基于铁路客运交通流的长三角城市网络关联性研究

Research on Urban Relevance in Yangtze River Delta Based on Railway Passenger Frequencies

基于长三角铁路客运班次数据,采用社会网络分析方法中的Netdraw可视化分析和中心性分析法,探讨长三角城市群26个主要城市的铁路客运交通流内部关联性,研究发现:省级层面:上海市与江苏省的城市铁路客运与其他城市关联更为密切,安徽省到达长三角其他城市最为便利;市级层面:南京市作为长三角地区的中心城市以及铁路客运中转站,辐射区域影响强度大并且关联最强;从时间上来看,春节期间,由于务工人员回家过年以及节后返城工作等因素,春运期铁路客运班次有所增加,上海的变化幅度最大;劳动节期间浙江省的铁路班次较于工作日出现了较低程度的负增长,其他时间段浙江省基本处于持平状态。

Based on the data of railway passenger traffic in the Yangtze River Delta,the Netdraw visualization analysis and centrality analysis method of the social network analysis were used to explore the internal correlation of railway passenger traffic flow in 26 major cities of the Yangtze River Delta urban agglomeration.The research finds that:at the provincial level,the urban railway passenger transport between Shanghai and Jiangsu Province is more closely related to other cities,and Anhui Province is most convenient to reach other cities in the Yangtze River Delta;At the municipal level:Nanjing is the central city and railway passenger transit station in the Yangtze River Delta region,and its radiation area has the strongest impact and correlation;From the time point of view,during the Spring Festival,due to migrant workers returning home for the Spring Festival and returning to work in the city after the festival,the number of passenger trains increased during the Spring Festival,and the Shanghai Railway shift changed the most;During the Labor Day,the number of railway flights in Zhejiang Province showed a relatively low negative growth compared with the working day,while in other periods,Zhejiang Province was basically in a flat state.