## 3 Results
### Results of IDEMATEL
#### 3.1.1 Results of Constructing the Influencing Factor Set
The average and coefficient of variation are calculated according to Formula (4). The results are shown in Table 4, showing that the consistency of the experts' scores is high. From the results verified in Table 4, we can see that there are 12 effective indicators that can be used as the research factors affecting the wind resilience of China's coastal historical districts. In order to ensure the rationality of this study, it was finally determined to summarize the 12 influencing factors into four aspects, block level, building level, typhoon characteristics, and emergency management, to establish a system of influencing factors for the wind resilience of China's coastal historical districts, as shown in Table 5. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Indicator** & **Average** & **Coefficients of** & **Indicator** & **Average** & **Coefficients of** \\  & **Values** & **Variation** & **Values** & **Variation** \\ \hline Windproof design & 4.9438 & 0.0468 & Architect composition & 4.9663 & 0.0365 \\ Block form & 4.0449 & 0.2004 & Typhoon direction & 4.0562 & 0.1979 \\ Building Structure & 4.9775 & 0.0299 & Block density & 4.9888 & 0.0212 \\ Typhoon level & 3.8764 & 0.2124 & Block direction & 3.8202 & 0.2109 \\ Emergency Plan & 4.9663 & 0.0365 & Hazard investigation & 4.9551 & 0.0420 \\ Typhoon wind speed & 3.9438 & 0.2036 & Safety Education & 3.9101 & 0.2027 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Average values and coefficients of variation of indicators. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Primary** & **Secondary** & **Indicator Definition** & **Coding** \\
**Indicator** & **Indicator** & & \\ \hline \multirow{5}{*}{Block level} & Block density & Block density is the ratio of building area to land area & \(S_{1}\) \\ \cline{2-4}  & Block form & The space between the road surface and the buildings on either side, along with the wind field characteristics around the block, significantly influences how wind impacts the buildings & \(S_{2}\) \\ \cline{2-4}  & Block direction & The varying angles between the blocks and the wind direction result in different distributions of wind load across the building surfaces & \(S_{3}\) \\ \hline \multirow{5}{*}{Building level} & Architect composition & The different organizational forms of buildings significantly affect the wind field & \(S_{4}\) \\ \cline{2-4}  & Building structure & The extent of damage to various building structures will also differ & \(S_{5}\) \\ \cline{2-4}  & Windproof design & Selecting suitable building forms and materials can enhance a building’s wind resistance & \(S_{6}\) \\ \hline \multirow{5}{*}{Typhoon characteristics} & Typhoon level & Tropical cyclones are primarily classified into six categories based on the wind speed near their center & \(S_{7}\) \\ \cline{2-4}  & Typhoon level & In the northern hemisphere, typhoons rotate counterclockwise. However, the relationship between various locations and typhoons differs, resulting in varying wind directions at each site & \(S_{8}\) \\ \cline{2-4}  & Typhoon wind speed & Wind speed is a crucial parameter for numerically simulating the wind load characteristics of buildings & \(S_{9}\) \\ \hline \multirow{5}{*}{Emergency Management} & Emergency Plan & Integrating local conditions with scientific data is essential for developing effective response plans & \(S_{10}\) \\ \cline{2-4}  & Hazard investigation & Identifying areas vulnerable to typhoons can enhance wind resilience & \(S_{11}\) \\ \cline{1-1} \cline{2-4}  & Safety Education & Enhancing the public’s ability to prevent, withstand, and respond to disasters can be achieved through educational initiatives and practical drills & \(S_{12}\) \\ \cline{1-1} \cline{2-The influencing factor indexes can be determined from Table 5, and the system influencing factor set \(S\) is constructed according to Formula (5). \[S=\{S_{1},S_{2},S_{3},S_{4},S_{5},S_{6},S_{7},S_{8},S_{9},S_{10},S_{11},S_{12}\}\]