Preparedness planning for critical infrastructure networks requires evaluating the impact to the network when its components are disrupted. We extend the well-studied problem of component importance measures in single-commodity networks to multi-commodity networks by integrating a multi-commodity optimization model with a multi-criteria decision analysis tool to evaluate the impact of one-at-a-time component disruptions. We analyze commodity-specific impacts on network performance of a Swedish railway system application to rank critical links.