An Exploration of the Presence and Flows of Visitors in the City using the Social Media Data in London

基于伦敦社交媒体数据对游客穿行驻留的探索

YUTAO SONG；KAYVAN KARIMI；

University College London；University College London.

伦敦大学学院；伦敦大学学院

KEYWORDS: Tourist Flow, Flickr, Segment Map, Photography

关键词：客流，Flickr(雅虎旗下图片分享网站)，线段模型，摄影

本文来自第十二届空间句法北京会议，文件夹 "New Technology" ,序号 255；

链接地址：http://www.12sssbeijing.com/upload/file/1562664559.pdf

【浙江工业大学理论课作业】

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.

全球各地的大部分城市每天都有着大量的游客。这些游客与当地人产生互动，对城市造成影响。伦敦就是那种积极地吸引游客并与之产生互动的城市之一。从某种定义上来讲，游客是一群非长期在该城市生活和工作的"空间使用者"。他们在城市中游览的方式与他们的计划和目的地有关，要将这样一类群体与其他类型的空间使用者区分开来并不容易。因此，这需要花大量的努力来研究他们的运动模式，并确定这个群体与空间的关系。本研究没有采用传统的现场观察法，而是利用 Flickr 的数据，探索出了一种采集社交媒体数据并将其转换为运动模式的新方法。

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，该方法可以覆盖到更广的地域（半径5公里）和更长的时间段（5年），更重要的是，它能在不影响用户正常活动的情况下收集用户的运动数据，并且可能会收集到更加自然的运动结果。运动数据转换的基本概念是将 Flickr 用户每天所有照片中的地理标签按照时间顺序排列。排序后的照片集会反映每个用户当天的游览顺序。因此经排列的照片地理标签可以被转换成旅行的拓扑路线。最后，将所有的拓扑路线根据研究所选用的方法投射到一张底图上。从 Flickr 平台得到到的数据包含了从静态停留到运动流量的大量信息，这些数据对于研究游客的活动与空间至关重要。

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