This article uses primarily the Grey Relational analysis method to analyze the effectiveness of 14 indicators related to transportation network resilience. In the process of analysis, we use the indicator data obtained from an unattacked network as the optimal reference sequence and a network attacked on the most connected node as the worst reference sequence. Besides the optimal and the worst scenarios, to study the network resilience, we define a network attacking strategy consisting in an assault on one node at a time, orderly for all nodes of the network. A relative Grey Correlation Degree is also proposed to evaluate the results. The analysis is made on 10 public transport networks. They show that the Global Efficiency is the indicator that has the greatest influence on the resilience of the public transportation network. We also categorized the resilience indicators into three different groups. We find that the most important category for network resilience is the Network Efficiency indicator, which includes the network structure plus the bus travel time.