## 3 Results
### MICMAC Results
#### 3.3.2 Dependence Degree-Driving Force Analysis Diagram  
The \(X\) and \(Y\) axes represent dependence degree and driving force, with the average values of dependence degree and driving force serving as the quadrant dividing line [44], a dependence degree-driving analysis diagram is created based on the values of dependence degree and driving force for each influencing factor shown in Table 8, as illustrated in Figure 7.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Influencing Factors** & \(\mathbf{Q}\) & \(\mathbf{Y}\) & **Influencing Factors** & \(\mathbf{Q}\) & \(\mathbf{Y}\) \\ \hline \(S_{1}\) & 1 & 2 & \(S_{7}\) & 1 & 6 \\ \(S_{2}\) & 1 & 4 & \(S_{8}\) & 4 & 2 \\ \(S_{3}\) & 1 & 3 & \(S_{9}\) & 2  
Analyzing Figure 7 reveals the distribution of various influencing factors across the quadrants, illustrating their driving forces and dependencies. Each quadrant indicates the role and significance of the factors within the overall system of wind resilience. The spontaneous factor group in the first quadrant includes block density (\(S_{1}\)), building structure (\(S_{5}\)), and typhoon direction (\(S_{8}\)). Factors in this quadrant exhibit low dependence and driving force, indicating simpler relationships among them. When addressing factors influencing the wind resilience of China's coastal historical districts, those in this quadrant should be prioritized. These factors typically occupy the middle layer of the multi-layer hierarchical structure model and exhibit both correlation and mediation effects. These factors can influence those in the upper layer while also being constrained by factors in the lower layer. Consequently, they are not easily controlled indirectly by affecting other factors. Moreover, if a spontaneous factor is compromised, it can trigger a chain reaction throughout the system. The second quadrant of dependent factors includes windproof design (\(S_{6}\)). The influencing factors in this quadrant depend on lower-level factors and are influenced by their driving forces, making it difficult for them to affect other factors. They are considered direct influencing factors. As shown in Figure 7, the factors in this quadrant are positioned in the first layer of the ISM model, which aligns with the actual structural model. The third quadrant, representing the linkage factor group, includes hazard investigation (\(S_{11}\)). Factors in this quadrant exhibit both high dependence and high driving force, indicating their significant role in influencing other factors while also being heavily influenced by them. In the wind resilience influencing factor system of China's coastal historical districts, hazard investigation (\(S_{11}\)) serves as a transitional influencing factor, facilitating the transmission of influence from lower factors to upper factors. This highlights its critical role in the overall dynamics of the system. As illustrated in Figure 7, the influencing factors in the third layer of the multi-layer hierarchical structure model can transmit the influence of lower factors to higher factors. They can also affect the wind resilience of China's coastal historical districts through independent actions, aligning with the actual structural model. The fourth quadrant, representing the independent factor group, includes block form (\(S_{2}\)), block direction (\(S_{3}\)), architectural composition (\(S_{4}\)), typhoon level (\(S_{7}\)), typhoon wind speed (\(S_{9}\)), emergency plan (\(S_{10}\)), and safety education (\(S_{12}\)). Factors in this quadrant exhibit low dependence and high driving force, indicating that they can influence other factors without being significantly affected themselves. The factors in this quadrant act as driving factors within the system, characterized by low dependence and high driving force. They continue to influence other factors while being relatively unaffected by the dynamics of the system. These factors represent the root influencing factors in the system affecting the wind resilience of China's coastal historical districts.