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• W3100798774 startingPage "033404" @default.
• W3100798774 abstract "The results of transportation infrastructure network analyses have been used to analyze complex networks in a topological context. However, most modeling approaches, including those based on complex network theory, do not fully account for real-life traffic patterns and may provide an incomplete view of network functions. This study utilizes trip data obtained from the Beijing Subway System to characterize individual passenger movement patterns. A directed weighted passenger flow network was constructed from the subway infrastructure network topology by incorporating trip data. The passenger flow networks exhibit several properties that can be characterized by power-law distributions based on flow size, and log-logistic distributions based on the fraction of boarding and departing passengers. The study also characterizes the temporal patterns of in-transit and waiting passengers and provides a hierarchical clustering structure for passenger flows. This hierarchical flow organization varies in the spatial domain. Ten cluster groups were identified, indicating a hierarchical urban polycentric structure composed of large concentrated flows at urban activity centers. These empirical findings provide insights regarding urban human mobility patterns within a large subway network." @default.
• W3100798774 created "2020-11-23" @default.
• W3100798774 creator A5010243176 @default.
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• W3100798774 date "2016-03-22" @default.
• W3100798774 modified "2023-10-14" @default.
• W3100798774 title "Network structure of subway passenger flows" @default.
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• W3100798774 doi "https://doi.org/10.1088/1742-5468/2016/03/033404" @default.
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