## 4 Empirical Research
### Chongqing's Transportation Infrastructure Planning Based on the Coordinate Planning Method
#### 4.3.3 The Results of Coordinate Planning
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Number** & **Time(s)** & **99.5\% Lower Limit** & **99.5\% Upper Limit** & **Difference Between Upper and Lower Limits** \\ \hline \(3\times 10^{9}\) & 2818.16 & 169.99 & 170.51 & 0.52 \\ \(5\times 10^{9}\) & 4710.18 & 169.91 & 170.24 & 0.33 \\ \(7\times 10^{9}\) & 6108.25 & 169 & 169.1 & 0.1 \\ \(9\times 10^{9}\) & 7842.88 & 169 & 169.1 & 0.1 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: _Cont._A single transportation infrastructure construction project is separated in the network model to calculate the AUT and _put_, which can provide a preliminary understanding of the construction value of the transportation infrastructure and provide reference for determining the sequence for priority of construction. Based on the impact of each path on the efficiency of the network, the implementation priority can be determined as 10, 2, 4, 19, 8, 12, 7, 9, 5, 6, 22, 25, 28, 21, 20, 14, 3, 27, 29, 30, 1, 23, 24, 26, 31, 11, 15, 16, 17, 18, 13. Comparative Analysis of Isolated Planning and Coordinate Planning for Transportation Infrastructure in Megacities  
Based on the research results in Section 4.2, the implementation sequence of Chongqing's transportation infrastructure is as follows: 26, 5, 25, 17, 27, 20, 6, 31, 28, 21, 10, 22, 23, 24, 11, 12, 13, 14, 4, 9, 1, 2, 3, 15, 16, 7, 8, 31, 18, 19, 30. According to this sequence, the corresponding lines of ID are input into the network model to execute a set of simulation calculations (\(1\times 10^{9}\) times), recording all simulated data. In total, 31 lines are input into the model one by one to execute 31 sets of simulation calculations, obtaining \(32\times 10^{9}\) simulated data points. The time distribution of these simulated data is shown in Figure 5. With the continuous input of lines, the average, median, and lower quartile recorded from each set of \(1\times 10^{9}\) simulation times continue to decrease, while the maximum, minimum, and upper quartile remain basically unchanged. Similarly, the optimized implementation sequence of Chongqing's transportation infrastructure planning based on the AA-DNDP method is as follows: 26, 5, 25, 17, 27, 20, 6, 31, 28, 21, 10, 22, 23, 24, 11, 12, 13, 14, 4, 9, 1, 2, 3, 15, 16, 7, 8, 31, 18, 19, 30. The corresponding transportation infrastructure routes are sequentially input into the network structure to execute simulation calculations. The data distribution is presented in Figure 6.  
The AA-DNDP method can adjust the implementation sequence of megacity transportation infrastructure planning, and can also obtain the theoretical variation range of network efficiency for different implementation sequences by calculating the _TIG_ matrix. The upper limit of the efficiency changes in implementing the transportation infrastructure planning for Chongqing through the enumeration algorithm is shown in Figure 7. The corresponding optimal sequence is as follows: 2, 4, 9, 3, 10, 5, 6, 7, 11, 12, 21, 8, 28, 31, 13, 20, 22, 25, 1, 14, 19, 23, 24, 26, 15, 16, 17, 18, 27, 29, 30. Figure 5: Temporal distribution of transportation efficiency in Chongqing’s infrastructure implementation planning based on the traditional method. Meanwhile, the lower limit of network efficiency changes can be obtained in the _TIG_ matrix as shown in Figure 8, and the worst corresponding sequence is 15, 16, 17, 18, 27, 29, 30, 1, 14, 19, 23, 24, 26,13, 20, 22, 25, 8, 28, 31, 11, 12, 21, 5, 6, 7, 3, 10, 2, 4, 9. To visually illustrate the impact of different implementation sequences on the network efficiency variation in transportation infrastructure, the median changes in four different sequences are plotted in Figure 9. In Figure 9, the median variations in four different sequences are plotted to demonstrate the changes in the efficiency of the transportation infrastructure among the four implementation schemes. Figure 6: Temporal distribution of transportation efficiency in Chongqing’s infrastructure implementation planning based on the AA-DNDP coordination method.