弹性(材料科学)
绩效指标
计算机科学
服务(商务)
钥匙(锁)
扰动(地质)
运筹学
风险分析(工程)
可靠性工程
运输工程
工程类
计算机安全
业务
生物
热力学
物理
古生物学
营销
作者
Yang Li,Mingyuan Zhang
标识
DOI:10.1061/jitse4.iseng-2227
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI