基于微博的西安市居民夜间活动时空分布研究  

STUDY ON SPATIO-TEMPORAL DISTRIBUTION OF RESIDENTS'NOCTURNAL ACTIVITIES OF XI'AN BASED ON MICRO-BLOG

作　　者：陈宏飞[1] 李君轶[1] 秦超[1] 刘广[2] 孙九林[1,3] 

机构地区：[1]陕西师范大学旅游与环境学院,西安710062 [2]陕西师范大学网络信息中心,西安710062 [3]中国科学院地理科学与资源研究所,北京100101

出　　处：《人文地理》2015年第3期57-63,共7页Human Geography

基　　金：国家自然科学基金(41001077);陕西师范大学院士创新项目(999521)

摘　　要：在我国城市化过程中,由于城市基础设施、公共交通等方面规划建设的需要,对居民活动的研究成为人文地理及城市规划领域所关注的重点。随着"大数据"时代的到来,改变了以往研究居民活动的方式。本文通过新浪微博平台提供的API接口,采用Ajax技术抓取包含时空信息的西安市微博数据,运用Arc GIS10.1中的热度分析工具,以可视化的表达形式揭示出:西安市居民夜间活动在大尺度范围内与城市的区域定位、居民结构及活动时间关系密切。同时,本文采用微博数据来研究居民活动的方法为研究这类问题提供了一种新的尝试。In recent years, social media has gained worldwide development. Twitter and Weibo are regarded as lifelogs. Users are able to record personal lives through social media, and meanwhile the locating function of mobile phones helps users to identify their location. Scholars all over the world use social media, for example twitter, as social sensors to carry out studies on social events, public opinion monitoring, traffic accidents testing and natural disaster warnings and forecasts. The article focuses on Sina Weibo, one of the most widely used social media in China, as the data resource to analyze residents＇ outdoor activities. 1323577 Weibo data were collected dated from July 2th to Dec. 2th in 2013 in Xi＇an through Sina API with the technology of Ajax. The data were firstly structured, and then users in Xi＇an were solely selected according to their registration location. Data posted from 5pm to 12 am were selected and divided into 4 groups with those gathered in every two hours in one group. Lastly, with the application of Getis- Ord Gi＊ in Arc GIS10.1, in the form of statistics, the temporal and spatial distribution characteristics of Xi＇an residents＇ night life activities were demonstrated. According to the findings from popularity chart and increase or decrease chart, residents＇ night life in Xi＇an city is closely associated with their living area, status in a large scale. In terms of time, the number of Weibo in general increases firstly, and then decreases, which indicates Xi＇an residents night life are mainly scheduled on the researched period of time, and beside the number of residents in commercial districts has an increase- decrease tendency. Spatially speaking, traditional commercial districts are still preferred by residents, and they are most crowded in the researched period of time.

关 键 词：微博 夜间 可视化 居民活动 时空分布 

分 类 号：K901.3[历史地理—人文地理学]