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ABSTRACT摘要    Most global cities have a large volume of visitors every day. These visitors interact with locals and have noticeable impacts on the city. London is the type of city that actively attracts and interacts with tourists. Tourists are, almost by definition, a group of “spatial users” that do not live and work within the city in the long term. The way they move and navigate through the city relates to their plans and destinations, and it is not always easy to distinguish such a group from other spatial users. Therefore, it requires a special effort to study their movement patterns and to identify the relationship between the group and space. Instead of using traditional on-site observations, this research has explored a new method for collecting and converting social media platform data into movement patterns using the data from Flickr.大多数全球性的城市每天都有大量的游客。这些游客与当地人互动，对城市产生了明显的影响。伦敦是一个积极吸引游客并与游客互动的城市。从定义上讲，游客是一群“空间使用者”，他们长期不在城市内生活和工作。他们在城市中移动和导航的方式与他们的计划和目的地有关，要将这样一个群体与其他空间使用者区分开来并不总是容易的。因此，需要特别研究他们的运动模式，并确定群体与空间的关系。与传统的现场观察不同，本研究探索了一种新的方法，利用Flickr的数据收集社交媒体平台数据，并将其转化为运动模式。     Comparing with traditional data-collecting methods, the proposed method can cover a wider territory (5-km radius) and period (5 years), and most importantly, it collects users’ movement data without interfering with their regular activities, which might collect more natural movement results. The essential concept of movement data conversion is to arrange the geo-tagged photos of each Flickr user per day by the time sequence during their itinerary. The sets of sorted photos will reflect the visit order each user has gone through. The geographical data of the arranged photos can be converted into the topological travel routes. Finally, the routes will be mapped onto the base map using the proposed method. The collected data from the Flickr platform provide a wide range of information from static content to movement flow. These data are crucial in studying tourist activities and their related space.与传统的数据采集方法相比，该方法覆盖范围更广(5 km半径)，周期更广(5年)，最重要的是在不干扰用户正常活动的情况下采集用户的运动数据，可以采集到更自然的运动结果。移动数据转换的基本概念是按照每个Flickr用户每天行程中的时间顺序排列带有地理标记的照片。这组经过排序的照片将反映每个用户访问的顺序。排列好的照片的地理数据可以转换成拓扑出行路线。最后，利用该方法将路径映射到基地地图上。从Flickr平台收集的数据提供了从静态内容到移动流的广泛信息。这些数据对于研究旅游活动及其相关空间是至关重要的。

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