应数学与统计学院邀请，江苏师范大学张建华副教授将在我校作学术讲座，欢迎广大师生届时前往。

时间：2021年6月13日(星期日)上午10：00

地点：数学与统计学院会议室

主讲人简介：

张建华，男，1980年生，山东省沂水县人，副教授，博士，硕士生导师，英国南安普敦大学访问学者，江苏省“青蓝工程”优秀青年骨干教师、江苏师范大学先进工作者。主持国家自然科学基金等科研项目5项,以第一作者或通讯作者在Reliability Engineering and System Safety, Safety Science, Physica A等国际期刊上发表学术论文40余篇，其中SCI检索论文20余篇，获江苏省教育科学研究成果奖三等奖。主持省部级以上教研教改课题5项，获省级以上教学奖励3项。研究方向：轨道交通控制与安全、系统鲁棒性建模与评估、智慧城市与智慧交通。

   摘要：

Urban rail transit networks (URTNs) have become the important travel mode in large- and medium cities, the operation safety must be paid more attention in daily operations. Therefore, we adopted complex network theory and method to analyze the vulnerability of URTNs subjected to cascading failures. Here, an integrated coupled map lattices (ICML) is proposed to assess the node states and study the vulnerability of weighted urban rail transit networks (URTNs) subjected to the external disturbance R. Meanwhile, the passenger flow is refined as the passenger in-flow and out-flow of the station, and a new passenger flow redistribution rule is proposed to discuss the cascading failures of URTNs. Moreover, three parameters are adopted to analyze the vulnerability characteristics of URTNs subjected to cascading failures and Nanjing metro network is taken as the example to verify the feasibility and effectiveness of the presented model. The results show that there is a linear relationship between the node betweenness and edge betweenness, and URTNs are very vulnerable subjected to malicious attacks and become more and more vulnerable with the increase of the external disturbance. Furthermore, we find that the largest degree node-based attack (LDA) is more likely to result in cascading failures and the highest betweenness node-based attack (HBA) can cause the most damage to URTNs subjected malicious attacks.

组织单位：数学与统计学院