In this paper, we extend to the literature on marginal wear and tear cost estimation in railways, by applying a panel vector autoregressive model to rail infrastructure renewals and maintenance costs, using an extensive dataset from Sweden. This study is significant given the inherent difficulties in modelling the substantial renewals element of infrastructure costs, as well as the need to account for the dynamics in renewals and maintenance. The dynamic model allows us to estimate equilibrium cost elasticities with respect to train usage, which are significantly larger than their static counterparts. Overall, this work highlights that dynamics in rail infrastructure costs are important to consider when setting track access charges with respect to the wear and tear caused by traffic. This is particularly important given several countries, for example France, Sweden and Switzerland, are now setting access charges at marginal costs based on econometric studies.

在本文中，我们使用瑞典的大量数据集，将面板矢量自回归模型应用于铁路基础设施的更新和维护成本，从而扩展了有关铁路边际磨损成本估算的文献。鉴于对基础设施成本的实质性更新要素建模存在固有的困难，并且需要考虑更新和维护的动态，因此这项研究具有重要意义。动态模型使我们能够估计相对于火车使用量的均衡成本弹性，该弹性比静态静态弹性大得多。总体而言，这项工作突出表明，在针对交通造成的损耗设定轨道访问费用时，必须考虑铁路基础设施成本的动态变化。考虑到多个国家，这一点尤其重要，