## 6 Conclusions and Recommendations  
The development of charging stations has become an important means for the country to successfully promote new energy vehicles. This paper uses the method of network analysis to deeply explore the layout of the charging stations of new energy vehicles in the five districts of Jinan City. Firstly, the charging station network model is constructed \begin{table}
\begin{tabular}{c c} \hline \hline
**Subgroup** & **Node** \\ \hline
1 & 1, 2, 3, 4, 5, 6, 7, 26, 9, 10, 11, 12, 13 \\
2 & 32, 33, 34, 35, 27, 28, 29, 30, 31 \\
3 & 18, 19, 16, 8, 22, 21, 20, 17 \\
4 & 24, 14, 15, 25, 23 \\
5 & 36, 37, 38, 43, 44, 41, 42, 47, 70, 45, 46, 69 \\
6 & 40, 58, 59, 39, 57, 53, 54, 52, 60, 51 \\
7 & 49, 55, 56, 50, 62, 63, 73, 48, 75, 67, 68, 74, 61, 71 \\
8 & 72, 64, 65, 66 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Condensed subgroup node distribution. Figure 6: Branching map of condensed subgroups. by the network analysis method, and then the local characteristics of the nodes and the overall characteristics of the network are analyzed according to the network static statistical indicators designed above, and their importance is ranked. According to the node local analysis metrics, the degree, degree centrality, and proximity centrality of the key node special call vehicle charging station (Jian Ginza Jiayi Harmony Yidian) are the largest, and have the greatest influence in the entire network. Therefore, more charging station points can be built near the station to ensure users' charging services. Secondly, according to the overall structure of the charging station network in the five districts of Jinan City, the network structure is further divided into communities, and the in-depth analysis is carried out between each small group. It is found that the core area node has a strong dominant role, and it has a strong attraction to the edge area node. Therefore, the road traffic flow in the core area is large, and there are more traffic arteries, showing a trend of decentralization to the edge area. Huaiyin District, Lixia District, Shizhong District, and Licheng District in the research area are located in the core area, and the charging stations are more distributed, which further indicates that the traffic flow in this area is large and the economic development level is high. Based on the above analysis, this paper hopes to provide certain theoretical and reference significance for investors and builders of new energy vehicle charging stations. Nodes with high node density should be maintained and operated to avoid damage that may affect user usage. However, the network structure of new energy vehicle charging stations often presents dynamic changes, showing different characteristics in different time and space, and with network analysis it is often difficult to capture and analyze this dynamic. Therefore, some dynamic indicators can be introduced to deeply explore the evolution law of the layout structure of new energy vehicle charging stations. To extend the modeling idea of this paper to other cities, the conditions of social economy, traffic factors, policies, and regulations should be considered comprehensively. For cities with similar conditions to this city, promotion can be considered, which will increase the depth of the study. However, some influencing factors unique to other cities should also be taken into account. Therefore, some references and ideas can be brought to other cities. From the actual situation, Lixia District, as the most economically developed area in the five regions, is indeed consistent with the actual situation. As the number of vehicles in Huaiyin District gradually increases, the number of charging stations also increases, and the results are basically consistent with the actual user demand pattern or vehicle ownership distribution. For peak hours, there may be some obstacles to the use of charging stations.