基于韧性评估的地铁网络修复时序决策方法

为提高地铁应对突发事故的韧性，提出基于韧性评估的地铁网络修复时序方案决策方法.基于复杂网络理论，利用Space L方法构建地铁网络拓扑结构，部分节点失效后利用不同的修复策略生成备选方案；选取网络平均效率为性能指标，构建韧性指数评估不同修复时序方案下地铁网络韧性的表现，推荐韧性指数最大的方案为最优方案，探讨不同修复策略与网络恢复性能间的关系；以南京地铁为例进行实例分析.结果表明，多个节点失效时，优先修复策略受同步维修队伍个数的限制，前期表现较差，但有助于提升整个恢复阶段网络的性能；并行使用优先修复策略和增加维修队伍可有效提高网络韧性，缩短恢复时间.

Decision-making Method of Repair Sequence for Metro Network Based on Resilience Evaluation

In order to improve the resilience of the metro network after some accidents, a decision- making method of repair sequence based on resilience evaluation is proposed. Based on the complex network theory, the space L method was used to construct the metro network topology. After some Metro nodes damaged, alternative schemes were generated based on the combination of different recovery strategies. The network average efficiency was chosen as the network performance indicators, the resilience index was constructed to evaluate the network resilience of different repair schemes, the scheme with the biggest resilience index was recommended as the optimal one. Then the relationship between recovery strategies and optimal scheme was discussed. Taking Nanjing Metro as an example, the result shows that in the case of multiple nodes fail, the priority repair strategy may not perform well in the early stage because of the limit of maintenance team, but it is more helpful to improve the network performance in the whole recovery stage; In addition, when multiple nodes fail, using priority repair strategy and increasing maintenance teams together can effectively improve network resilience and shorten the recovery time.