不符合任何主要网络类别：无标度、小世界或随机。此外，静态稳健性指标产生了相互矛盾的结果，这引起了对其适用性的合理担忧。当前研究中开发的动态稳健性指数表明，相对于链接的移除，节点移除产生了显着的级联影响。通过两步聚类分析进一步检查了这种行为，这导致了三个不同的网络聚类：小节点敏感；小链接敏感；和中等不太敏感的网络。这些发现旨在为公交交通网络的基于鲁棒性的设计提供信息。