# Planning Urban Internal Transport Based on Cell Phone Data
## 5 Discussion
### Comparative Analysis before and after the Modification of the Planning Scheme  
The modified road network model is constructed to analyze road network accessibility and road density.  
1. Accessibility enhancement.  
Based on the minimum resistance accessibility, we obtain the accessibility of the road network after the planning modification (Figure 21). We calculate the area of different reachable time ranges to compare before and after modification, and calculate the difference between before and after, and then the difference is divided by the value before modification to get the ratio of the improvement value (Table 6). In areas where passenger flow is relatively concentrated, the arrival time has been shortened.  
The average distance value of cell phone data points arriving at the nearest intersection was calculated to be 429.24 m, and the standard deviation is 675.19 m. Additionally, 74.12% of the distance is less than 500 m. The road accessibility analysis map was obtained using a natural interruption point classification (Figure 22).  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & **Sort** & **Unit** & **Before** & **After** & **Promote** \\ \hline \multirow{4}{*}{Accessibility coverage area} & \multirow{4}{*}{City-wide accessibility} & 0–15 min & & 28.77 & 31.58 & 9.7\% \\  & & 15–20 min & & 439.23 & 445.35 & 1.3\% \\  & & 20–25 min & & 351.43 & 370.44 & 5.4\% \\  & & 25–30 min & & 243.98 & 220.76 & \(-\)9.5\% \\  & & \textgreater{}30 min & & 107.05 & 102.34 & \(-\)4.4\% \\ \cline{2-6}  & \multirow{2}{*}{Time required to arrive at the passenger terminal} & 0–5 min & & 330.48 & 339.91 & 2.8\% \\  & & 5–10 min & & 420.03 & 467.12 & 11.2\% \\  & & 10–15 min & & 95.61 & 93.33 & \(-\)2.3\% \\ \hline \multirow{2}{*}{ Road intersection accessibility} & \multirow{2}{*}{Average shortest path distance} & m & 537.40 & 429.25 & 20.1\% \\  & Proportion of the shortest path distance \textless{} 500 & \% & 67.64 & 74.12 & 9.5\% \\ \hline \hline \end{tabular}
\end{table}
Table 6: Comparison of accessibility indicators before and after modification.  
Figure 21: Accessibility analysis based on travel time after modification.  
2 Improvement of road network density.  
According to cell phone data and travel OD spatial analysis, with the suggested modifications, we reasonably increase the road in the data distribution concentration area and large travel passenger flow area. The road density analysis (Figure 23) below shows that the color of these areas has deepened, and the increase in road density enhances the decongestion capacity of the area to reduce traffic congestion.  
After the modification of increasing the high-grade road linking between towns and improving the internal road network, the total mileage of main roads is 1542.286 km, and the density of the main road network in Wuxue City is calculated to be 1.284 km/km\({}^{2}\), which is 109.177 km higher than the total mileage before modification, and the density of the main road network is increased by 7.3% (see in Table 7), mainly improving the road  
Figure 23: Analysis of road network density after modification.  
Figure 22: Accessibility analysis based on travel distance after modification.  
network in Meichuan Town, Huaqiao Town and Shifosi Town, the color in the passenger flow concentration area has deepened (see in Figure 24).