城市轨道交通系统（URTS）是城市重要生命线工程，但在其应对灾害时仍存在抵抗不力、恢复缓慢、缺乏适应等突出问题。运营安全韧性作为URTS的固有属性，存在于设备设施、拓扑结构和服务功能中。本课题基于多层复杂网络理论与灾害蔓延动力学，揭示URTS运营安全韧性形成机理；基于改进性能响应函数模型，提出运营安全韧性多维度识别与多指标度量体系；基于动态不可操作性输入输出模型、复杂网络理论与供需平衡理论，结合蒙特卡罗模拟与机器学习，研究URTS物理、结构、社会韧性的识别与度量方法；基于多属性决策分析与GIS技术，研究运营安全韧性集成模型与灾害后果模拟方法；基于情景认知理论、自动推理与多智能体仿真，研究运营安全韧性综合提升方案；基于数据智能获取、仿真与可视化技术，构建URTS运营安全韧性智慧管理模式；结合典型URTS进行案例与实证研究，对我国URTS的规划、运营和发展提供面向韧性视角的理论方法和技术支撑。

Urban Rail Transit System is important lifeline engineering systems in cities. However, it has some critical issues in response to various types of disasters, such as weak resistance, slow recovery, and lack of adaptation. As an intrinsic property, safety resilience exists in various aspects of URTS including equipment and facilities, topologies, and service functions. Based on multi-layer complex network theory and disaster spreading dynamics, this study aims at revealing the formation mechanism of URTS operational safety resilience. Based on modified performance response function model, this study will propose a system for multi-dimensional identification and multi-index measurement of operational safety resilience. Based on dynamic inoperability input-output model, complex network theory and supply-demand balance theory, and combined with Monte Carlo simulation and machine learning, the methods for identifying and measuring operational safety resilience from physical, structural and social aspects will be proposed. Based on multiple attribute decision making analysis and GIS technology, this study will develop URTS operational safety resilience integration model and disaster consequence simulation method. Based on situated cognition theory, automatic reasoning and multi-agent simulation, this study will establish a comprehensive improvement plan for operational safety resilience. Based on data intelligent acquisition, simulation and visualization technology, a smart management model for URTS operational safety resilience will be built. The proposed methodologies will be tested in real-world case studies in the context of typical URTS. The proposed research is expected to provide theoretical methods and technical support for better planning, operation and development of URTS in China from the perspective of resilience.