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TY - THES AU - Lampe, Felix Josef Stefan TI - Qualitätsbewertung und Prognose der Zustandsentwicklung von Bahnhofsinfrastruktur PB - Rheinisch-Westfälische Technische Hochschule Aachen VL - Dissertation CY - Aachen M1 - RWTH-2026-01313 SP - 1 Online-Ressource : Illustrationen PY - 2026 N1 - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University N1 - Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2026 AB - The quality of infrastructure in the railway sector is of great importance since high-quality infrastructure enables high operational quality, thereby enhancing the attractiveness of rail transport. The station infrastructure is also essential for handling passenger traffic and, as a waiting area, significantly contributes to the appeal of rail transport. Maintenance and renewal of infrastructure assets are necessary for maintaining high-quality infrastructure. Various financing agreements exist for funding infrastructure (such as Germany's “Leistungs- und Finanzierungsvereinbarung”) which ensures financial resources from the federal budget for maintaining and renewal railway infrastructure. In return, performance targets are defined, which must be achieved by the operators of the infrastructure assets. Infrastructure quality is assessed through defined quality indicators, and the economic use of allocated funds is controlled based on target achievement. This thesis establishes a cause-effect relationship between the quality of station infrastructure and the available financial resources for maintenance and renewal, considering various classes of station infrastructure assets. A predictive approach models degradation as well as the impact of maintenance and renewal on infrastructure quality. The cause-effect relationship allows deriving future action requirements and their effects on infrastructure quality for different scenarios. Infrastructure quality is assessed using “Bewertung der Anlagenqualität” (BAQ). BAQ represents the overall condition of all infrastructure assets in a graded logic format, aggregated across different assets based on various weightings. An analysis examines these weightings and identifies the infrastructures with the greatest influence on BAQ. The analysis reveals that a targeted use of financial resources, focused on a select number of infrastructure assets, can lead to a favorable condition assessment of the entire infrastructure network. Therefore, it is essential to question whether the current aggregation logic adequately reflects BAQ's overall asset condition. Consequently, a modified weighting of asset conditions is being developed to mitigate the identified disincentives. LB - PUB:(DE-HGF)11 DO - DOI:10.18154/RWTH-2026-01313 UR - https://publications.rwth-aachen.de/record/1027244 ER -