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This paper divided users of squares around train stations into three groups of “passersby”, “users taking stop action” and “users taking stay action” and further divided the attention directions of the users taking stop / stay actions into four types. Analyses of density distribution found that stopping actions occur in a more expansive area than that of staying actions. In terms of the relation between space components and user actions, more people use a space as a meeting place when the space is more densely used. The study found that the classification based on the space users’ attention directions are significantly influenced by the user density. When the user density is extremely high or low, the space components do not function.

利用者の密度分布にみる駅周辺広場における停留・滞留特性