山东科学2024，Vol.37Issue(4)：105-111,7.DOI:10.3976/j.issn.1002-4026.20230093
南京市轨道交通网络抗毁性及韧性研究
Durability and resilience of Nanjing Rail Transit Network
摘要
Abstract
This study first constructs a topological structure model of the rail transit network based on the Space L network topology method.Herein,upon analyzing network characteristics using UCINET as a basis,the maximum connected subgraph ratio and overall network efficiency are selected as indicators to analyze the resilience of the rail transit network.Then,the article comprehensively analyzes the attribute values of nodes and employs the TOPSIS method to rank the importance of nodes using the coefficient of variation for weighting.Then network resilience is analyzed by destroying individual nodes with high importance,and network recovery is achieved through indicator-based ranking restoration strategies,ultimately yielding the average resilience value of the rail transit network.Furthermore,the resilience and robustness of the rail transit network of Nanjing in 2022 is analyzed based on the established model.Results show that nodes with high degree values often have a greater impact on resilience than other indicators.Prioritizing the repair of nodes with the highest degree values leads to the greatest increase in network efficiency,whereas repairing nodes with the highest closeness to the center has less impact on network efficiency.关键词
复杂网络/评价模型/抗毁性/网络韧性/恢复策略/最大连通子图/网络效率Key words
complex networks/evaluation model/resistance to destruction/network resilience/recovery strategy/the largest connected subgraph/network efficiency分类
交通工程引用本文复制引用
高占一,朱成娟,韩凌辉..南京市轨道交通网络抗毁性及韧性研究[J].山东科学,2024,37(4):105-111,7.基金项目
国家自然科学基金项目(72171033) （72171033）
辽宁省教育厅自然科学研究项目(JDL2019037) （JDL2019037）
