Tourism favors more economic activities, employment, revenues and plays a significant role in development; thus, the improvement of this activity is a strategic task. In this work, we show how social sensing can be used to understand the key characteristics of the behavior of tourists and residents. We observe distinct behavioral patterns in those classes, considering the spatial and temporal dimensions, where cultural and regional aspects might play an important role. Besides, we investigate how tourists move and the factors that influence their movements in London, New York, Rio de Janeiro and Tokyo. In addition, we propose a new approach based on a topic model that enables the automatic identification of mobility pattern themes, ultimately leading to a better understanding of users’ profiles. The applicability of our results is broad, helping to provide better applications and services in the tourism segment.

旅游业有利于更多的经济活动，就业，收入，并在发展中发挥重要作用；因此，改善这一活动是一项战略任务。在这项工作中，我们展示了如何使用社会感知来理解游客和居民行为的关键特征。考虑到空间和时间维度，在这些类别中我们观察到了不同的行为模式，在这些维度中文化和区域方面可能发挥重要作用。此外，我们调查了游客在伦敦，纽约，里约热内卢和东京的出行方式以及影响其出行的因素。此外，我们提出了一种基于主题模型的新方法，该方法能够自动识别移动性模式主题，从而最终更好地理解用户的个人资料。我们的结果适用范围广泛，