# Planning Urban Internal Transport Based on Cell Phone Data
## 4 Results  
### Analysis of the City's Internal Transportation Links  
Taking towns as units, we count the average daily travel volume of each town and the average daily travel volume across districts. Quantitative analysis was performed to obtain statistics of trips between towns (Table 2), and the map (Figure 6) of spatial linkage intensity between different regions to better determine the characteristics of regional passenger flow and provide a basis for the adjustment and construction of traffic road networks [29]. The total number of passenger trips within the city limits of Wuxue City totals 635,900\(\bullet d^{-1}\). Inter-regional travel occurs mainly in the Wuxue District and Meichuan Township.  
\begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline
**O/D** & **1** & **2** & **3** & **4** & **5** & **6** & **7** & **8** & **9** & **10** & **11** & **12** \\ \hline Dajin Town & 2522 & 64 & 263 & 2247 & 358 & 891 & 2074 & 249 & 344 & 1138 & 5523 & 213 \\ Wanzhanghuit District & 55 & 201 & 22 & 375 & 50 & 180 & 113 & 43 & 562 & 43 & 1534 & 41 \\ Yuchuan Town & 287 & 25 & 2236 & 722 & 133 & 1862 & 2042 & 131 & 355 & 252 & 2748 & 209 \\ Shifosi Town & 2221 & 354 & 719 & 6038 & 686 & 2992 & 2449 & 576 & 1117 & 869 & 11,298 & 495 \\ Dafasi Town & 347 & 44 & 143 & 708 & 2939 & 414 & 575 & 853 & 265 & 607 & 5528 & 1038 \\ Huaqiao Town & 913 & 174 & 1884 & 2988 & 406 & 10,072 & 2247 & 366 & 1694 & 655 & 8356 & 431 \\ Meichuan Town & 2070 & 125 & 2049 & 2494 & 613 & 2218 & 21,772 & 488 & 766 & 1445 & 9616 & 610 \\ Kanjiang District & 250 & 36 & 133 & 582 & 846 & 357 & 472 & 956 & 272 & 254 & 6567 & 764 \\ Longping Town & 343 & 558 & 350 & 1147 & 272 & 1648 & 767 & 261 & 3642 & 264 & 7009 & 300 \\ Siwang Town & 1155 & 40 & 251 & 875 & 598 & 682 & 1146 & 268 & 272 & 2159 & 3837 & 224 \\ Wuxue District & 5476 & 1455 & 2791 & 11,438 & 5570 & 8366 & 9686 & 6735 & 7034 & 3958 & 131,266 & 7137 \\ Tianzhen district & 235 & 35 & 197 & 488 & 1028 & 443 & 582 & 766 & 306 & 235 & 7115 & 3332 \\ \hline \hline \end{tabular} The first row of numbers corresponds to each township: 1. Dujin Town; 2. Wanzhanghuit District; 3. Yuchuan Town; 4. Shifosi Town; 5. Dafasi Town; 6. Huaqiao Town; 7. Meichuan Town; 8. Kanjiang district; 9. Longping Town; 10. Siwang Town; 11. Wuxue district; 12. Tianzhen district.  
\end{table}
Table 2: Statistics of trips between towns.  
Figure 6: Spatial linkage intensity between different regions. (**a**) Administrative district level. (**b**) Township district level.  
The table fills the larger travel volume with color. The yellow markers show that the main urban area, Wuxue District, is strongly connected to Shifosi Town, Huaqiao Town, Meichuan Town, Longping Town, and Tian Town District, with the connection axis being Meichuan-Dajin-Shifosi-Wuxue, running north-south, mainly along the Mayang Expressway, and Tian Town-Wuxue-Longping at the southern end of Wuxue City, running east-west along the Yangtze River, the overall traffic connection strength shows a spatial development pattern with Wuxue Street as the intersection and a horizontal and vertical direction (Figure 7a). The green markers show that a stronger town connection is mainly between Meichuan Town, Yuchuan Town, Huaqiao Town, Shifosi Town, and Dajin Town (Figure 7b), and the traffic demand space is circular, which can increase the circular traffic facilities in order to evacuate the urban traffic gathering.  
We count the internal travel OD passenger flow of each town (Figure 8). Meichuan town has the highest intra-town travel volume, followed by Huaqiao town and Shifosi town. For the areas with high intra-regional travel rates, considering their internal traffic demand degree is large, we can increase the public transportation operation, analyze the important traffic nodes according to the travel OD, and reasonably design the bus routes to solve intra-town traffic travel.  
Figure 8: Internal travel OD statistics for each town.  
Figure 7: Spatial connection analysis. (**a**) City and town links. (**b**) Town and town links.