The objective of capacity allocation is to coordinate train path requests to form a timetable. Comparing the socio-economic effects of different alternatives is one way to solve conflicts, reliability another. In this article, we use a method combining both: We evaluate different express train departures with help of two timetable performance indexes taking passenger effects into account. Beside travel time and supplements, reliability is included in form of different measures of delay and punctuality. The analysis is based on a case study on the Swedish Southern mainline with historical and simulated delay data (in the first part also the Western mainline). Simulation with the microscopic tool RailSys and the macroscopic PROTON is used to estimate how timetables react to disturbances. Both simulation types are shown to be useful for the considered case with dense, heterogenous traffic. RailSys gives in accordance with the historical data larger differences among the departures and seems to be more suitable if focus is on different train slots as in this paper. However, the faster method PROTON gives reasonable results, too. The performance indexes based on passenger effects are shown to be useful indicators for the goodness of timetable slots. Large differences in goodness of the timetable slots can be observed. The ranking between the slots differs depending on the choice of model configuration which shows the importance of considering the relevant parameters and weights for evaluation. Validation and calibration have to be continued to draw further conclusions