## 3 Case Analysis
### Resilience Enhancement  
Using the Statistical Product and Service Software Automatically 24.0 (SPSSAU 24.0) obstacle degree model (25)-(27) for analysis, the results are shown in Table 4 and Figure 4. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Target Layer** & \begin{tabular}{c} **Uncertainty** \\ **Measurement Vector** \\ \end{tabular} & **Criteria Layer** & **Weight** & \
\begin{tabular}{c} **Uncertainty** \\ **Measurement Vector** \\ \end{tabular} & **Index Level** & **Weight** &
\begin{tabular}{c} **Uncertainty** \\ **Measurement Vector** \\ \end{tabular} \\ \hline \multirow{6}{*}{A} & \multirow{6}{*}{(0.032,0.253,0.478,0.237,0)} & \multirow{6}{*}{A\({}_{1}\)} & \multirow{6}{*}{0.217} & \multirow{6}{*}{(0.047,0.201,0.346,0.06,0)} & A\({}_{11}\) & 0.233 & (0,0.024,0.76,0) \\  & & & & A\({}_{12}\) & 0.274 & (0,0.08,0.12,0) \\  & & & & A\({}_{13}\) & 0.248 & (0,10.81,0.0) \\  & & & & A\({}_{14}\) & 0.245 & (0,0.02,0.8,0) \\ \cline{2-6}  & & & & A\({}_{21}\) & 0.249 & (0,0.16,0.84,0) \\  & & & & A\({}_{22}\) & 0.221 & (0,0.26,0.74,0) \\  & & & & A\({}_{23}\) & 0.274 & (0,10.19,0.0) \\  & & & & A\({}_{24}\) & 0.256 & (0,0.01,0.48,0) \\ \cline{2-6}  & & & & A\({}_{31}\) & 0.225 & (0,0.46,0.54,0) \\  & & & & A\({}_{32}\) & 0.278 & (0,11.80,0.82,0) \\ \cline{2-6}  & & & & A\({}_{33}\) & 0.227 & (0,0.02,0.8,0) \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Calculation of unaccetrained measure. The primary factors identified as obstacles within the guideline layer are ranked as follows: recovery (A\({}_{2}\)), adaptability (A\({}_{3}\)), and resistance (A\({}_{1}\)). Within the specific indicator layer, the highest-ranked items include A\({}_{32}\), which pertains to the quality of flood emergency plans; A\({}_{23}\), which addresses the proportion of professional rescue personnel; A\({}_{33}\), which focuses on safety inspections and training; A\({}_{31}\), which involves flood emergency drills; A\({}_{24}\), which relates to the reserves of rescue materials; and A\({}_{34}\), which concerns flood information management. The vicinity of Jin'anqiao Metro Station is characterized by low-lying topography, particularly at exits B and C, where adjacent roadways are susceptible to water accumulation. During the significant rainfall event in Beijing on 18 July 2021, water accumulation was observed at the metro entrance, resulting in backflow into the station. In response, the metro company evaluated the issue of rainwater backflow and drew lessons from the severe flooding incident that occurred in Zhengzhou, Henan, on 20 July. Consequently, a series of remedial measures were implemented. In terms of resistance, renovations were made to the outdoor plaza, the pavement in front of the station was leveled, and a 1.2 m-high concrete flood wall was constructed at the front plaza. Additionally, high-strength flood barriers, measuring one meter in height, were installed at the station's entrances and exits. Regarding recovery, supplementary rainwater grates and drainage ditches were introduced, and the drainage infrastructure beneath Jin'anqiao on Beixin'an Road was upgraded to improve instantaneous drainage capacity. In terms of adaptability, lessons learned were documented, the flood emergency response plan was revised and enhanced, and comprehensive flood prevention drills and safety inspections were conducted. To further bolster the resilience of subway stations, it is imperative to enhance and implement the following measures:  
1. Enhancing Resistance Measures  
To improve flood resistance, it is essential to establish additional flood prevention barriers. This includes the installation of waterproof gates at the entrances of subway stations and critical passageways, similar to the practices implemented in the London \begin{table}
\begin{tabular}{c c c} \hline \hline  & \multicolumn{2}{c}{**Criteria Layer**} \\
**Obstacle Factor** & **Mean of Obstacle Degree \%** & **Sort** \\ \hline A\({}_{1}\) & 18.79 & 3 \\ A\({}_{2}\) & 41.84 & 1 \\ A\({}_{3}\) & 39.37 & 2 \\ \hline \hline \end{tabular}
\end{table}