Perception based analysis to add any value in the decision making process. Nowadays, a CBA is used to assess large infrastructure projects. However, this method has its disadvantages and perhaps another method can add more value in the decision-making process of public transport investments. This thesis investigates whether a perception-based analysis adds any value for policy decision-makers in the decision-making process for public transport investments. A combination of MAMCA and BWM is used to obtain the weights and to calculate the perceptions. The perceptions are calculated for the most important stakeholders: Government, Public transport operators and Passengers. By means of an interview and discussion with the decision-makers the added value of the perceptions in the process is investigated.