Abstract:

In order to effectively describe the multi-modal regional rail transit network and improve the accuracy of its network resilience assessment, according to the coupling relationship between different sub-network layers and characteristics of transportation services, MRRT interdependent network model was constructed based on complex network theory. Considering the network topology and service quality, the network resilience measurement index was constructed from four dimensions: resistance ability, absorption ability, buffer ability and recovery ability, and the method of identifying its key stations based on gravity model was improved. Due to the high complexity of MRRT network, the potential attack information disturbed by emergencies had grey characteristics. Therefore, using Matlab to simulate the grey attack strategy under different information accuracy, the influence rule of the information accuracy of grey attack on the resilience of MRRT interdependent network was explored. The research shows that the interdependent network of MRRT has the characteristics of scale-free network. Identifying key stations evaluation index based on the gravity model can improve the accuracy of key evaluation of network nodes. Reducing the information accuracy α of grey attacks can improve network resilience, and there is a threshold for the impact of α on network resilience. When α∈(0.2,0.8), the performance loss of network after being attack decreases as the increase of information accuracy α. When α≥0.8∪α≤0.2, reducing the information accuracy α has no significant impact on network resilience.

Key words: grey information attack, multi-modal regional rail transit (MRRT), network resilience assessment, interdependent network, gravity model