文章编号： 1672-5328（2025）04-0040-11

王海深1, 3，文力航1, 3，代磊磊2，李瑞敏1，潘鹏1, 3
(1. 清华大学土木工程系，北京100084；2. 内蒙古自治区公安厅交通管理局，内蒙古自治区呼和浩特010055； 3.住房城乡建设部数字建造与孪生重点实验室，北京100084)

摘要： 抗灾韧性水平是衡量交通基础设施系统功能的重要指标，针对交通基础设施网络进行高效建 模是开展韧性分析的重要前提。从网络拓扑结构、依赖关系和韧性分析属性3 个方面对交通基础设 施网络建模方法进行文献综述，剖析在面向抗灾韧性分析的网络建模过程中网络拓扑结构选择和构 建的特殊性；归纳交通基础设施网络抗灾韧性分析的重点关注场景；并对可靠度、易损性、恢复性 等交通基础设施网络抗灾韧性分析中使用较为广泛的单元韧性分析属性进行梳理。研究结果表明： 面向抗灾韧性分析的单一交通基础设施子网络构建通常使用L-空间模型，并需要进行适应性拓扑 调整和简化；多种交通基础设施综合网络通常基于超级网络模型或分层网络模型构建，而综合交通 枢纽建模可采用离散式或聚合式模型。交通基础设施网络的依赖关系可用基于拓扑或基于网络流的 方法在模型中体现。

关键词： 交通基础设施；抗灾韧性；网络模型；建模方法；多式联运

中图分类号： U491

文献标识码：A

A Review of Network Modeling Methods for Disaster Resilience Analysis of Transportation Infrastructure

WANG Haishen1, 3, WEN Lihang1, 3, DAI Leilei2, LI Ruimin1, PAN Peng1, 3
(1. Department of Civil Engineering, Tsinghua University, Beijing 100084, China; 2. Traffic Management Bureau of Inner Mongolia Autonomous Region Public Security Department, Hohhot Inner Mongolia Autonomous Region 010055, China; 3. Key Laboratory of Digital Construction and Digital Twin, Ministry of Housing and Urban-Rural Development, Beijing 100084, China)

Abstract： The level of disaster resilience is a critical metric for evaluating the functionality of transportation infrastructure systems and efficient modeling of transportation infrastructure networks is an essential prerequisite for resilience analysis. This paper presents a literature review of modeling methods for integrated transportation infrastructure networks from three perspectives: network topologies, interdependencies, and resilience analysis attributes. The paper examines the unique considerations in selecting and constructing network topologies for disaster resilience analysis, summarizes key scenarios of interest in disaster resilience studies of transportation infrastructure networks, and outlines commonly used unit-level resilience attributes in these studies, such as reliability, vulnerability, and recoverability. The findings indicate that, for disaster resilience analysis, single- mode transportation infrastructure subnetworks are typically constructed using L- space models with necessary adaptive topological adjustments and simplifications. Multimodal transportation infrastructure networks are generally developed using supernetwork models or layered network models, while discrete or aggregated models can be applied to represent comprehensive transportation hubs. The interdependencies within transportation infrastructure networks can be incorporated into models using either topology-based or network flow-based approaches.

Keywords： transportation infrastructure; disaster resilience; network model; modeling method; multimodal transportation