地理科学 ›› 2015, Vol. 35 ›› Issue (2): 151-160.doi: 10.13249/j.cnki.sgs.2015.02.151

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基于签到数据的城市活动时空间动态变化及区划研究

王波1, 甄峰2,3(), 张浩4   

  1. 1.香港大学地理系,香港 999077
    2.南京大学建筑与城市规划学院,江苏 南京 210093
    3.南京大学人文地理研究中心,江苏 南京 210093
    4.江苏省基础地理信息中心, 江苏 南京 210093
  • 收稿日期:2014-01-20 修回日期:2014-04-15 出版日期:2015-02-15 发布日期:2015-02-15
  • 作者简介:

    作者简介:王波(1987-),男,湖南衡阳人,博士研究生,主要从事城市地理与区域规划研究。E-mail:wangbo_nick@163.com

  • 基金资助:
    国家自然科学基金项目(40971094)、江苏高校哲学社会科学研究重点项目(2011ZDIXM002)资助

The Dynamic Changes of Urban Space-time Activity and Activity Zoning Based on Check-in Data in Sina Web

Bo WANG1, Feng ZHEN2,3(), Hao ZHANG4   

  1. 1.Department of Geography, The University of Hong Kong, Hong Kong, China
    2.School of Architecture and Urban Planning, Nanjing University, Nanjing, Jiangsu 210093, China
    3.Research Center of Human Geography, Nanjing University, Nanjing, Jiangsu 210093, China
    4. Provincial Geomatics Center of Jiangsu, Nanjing, Jiangsu 210093, China
  • Received:2014-01-20 Revised:2014-04-15 Online:2015-02-15 Published:2015-02-15

摘要:

借助新浪微博,引入位置服务大数据,以南京市为例,从时间、空间、活动3个方面分析城市活动空间的动态变化,并在掌握变化规律的基础上进一步划分城市活动区域。研究发现:传统的作息规律仍然支配着人们的签到活动,时间与活动内容间的对应关系仍然存在;居民活动在工作日、休息日与节假日,以及主城与外围地区存在差异;城市活动空间在一天内经历了相对分散-集聚-进一步集聚-分散-相对集聚的动态变化;城市活动区域可以划分为就业活动区、居住活动区、休闲活动区、夜生活活动区,及综合活动区;活动功能区呈现出混合化与边界模糊化的特征。

关键词: 信息通信技术, 城市活动空间, 活动空间区划, 大数据

Abstract:

Since 1990s, information and communication technologies (ICTs) have experiecned a rapid development over the world. Information and communication devices have almost penetrated into each aspect of people’s daily life, and thus become the necessities in the modern world. Under this advancement, the inner relationship among activities, time and location has been theoretically changed because of a serious of the responding tele-activities. However, we still have little knowledge from the empirical studies due to the lack of data. Besides, as a part of urban social space analysis, a dynamic analysis of urban activity space is even scarce, albeit with its importance in understanding the undergoing and future changes in the E-society. Especially in China where is under the socio-economic transition, understanding residents’ own need and their real-time activity as well as the influence of ICTs on activity space are quite necessary for the future urban management and planning. With the aid of Location-based service (LBS), Global Positioning System (GPS) and other applications, ICTs helps to record people’s real space-time activity, which is one of the main sources of big data in recent research. Among them, given by the soaring popularity of online social network such as Sina micro-blog (the most influential social networking platform in China) and the LBS check-in application, the check-in data undoubtedly provide a real-time big data for the study of urban activity space. Based on this understanding, this article tries to analyze the dynamic changes of urban space-time activity focused on activity, time, and location, using the LBS checking-in data from Sina micro-blog. The results show that: 1) although some research argued that residents’ activity schedule would be more flexible by the help of ICTs, in this study we find that the traditional routine still dominate in residents’ check-in activities, and thus the rhythm of check-in activities could be used to reflect the corresponding relationship between time and activity; 2) there are differences of residents’ check-in activity between on working days, weekends, and holidays, as well as between in downtown and in outskirts, which reveals the difference of daily activities in reality; 3) in a day urban activity space experience dynamic changes, specifically, varied from relative disperse to agglomeration in the morning (6-12 O’clock) and keeps further agglomeration till the afternoon (12-18 O’clock); while encounters dispersion in the evening (18-24 O’clock), though with a relative agglomeration in the night (0-6 O’clock); 4) according to the dynamic changes, activity zones are subdivided into office area, bedroom area, leisure area, nightlife area, and multifunctional area; 5) these activity zones could be generally characterized as hybrid, within a blurred boundary.

Key words: ICTs, urban activity space, activity zonning, big data

中图分类号: 

  • K901