Journal of Geo-information Science ›› 2019, Vol. 21 ›› Issue (1): 68-76.doi: 10.12082/dqxxkx.2019.180235

Special Issue: 人口与城市研究

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Spatial Structure and Population Flow Analysis in Chengdu-Chongqing Urban Agglomeration based on Weibo Check-in Big Data

Bilin PAN1,3(), Jianghao WANG2, Yong GE2, Mingguo MA3,*()   

  1. 1. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China
    2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    3. Chongqing Engineering Research Center for Remote Sensing Big Data Application, Southwest University, Chongqing 400715,China
  • Received:2018-05-10 Revised:2018-11-21 Online:2019-01-20 Published:2019-01-20
  • Contact: Mingguo MA E-mail:Panbilin_nju@163.com;mmg@swu.edu.cn
  • Supported by:
    Higher Education Teaching Reform Project of Chongqing, No.183171;Chongqing R&D Project of the High Technology and Major Industries, No.2017-1231;Chinese Academy of Sciences Undergraduate Innovation Training Program

Abstract:

With the rapid development of regional integration, nowadays the regional inter-city migration gets the more attention of the scholars at home and abroad. Micro-blog, as one of the most popular application in China, has become a hotspot of research in areas such as sociology and computer. Check-in, as one of Micro-blog's functions, can reflect the flow of inter-city population in real time. We used the crawler program to collect the research samples in the Chengdu-Chongqing urban agglomeration in January 2014. The information includes the Micro-blog's unique ID number, the grid coordinates of Micro-blog sending place, and the city code of the registered place, etc. By running this program, a total of 804204 valid Micro-blog check-in data weare obtained from the Chengdu-Chongqing urban agglomeration. Based on Micro-blog checking areas, this study analyzeds the spatial structure of the Chengdu-Chongqing urban agglomeration. And Wwe combined the micro-blog data with the traditional socioeconomic data, in order to analyze the impact factors of the regional migration. The results indicates that the spatial structure of micro-blog shows the characteristics of "many centers of dual-core" group in this area. There are only two cities whose micro-blog flows are more than 100,000. They are Chengdu and Chongqing, forming athe “dual-core”. The direction of Micro-blog flow is affected by administrative division, and the intensity of Micro-blog flow presents a certain grade difference. The network shows an obvious hierarchy, and it closely correlatesnnects with the actual social-economic area closely, such as GDP, population size and the strength of traffic connection. For Chengdu and Chongqing, its GDP ranksed first and second,1, 2 respectively, with athe population size all of greater than 7.59 million and both as a regional transport hubs, it makes their micro-blogWeibo flows areintensity in ranked 1st and, 2nd, places respectively. Lastly, there are still some differences between Micro-blog's space and the actual geographic space inof Chengdu-Chongqing urban agglomeration. In the background of the national Yangtze River Economic Belt and China's new urbanization, we put the network information into the geographical space. Actually In this paper we discovered the spatial network characteristics of Chengdu-Chongqing urban agglomeration, and then this paper pointeds out the influence of socioeconomic factors on Micro-blog cyberspace flow. Of course, there may still be other factors behind Micro-blog's cyberspace, which need to be explored and analyzed in the future.

Key words: inter-city migration, spatial structure, impact factor, big data, check-in, Chengdu-Chongqing Urban Agglomeration