Resilience Assessment for Streamline Network of Transportation Hub Complex Based on Service Performance

Abstract

A resilient transportation hub complex affected by a disturbance can maintain minimum performance and rapidly resume operations, while dealing with growing service demands imposed by the unfolding disturbance management. To strengthen the disturbance response ability and achieve postdisturbance rapid recovery, this paper proposes a hybrid approach that integrates a theoretical framework, failure model, and restoration model to assess the resilience of the streamline network of the transportation hub complex. In the resilience assessment framework, system performance is chosen as the key proxy for resilience, which is measured based on a service performance index. Subsequently, a failure model is designed to determine the service performance loss of a streamline network following a disturbance. To obtain maximum service performance, we propose a restoration model that integrates an optimal recovery sequencing strategy and a load redistribution strategy. A test example is used to demonstrate the applicability of the proposed approach. This approach can be used as a decision tool to estimate streamline network resilience and provide useful references for developing future policies.