Multi-Index Comprehensive Evaluation of the Importance of Rail Transit Stations Considering the Change of Passenger Flow Time Series

摘要

Changes in passenger flow between stations largely impacts on the ranking of station importance. This paper provides a more accurate ranking of site importance considering the change of passenger flow. The evaluation of the site importance is based on static network and the impact of changes in the number of inbound and outbound stations in different time periods. This paper first constructs a two-layer rail transit network model based on passenger flow and physical topology. Next, inbound flows under time variation combined with complex network basic indicators such as degree, betweenness, and clustering coefficient are considered for site importance assessment. Finally, based on multiple site evaluation indicators, the TOPSIS is used to sort the sites in different time periods. It is found that the order of importance of Beijing railway station, Chaoyang men and other stations changes greatly in different time periods.