Transport infrastructure owners are moving from reactive toward proactive infrastructure management. This involves computation of costs associated with failure or maintenance, including expected transport delays. These delays are often computed by multiplying additional travel time by the number of travellers. However, this does not reflect the process of decision-making by travellers using the infrastructure asset, such as mode choices, departure time changes and trip cancellations to reduce time wasted in a traffic jam. Therefore, we introduce a multi-modal transport model that simulates travellers’ behaviour after a large-scale infrastructure failure at a critical node in the European TEN-T network. We use a novel approach of modelling the region around the infrastructure disruption in a very detailed manner, whereas the rest of Europe is modelled in a more basic way. This enables us to model impacts of disruptions in high detail, whereas also effects throughout Europe are considered, within reasonable computation time.

中文翻译：

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破坏性运输模型：计算因多式客运和货运交通基础设施故障而导致的用户延误

运输基础设施所有者正在从被动式转向主动式基础架构管理。这涉及计算与故障或维护相关的成本，包括预期的运输延误。这些延误通常是通过将额外的旅行时间乘以旅客人数来计算的。但是，这并不反映旅行者使用基础设施资产进行决策的过程，例如模式选择，出发时间更改和取消行程以减少交通拥堵所浪费的时间。因此，我们引入了一种多模式运输模型，该模型可以模拟欧洲TEN-T网络中关键节点发生大规模基础设施故障后的旅行者行为。我们采用一种新颖的方法来对基础设施破坏周围的区域进行非常详细的建模，而欧洲其他地区则以更基本的方式建模。这使我们能够对中断的影响进行详细建模，而在合理的计算时间内，还要考虑整个欧洲的影响。