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Robustness assessment of multimodal freight transport networks

机译：多式联运运输网络的鲁棒性评估

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摘要

Multimodal freight transport allows switching among different modes of transport to utilize transport facilities more efficiently. This paper proposes an approach on network modeling and robustness assessment for multimodal freight transport networks, where the nodes represent junctions, terminals and crossings, and the links represent pathways. The network model captures the features of interconnection and interdependency. Freight can switch between different modalities at interconnected terminals, while disruption of a single interdependent node (e.g., bridge, tunnel, railway crossing) affects multiple modalities. Considering disruptions of infrastructure elements and capacity degradation of pathways as perturbations, the network robustness is evaluated as the increment of the total travel time caused by these perturbations. We apply our robustness assessment model to the Dutch freight transport, taking into account three modalities: inland waterway, road and railway. The node criticality, defined as the impact of a node removal on the total travel time, resembles a power-law distribution, independent of different traffic assignments. This scale-free property implies a relatively robust state of the network against single random disruptions. Further, we show that the most critical nodes can be roughly identified by their topological properties. Our research helps to schedule the maintenance by assigning priority to the critical infrastructure.
机译：多式联运运输允许在不同的运输方式之间切换以更有效地利用运输设施。本文提出了一种对多式联运运输网络的网络建模和鲁棒性评估的方法，其中节点代表了结区，终端和交叉，链接代表途径。网络模型捕获互连和相互依赖的特征。运费可以在互联终端的不同模式之间切换，而单个相互依赖节点（例如，桥，隧道，铁路交叉）的破坏会影响多种模式。考虑到基础设施元素的中断和途径的容量降级作为扰动，网络鲁棒性被评估为这些扰动引起的总旅行时间的增量。我们将稳健性评估模型应用于荷兰货运，考虑到三种方式：内陆水道，道路和铁路。节点关键性定义为节点在总旅行时间上删除的影响，类似于幂律分布，与不同的流量分配无关。这种无垢的属性意味着网络的相对稳健的状态，免于单个随机中断。此外，我们表明最关键的节点可以通过其拓扑特性大致识别。我们的研究有助于通过为关键基础设施分配优先级来安排维护。

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