基于城市微博签到数据的人群活动时空特征分析  

Analysis on the Spatiotemporal Characteristics of Human Activities Based on Urban Weibo Check-in Data

作　　者：王迪 左小清[1] WANG Di;ZUO Xiaoqing(School of Land and Resources Engineering,Kunming University of Science and Technology,Kunming 650093,China)

机构地区：[1]昆明理工大学国土资源工程学院,云南昆明650093

出　　处：《地理信息世界》2020年第2期21-26,共6页Geomatics World

摘　　要：城市是社会经济发展的核心区域,城市的人类活动与土地利用、空间结构有重要内在关系。掌握人类的活动信息并进一步挖掘其活动规律有利于城市的科学规划和精细化管理。基于城市微博签到数据采用核密度分析、热点分析等不同统计分析方法分别从时间和空间角度对人群活动特征进行分析。研究发现:在传统作息规律决定签到活动的基础上,夜间活动的时间逐渐增加;人群活动空间分布不均匀,主要集中在景区附近,符合典型旅游城市人群分布特征;工作日与休息日人群空间分布高密度区近乎相同,但工作日人群空间分布相对分散在四面八方,而休息日相对集中于景区附近;将签到数量较为突出的时间点与具体空间分布情况结合,可以监测热点事件的发生。Cities are the core areas of social and economic development.There are close relationships between human activities and land use and the spatial structure of the city.The understanding of the regularities of human activities helps urban planning and management.Based on the Weibo check-in data,this article explores the spatio-temporal characteristics of human activities with the help of kernel density map and hotspot analysis.Results show that based on the traditional routine of human activities,people are more and more active at night.People’s spatial activities show significant spatial heterogeneity.Most of their activities concentrate on scenic spots,which is consistent with human activities in a typical tourism city.Besides,the spatial distributions of high-density areas of human activities on working days and day-off are almost the same.The former is relatively scattered in all directions,while the latter gathers around scenic spots.The understanding of the time when the check-in quantity is prominent and the corresponding spatial distribution help monitor hot events.

关 键 词：微博签到数据 人群活动 时空分析 监测热点事件 

分 类 号：O221.3[理学—运筹学与控制论]