Spatio-Temporal Differentiation of High-Speed Rail Network in the Yellow River Basin
To explore the structural evolution characteristics of high-speed rail network in the Yellow River Basin in 2010,2015,2020 and 2023.Python was used to obtain OD high-speed rail operation frequency data among 90 cities in the Yellow River Basin in each year,and social network analysis method was used to construct high-speed rail network in the Yellow River Basin,and the spatio-temporal differentiation characteristics of high-speed rail network structure in the Yellow River Basin were discussed.The results show that the city degree value of the Yellow River Basin increases gradually,and the distribution of node degree value of the high-speed railway net-work is more uniform.The centrality of intermediary agencies in Zhengzhou and Xi'an ranks high.The average clustering coefficient decreases year by year,and the city role of urban hub node is prominent.The decrease of the average path indicates that the accessibility level of the high-speed rail network is continuously improved,and the network accessibility among cities in the Yellow River Basin is enhanced.The density of the network is gradually in-creased,and the tightness between urban nodes is gradually strengthened.
high-speed railway networkspatial-temporal variancesocial networkthe Yellow River Basin
万方数据
维普
