It is important to analyze the time distribution patterns of passenger flows in stations to grasp the travel patterns of passengers. In this paper, the major components of the time distrib-ution of passenger flows, including the basic pattern and the difference pattern, are extracted through the characteristic decomposition of the time distribution of passenger flows in stations. The GWR model is introduced for spatial analysis to study the influence of the percentage of commuter land, percentage of land under development, and node betweenness on the time dis-tribution of passenger flow. The results show that the basic pattern of the time distribution of inbound and outbound passengers in weekday stations is "saddle-shaped", and different patterns of passenger flow distribution and different station peaks are formed by superimposing different proportions of the basic pattern and different patterns. And there is a certain spatial correlation between the time distribution of passenger flow and the influencing factors.

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