Railway punctuality remains a critical measure of service quality and operational efficiency. Traditional performance metrics, such as on-time performance and delay increments, inform about punctuality goals and guide maintenance planning, but they often overlook the passenger experience due to limited access to disaggregated demand data. This study integrates forecasted ridership data with delay evaluation models to assess passenger delays and their socio-economic impacts. By combining passenger-centric delay contributions with the Swedish framework for socio-economic evaluations, we enable a more informed prioritisation of maintenance interventions. A case study on the Southern Main Line in Sweden illustrates the methodology’s potential to improve maintenance planning, highlighting its relevance for achieving data-driven improvements in train service reliability.