A range of predictable and unpredictable events can cause road perturbations, disrupting traffic flows and more generally the functioning of society. To manage this threat, stakeholders need to understand the potential impact of a multitude of predictable and unpredictable events. The present paper adopts a hazard-independent approach to assess the robustness (ability to maintain functionality despite disturbances) of the Sioux Falls network to all possible disruptions. This approach allows understanding the impact of a wide range of disruptive events, including random, localised, and targeted link failures. The paper also investigates the predictability of the link combinations whose failure would lead to the highest impacts on the network performance, as well as, the correlation between the link-criticality rankings derived when only single-link failures are considered as opposed to when multiple-link failures are considered. Finally, the sensitivity of the robustness-assessment results to the intensity and distribution of the travel demand is evaluated.

一系列可预测和不可预测的事件可能会导致道路扰动，交通流量中断以及更广泛的社会运行。为了应对这种威胁，利益相关者需要了解大量可预测和不可预测事件的潜在影响。本文采用与危险无关的方法来评估Sioux Falls网络对所有可能的干扰的鲁棒性（即使受到干扰也能保持功能的能力）。这种方法可以理解各种破坏性事件的影响，包括随机，局部和有针对性的链路故障。本文还研究了链接组合的可预测性，这些组合的故障将导致对网络性能的最大影响，以及 仅考虑单链路故障时与考虑多链路故障时得出的链路关键性等级之间的相关性。最后，评估了鲁棒性评估结果对旅行需求强度和分布的敏感性。