标题：Explorative Analysis of Wuhan Intra-Urban Human Mobility Using Social Media Check-In Data作者：Li, Lin; Yang, Lei; Zhu, Haihong; Dai, Rongrong
来源出版物：PLOS ONE 卷：10 期：8 文章编号：e0135286 DOI：10.1371/journal.pone.0135286 出版年：AUG 19 2015
摘要：Social media check-in data as a geo-tagged information source have been used for revealing spatio-temporal patterns in the field of social and urban study, such as human behavior or public issues. This paper investigates a case study and presents a new method of representing the mobility of people within a city from check-in data. By dividing the data in a temporal sequence, this study examines the overall mobility in the case study city through the gradient/difference of population density with a series of time after computing the population density from the check-in data using an incorporated Thiessen polygon method. By classifying check-in data with their geo-tags into several groups according to travel purposes, and partitioning the data according to administrative district boundaries, various moving patterns for those travel purposes in those administrative districts are identified by scrutinizing a series of spatial geometries of a weighted standard deviational ellipse (WSDE). Through deep analyses of those data by the adopted approaches, the general pattern of mobility in the case city, such as people moving to the central urban area from the suburb from 4 am to 8 am, is ascertained, and different characteristics of movement in those districts are also depicted. Furthermore, it can tell that in which district less movement is likely for a certain purpose (e.g., for dinner or entertainment). This study has demonstrated the availability of the proposed methodology and check-in data for investigating intra-urban human mobility.
入藏号：WOS:000360018600043
文献类型：Article
语种：English
扩展关键词：TRAVEL ANALYSIS; SURFACE MODELS; URBAN FORM; NETWORK
通讯作者地址：Yang, Lei; Wuhan Univ, Sch Resources &*Environm Sci, Wuhan 430072, Peoples R China.
电子邮件地址：yangleigis@whu.edu.cn; hhzhu@whu.edu.cn
地址：[Li, Lin; Yang, Lei; Zhu, Haihong; Dai, Rongrong] Wuhan Univ, Sch Resources &*Environm Sci, Wuhan 430072, Peoples R China.
研究方向：Science & Technology - Other Topics
ISSN：1932-6203
影响因子（2014）：3.234
