This article presents an interdisciplinary methodology that provides decision makers with key figures on the reliability of ageing structures in transport infrastructures. The methodology is closely connected to ongoing discussions about proactive and sustainable maintenance strategies under increasing economic and ecological pressures. Since the infrastructures of the main modes of transport in Germany, that is, roads, railways and waterways, pose similar challenges to the responsible governmental authorities and administrations, the development of the methodology presented in this article is embedded in the research programme ‘BMVI Network of Experts’. Under the premises of the research programme, the methodology provides a step-by-step approach to creating a profound knowledge base which is required for the reliability assessment of ageing infrastructures. The methodology aims at generating meaningful key figures about the structural condition of an assessed asset for a risk-informed maintenance strategy. The examples of a condition assessment procedure based on a fuzzy criticality recommendation and a screening tool for ranking a large number of structures using operative reliability indices illustrate how the interdisciplinary methodology allows the development of user-friendly tools to support and facilitate the management of infrastructure maintenance in the responsible governmental entities.

本文提供了一种跨学科的方法，可为决策者提供有关交通基础设施中老化结构可靠性的关键数据。该方法与正在进行的有关日益增长的经济和生态压力下的主动和可持续维护策略的讨论紧密相关。由于德国主要交通方式的基础设施（即公路，铁路和水路）对相关政府主管部门和行政管理部门构成了类似的挑战，因此本文介绍的方法论的发展已嵌入到“ BMVI网络”研究计划中的专家。在研究计划的前提下，该方法论提供了逐步的方法来创建深刻的知识库，这是老化基础架构的可靠性评估所必需的。该方法旨在针对有意义的风险维护策略生成有意义的关键数字，该数字与评估资产的结构状况有关。基于模糊关键性推荐和​​使用可操作可靠性指标对大量结构进行排名的筛选工具的状态评估程序示例，说明了跨学科方法论如何允许开发用户友好的工具来支持和促进基础设施维护管理在负责任的政府实体中。该方法旨在针对有意义的风险维护策略生成有意义的关键数字，该数字与评估资产的结构状况有关。基于模糊关键性推荐和​​使用可操作可靠性指标对大量结构进行排名的筛选工具的状态评估程序示例，说明了跨学科方法论如何允许开发用户友好的工具来支持和促进基础设施维护管理在负责任的政府实体中。该方法旨在针对有意义的风险维护策略生成有意义的关键数字，该数字与评估资产的结构状况有关。基于模糊关键性推荐和​​使用可操作可靠性指标对大量结构进行排名的筛选工具的状态评估程序示例，说明了跨学科方法论如何允许开发用户友好的工具来支持和促进基础设施维护管理在负责任的政府实体中。