基于韧性曲线的城市地铁网络恢复策略研究

Research on Urban Metro Network Recovery Strategy Based on Resilience Curve

为了提高城市地铁网络的韧性,基于复杂网络理论和韧性城市理论,研究地铁网络在不同失效场景下的最优恢复策略。用Space L方法和Gephi软件构建地铁网络,以网络平均效率为韧性指标,以网络恢复力最大为目标函数构建城市地铁网络恢复模型,用遗传算法进行求解。最后以西安地铁网络为例,用Matlab模拟了其在小规模和大规模站点失效场景下的最优恢复策略。研究结果表明:西安市地铁线网中站点之间联系程度有待加强;放射性线网与中心线网的交点为地铁网络中的脆弱性站点;度相同或不同站点失效下,优先恢复的站点与其介数相关;不同规模站点失效下,用遗传算法求解城市地铁网络的最优恢复策略均具有较高求解效率。

In order to improve the resilience of the urban metro network,the optimal recovery strategy of the metro network under different failure scenarios is studied based on the complex network theory and the resilient city theory.The Space L method and Gephi software are used to model the metro network and the average efficiency of the network is used to quantity resilience.The maximum resilience of the network is used as the objective function to establish the recovery model of metro network and GA(genetic algorithm)is adopted to identify optimal recovery strategy.Finally,a numerical example is used to illustrate the procedure and the effectiveness of the proposed method.The results of the study indicate that the connection between stations in the Xi’an metro line network is low and the intersection of the radioactive line and the central line is the vulnerable station of the metro network.Moreover,the priority site to restore is related to its betweenness rather than degree.In addition,the network resilience of different recovery strategies is obviously different under the different failure scenarios and the proposed method can be used to identify the optimal recovery strategy.