## 5 Case Study  
### Project Overview and Data Sources  
The underground building area of the Qi'an Fu project is 114,460 m\({}^{2}\), the depth is 18-22 m, and the circumference is about 950 m. The construction company of this engineering procurement construction (EPC) project is the China Railway Construction Group Co., Ltd., which has extensive experience in conducting EPC projects. This project is the first complex urban project of this company in Huanggang City. Therefore, the supply chain elasticity for construction machinery and construction materials is poor. The project site is located on an alluvial-diluvial terrace with flat areas, gullies, and depressions. The geological and geomorphic conditions are favorable, and the excavation of the deep foundation pit is straightforward. The surrounding environment of the deep foundation pit is complex. The distance from Baitan Lake (18 km\({}^{2}\)) is only 200 m. In addition, there are many utility tunnels in the nearby deep foundation pit. These two unfavorable factors result in high requirements for the construction quality of the support structures. The construction period of the deep foundation pit is about 6 months and falls outside the Yangtze River flood season. Therefore, the construction of the deep foundation pit is not affected by flood disasters, and the flood control and drainage measures are relatively simple.  
The information on the 20 experts evaluating the risks is listed in Table 2.  
The experts work in engineering management; they include 14 experts from construction units, 2 from design units, 3 from scientific research units, and 1 from the government. Sixteen experts have bachelor's degrees or above, indicating that they have a solid theoretical foundation. Fourteen experts have more than 10 years of deep foundation pit experience. Eighteen experts worked on this particular deep foundation pit project; thus, they were familiar with the research. The Cronbach \(\alpha\) coefficients of the questionnaire were calculated; they exceed 0.7, indicating the reliability of the qualitative index scores [23].  
The quantitative indices were obtained monthly using field investigations. The data set \(\left[x_{ij}\right]_{\ell\times 20}\) used for the weight calculation and risk evaluation is listed in Table 3.  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**No.** & **Work Unit** & **Education** & **Work Experience** &
\begin{tabular}{c} **Participated in** \\ **This Project** \\ \end{tabular} \\ \hline (1) & Scientific unit & Doctor & 21 & Yes \\ (2) & Scientific unit & Doctor & 8 & No \\ (3) & Scientific unit & Doctor & 17 & Yes \\ (4) & Construction unit & Bachelor & 5 & Yes \\ (5) & Construction unit & Master & 13 & Yes \\ (6) & Construction unit & Associate College & 28 & Yes \\ (7) & Construction unit & Bachelor & 4 & Yes \\ (8) & Construction unit & Master & 3 & Yes \\ (9) & Construction unit & Associate College & 32 & Yes \\ (10) & Construction unit & Bachelor & 14 & Yes \\ (11) & Construction unit & Bachelor & 13 & No \\ (12) & Construction unit & Associate College & 35 & Yes \\ (13) & Construction unit & Bachelor & 17 & Yes \\ (14) & Construction unit & Master & 5 & Yes \\ (15) & Construction unit & Associate College & 30 & Yes \\ (16) & Construction unit & Bachelor & 12 & Yes \\ (17) & Construction unit & Bachelor & 7 & Yes \\ (18) & Design unit & Doctor & 10 & Yes \\ (19) & Design unit & Master & 14 & Yes \\ (20) & Government & Doctor & 29 & Yes \\ \hline \hline \end{tabular}
\end{table}
Table 2: Personal information on the 20 experts.