Popis: |
Mass traffic stations are key nodes in integrated traffic networks. The scientific definition of station types is of great significance for the refined management of stations and network operations. Using the Xiamen BRT track double-mode network system as the research object, this study analyzed the characteristics and hierarchical relationships of the station network and used complex network analysis to classify stations within the network. By constructing a Space-L-directed weighted complex network model based on station passenger flows, this study proposes four indicators: node strength, weighted betweenness centrality, weighted closeness centrality, and weighted PageRank. A system-clustering method was used to classify the stations. The results are as follows: (1) In the complex network model, the network sites can be divided into six types: core-hub type, local connection, network transition, strong network conduction, weak network conduction, and network-end. The important sites of the network are gathered at the center of Xiamin island, and the secondary sites of the network are distributed on the periphery of the regular spatial network. The important sites of the network outside the island are distributed in mature urban construction areas, and the secondary sites are scattered in preliminary urban construction development areas. (2) All transfer station types have different characteristics. Single-mode transfer stations have the ability to adjust network passenger flow and accommodate the transfer capacity of passenger flow between various regions of the city, whereas double-mode transfer stations have the ability to attract network passenger flow, and the station and other stations on the network. It is closely connected and has high accessibility; single-mode and double-mode combined transfer stations have the ability to promote network passenger flow, and have high passenger flow connection strength and global passenger flow influence ability. (3) Among the single-mode stations in the BRT-metro transit network, the BRT stations perform better than the metro stations. This feature is more obvious in the island area owing to the unbalanced development of the east and west areas of the island. The station classification index and method proposed in this study can reveal the characteristics of station networks, which can improve the operational efficiency of urban BRT-rail network systems. |