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Delineation of an urban agglomeration boundary based on Sina Weibo microblog 'check-in' data: A case study of the Yangtze River Delta

机译:基于新浪微博“签到”数据的城市群边界划定:以长江三角洲为例

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摘要

Statistical, morphological, and modelling methods have long been used to delineate spatial boundaries of urban agglomeration. According to the theory of space of flows in the era of globalisation and informatisation, we developed a new approach that uses activity data to analyse activity intensity, closeness, and connection to comprehensively delineate the boundaries of urban agglomeration. We also collected 1,545,449 valid check-in records of the Sina Weibo microblog over two weeks to empirically delineate the boundary of the Yangtze River Delta urban agglomeration (YRDUA) in China. According to our new method, we determined that the space of the YRDUA was much smaller than that based on the administrative division. The socioeconomic index system for the regional planning of the YRDUA (2009-2015) yielded a more accurate result. (C) 2016 Elsevier Ltd. All rights reserved.
机译:长期以来,统计,形态和建模方法一直被用来描绘城市群的空间边界。根据全球化和信息化时代的流动空间理论,我们开发了一种使用活动数据来分析活动强度,亲密性和联系性的新方法,以全面地描绘出城市群的边界。我们还收集了两周内新浪微博的1,545,449份有效签到记录,以经验勾勒出中国长江三角洲城市群(YRDUA)的边界。根据我们的新方法,我们确定YRDUA的空间要比基于行政区划的空间小得多。 YRDUA(2009-2015)区域规划的社会经济指标体系产生了更准确的结果。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Cities》 |2017年第ptaa期|180-191|共12页
  • 作者单位

    Nanjing Univ, Dept Architecture & Urban Planning, Wenke Bldg 616, Nanjing 210093, Jiangsu, Peoples R China;

    Nanjing Univ, Dept Architecture & Urban Planning, Wenke Bldg 616, Nanjing 210093, Jiangsu, Peoples R China;

    Nanjing Univ, Dept Architecture & Urban Planning, Wenke Bldg 616, Nanjing 210093, Jiangsu, Peoples R China|Nanjing Univ, Dept Geog & Oceanog Sci, Nanjing, Jiangsu, Peoples R China;

    Univ Hong Kong, Dept Geog, Hong Kong, Hong Kong, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    people's activity; boundary delineation; Sina Weibo check-in data; Yangtze River Delta urban agglomeration;

    机译:人的活动边界划定新浪微博签到数据长江三角洲城市群;

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