One of the main tasks in analyzing pedestrian movement is to detect places where pedestrians stop, as those places usually are associated with specific human activities, and they can allow us to understand pedestrian movement behavior. Very few approaches have been proposed to detect the locations of stops in positioning data sets, and they often are based on selecting the location of candidate stops as well as potential spatial and temporal thresholds according to different application requirements. However, these approaches are not suitable for analyzing the slow movement of pedestrians where the inaccuracy of a nondifferential global positioning system commonly used for movement tracking is so significant that it can hinder the selection of adequate thresholds. In this article, we propose an exploratory statistical approach to detect patterns of movement suspension using a local indicator of spatial association (LISA) in a vector space representation. Two different positioning data sets are used to evaluate our approach in terms of exploring movement suspension patterns that can be related to different landscapes: players of an urban outdoor mobile game and visitors of a natural park. The results of both experiments show that patterns of movement suspension were located at places such as checkpoints in the game and different attractions and facilities in the park. Based on these results, we conclude that using LISA is a reliable approach for exploring movement suspension patterns that represent the places where the movement of pedestrians is temporally suspended by physical restrictions (e.g., checkpoints of a mobile game and the route choosing points of a park).

中文翻译：

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探索行人流动中的运动暂停模式。

分析行人运动的主要任务之一是检测行人停车的地方，因为这些地方通常与特定的人类活动相关联，并且它们可以使我们了解行人运动的行为。已经提出了很少的方法来检测定位数据集中的停靠点位置，并且它们通常基于根据不同的应用需求选择候选停靠点的位置以及潜在的空间和时间阈值。但是，这些方法不适用于分析行人的慢速运动，因为通常用于运动跟踪的非差分全球定位系统的不准确性非常明显，以至于可能会妨碍选择适当的阈值。在这篇文章中，我们提出了一种探索性的统计方法，可以使用向量空间表示中的空间关联局部指标（LISA）来检测运动悬挂的模式。在探索可能与不同景观相关的运动悬挂模式方面，使用了两个不同的定位数据集来评估我们的方法：城市户外移动游戏的玩家和自然公园的游客。这两个实验的结果表明，运动暂停的模式位于游戏中的检查站以及公园中不同景点和设施等地方。根据这些结果，我们得出结论，使用LISA是探索运动暂停模式的可靠方法，该运动暂停模式表示行人的运动在时间上受到身体限制（例如，