Competing priorities and limited resources to implement transport interventions and strategies increase the need to minimise inefficiencies in delivering projects to improve transport services. Therefore, efficient, pragmatic transport network infrastructure expenditure must be supported by well-informed policies and adequate decision-support tools. This work demonstrates decision-making support using the appraisal of the transit network design process. The study uses an ordinary heuristic node insertion technique to improve a transit network. Multiple network scenarios are developed using the heuristic. Travel demand is then simulated on the networks with activity-based travel demand simulation to obtain performance indicators. Subsequently, the indicators are defined as criteria for multi-criteria decision analysis (MCDA) techniques to determine which network helps the policymaker determine the optimum network improvement intervention. The results show that the weights assigned to network performance indicators or attributes impact the ranking of the network alternatives. In conclusion, the study demonstrates the importance of decision-making support in interventions for large systems like transport networks. Future research should be focused on improving the node-insertion heuristic.