## 3 Case Study
### Analysis of Influenced OD Passenger Flow
#### 3.4.3 OD Passenger Flow at the Transfer Station  
Military Museum station, which is the transfer station on line 1 and line 9, and its abnormality were analyzed in Section 3.2.3. The tap-in passenger flow of line 1 and line 9 at Military Museum station at 7:00-9:00 is shown in Tables 4 and 5, respectively. It can be  
Figure 8: OD passenger flow at Bajiao Amusement Park station (line 1).  
\begin{table}
\begin{tabular}{l l l l l l} \hline \hline
**Time Period** & **Upper Bound** & **Lower Bound** & **Tap-In Passenger Flow** & \
\begin{tabular}{l} **Decreased Passenger** \\ **Flow** \\ \end{tabular} &
\begin{tabular}{l} **Increased Passenger** \\ **Flow** \\ \end{tabular} \\ \hline
7:00–7:15 & 1495 & 925 & 1034 & 0 & 0 \\
7:15–7:30 & 1632 & 1379 & 1355 & 24 & 0 \\
7:30–7:45 & 2097 & 1223 & 752 & 471 & 0 \\
7:45–8:00 & 2202 & 1088 & 515 & 573 & 0 \\
8:00–8:15 & 1821 & 1295 & 1009 & 286 & 0 \\
8:15–8:30 & 1457 & 1112 & 1604 & 0 & 147 \\
8:30–8:45 & 1468 & 647 & 1116 & 0 & 0 \\
8:45–9:00 & 917 & 520 & 825 & 0 & 0 \\ \hline \multicolumn{5}{c}{Total} & \multicolumn{3}{c}{1354} & \multicolumn{1}{l}{147} \\ \hline \hline \end{tabular}
\end{table}
Table 3: The tap-in passenger flow at Babaoshan station.  
Figure 9: OD passenger flow at Babaoshan station (line 1).  
seen that the passenger flow of line 1 at Military Museum station decreased by 88, while the passenger flow of line 9 at Military Museum station increased by 69. In other words, 78.41% of passengers chose to transfer to line 9 to continue their travel after the disruption, and 21.59% of the passengers chose to leave the rail transit system and continue to travel by other travel modes.  
Similarly, the OD passenger flow at Military Museum station is shown in Figure 10. As a transfer station close to the disrupted station, the passenger flow at Military Museum station on line 1 significantly decreased after the disruption, and most of the passengers who exited the flow were short-distance travelers. On the contrary, the passenger flow at Military Museum station on line 9 increased because passengers chose to transfer to line 9 after the disruption. In general, the disruption had a great influence on the passengers traveling long distances at the transfer station. Due to the functions of the transfer station, the impact of the disruption propagated to the transfer line, which significantly increased the passenger flow on the transfer line.  
\begin{table}
\begin{tabular}{l l l l l} \hline
**Time Period** & **Upper Bound** & **Lower Bound** & **Tap-In Passengers** & **Decrease in Passengers** & **Increase in Passengers** \\ \hline
7:00–7:15 & 224 & 141 & 151 & 0 & 0 \\
7:15–7:30 & 237 & 179 & 190 & 0 & 0 \\
7:30–7:45 & 298 & 236 & 253 & 0 & 0 \\
7:45–8:00 & 326 & 242 & 253 & 0 & 0 \\
8:00–8:15 & 346 & 175 & 87 & 88 & 0 \\
8:15–8:30 & 266 & 196 & 269 & 0 & 3 \\
8:30–8:45 & 256 & 161 & 241 & 0 & 0 \\
8:45–9:00 & 183 & 130 & 199 & 0 & 0 \\ \hline \end{tabular}
\end{table}
Table 4: The tap-in passenger flow at Military Museum station on line 1.  
Figure 10: OD passenger flow at Military Museum station.  
\begin{table}
\begin{tabular}{l l l l l l} \hline
**Time Period** & **Upper Bound** & **Lower Bound** & **Tap-In Passengers** & **Decrease in Passengers** & **Increase in Passengers** \\ \hline
7:00–7:15 & 91 & 37 & 60 & 0 & 0 \\
7:15–7:30 & 112 & 65 & 102 & 0 & 0 \\
7:30–7:45 & 127 & 88 & 98 & 0 & 0 \\
7:45–8:00 & 156 & 121 & 117 & 0 & 0 \\
8:00–8:15 & 195 & 116 & 201 & 0 & 6 \\
8:15–8:30 & 145 & 117 & 200 & 0 & 55 \\
8:30–8:45 & 125 & 91 & 129 & 0 & 4 \\
8:45–9:00 & 121 & 70 & 125 & 0 & 4 \\ \hline \end{tabular}
\end{table}
Table 5: The tap-in passenger flow at Military Museum station on line 9.