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TY - THES AU - Schneider, Marcel TI - Monetäre Bewertung von Konfliktlösungsmaßnahmen im Eisenbahnverkehr mit Hilfe von Modellen der Betriebssimulation und Verkehrsmittelwahl PB - Rheinisch-Westfälische Technische Hochschule Aachen VL - Dissertation CY - Aachen M1 - RWTH-2016-08555 SP - 1 Online-Ressource (XII, 170, A-10 Seiten) : Illustrationen, Diagramme PY - 2016 N1 - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University N1 - Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2016 AB - There are different ways to resolve conflicts between trains in railway operation. In Germany, they are based on ranking numbers associated with each train which define the priorities between different trains. Resolving a conflict can have an impact on the train with the lower priority with regards to time or location. In particular, the time impact in form of waiting times is used to describe the performance of railway operation. Based on that, the economic impact of conflict-resolution scenario can be evaluated. In this study, the evaluation of the economic impact is extended to the end-customer by means of taking its effect on demand into account. As a result of delays of trains, end-customers may switch to other modes of transport which can result in revenue loss. Combined with variable costs this leads to lower contribution margins for train operating companies and finally for railway infrastructure companies. In this study, three modules are being investigated and coupled with each other to pro-duce a monetary rating of conflict-resolution scenarios. Conflict resolution based on priorities is undertaken through simulation models which produces waiting times for each train as a result. They form the input to mode-choice models to determine the demand in long distance, local and freight traffic in form of the modal split. The third module is the calculation of the contribution margin which allocates a monetary value to re-solving a conflict. As part of this, the variable costs are deducted from the revenues. Revenues are calculated based on train-type specific and time-variable data with regards to load factor, travel purpose, ticket or good pricing and the demand factor which includes the modal split. The cost elements considered include capital and maintenance costs for the rolling stock as well as staff and energy costs. Due to the fact that the simulation tool operates on a microscopic layer whereas the mode-choice models relate to a macroscopic layer, the waiting times cannot be directly used to determine the modal split. Therefore, an adaptation is undertaken first which consists of a combination of individual and average values. Depending on the frequency of travel, the end-customers take their decisions for or against rail either based on individual delay events as a result of conflict resolution or because of previous experience which is represented by average lateness. Different set priorities for trains can lead to different resolution of conflicts and therefore also to different waiting times of trains and to end-customers. Subsequently, priorities can be set with this approach in such a way that the monetary loss for train operating companies as a result of waiting times is minimised. LB - PUB:(DE-HGF)11 UR - https://publications.rwth-aachen.de/record/673272 ER -