# Resilience Analysis of Traffic Network under Emergencies: A Case Study of Bus Transit Network
### Motivation and Contribution  
The main significance of this research lies in the qualitative and quantitative analysis of the resilience of public transit networks from the perspective of their spatiotemporal dynamics and structural statics, which solves the problem faced by transit network managers who hold a large amount of operational monitoring data but cannot comprehensively and systematically grasp the state and changes in transit networks under the influence of unexpected events. With the proposed framework and model for analyzing the resilience of transit networks in this article, the ability of transit networks to resist the impact of unexpected events can be accurately evaluated. This research provides transit network managers with intuitive and trustworthy evaluation conclusions, while also laying a solid theoretical and data foundation for optimizing transit networks and improving the study of network resilience.  
This paper aims to analyze the resilience of urban bus networks in the face of unexpected events. In response to the lack of research frameworks and experimental demonstrations in the current academic research on bus network resilience analysis, this paper comprehensively applies indicator evaluation methods, resilience cycle theory, and complex network theory to construct a modeling and analysis framework for the resilience of bus networks. This paper has significant innovative significance in the field of bus network resilience research, with three main innovations:  
1. In response to the problem of how to scientifically select operational indicators that reflect the resilience of urban bus networks, this paper designed an indicator evaluation model based on the CRITIC-entropy weight method using actual bus network data. By combining multiple indicator dimensions through the idea of a composite evaluation model, the scientificity of indicator selection is improved.
2. In response to the temporal and spatial dynamics of urban bus networks, this paper constructed a line resilience analysis model based on the resilience cycle theory and a set of resilience quantification factors. The example analysis results show that the bus line resilience analysis model based on the resilience cycle theory can accurately reflect the degree of impact of sudden events on bus lines from the perspective of temporal and spatial dynamics, with lines having higher resilience values being less affected.
3. In response to the structural static nature of urban bus networks, this paper abstracted the bus network into an undirected weighted complex network and based on the centrality concept of complex network theory, constructed a bus network resilience analysis model. The example analysis results show that this model accurately reflects the resilience value of the entire bus network from the perspective of the network's structural static nature.  
The research framework and models proposed in this paper for the analysis of the resilience of urban bus networks not only fill the theoretical research gap in the field of public transportation network resilience but also provide qualitative and quantitative analysis tools and methods for the operation and management departments of bus networks regarding their resilience.