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<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLI-B6-275-2016</article-id>
<title-group>
<article-title>MEASURING POLYCENTRICITY OF MEGA-CITY REGIONS IN CHINA BASED ON THE INTERCITY MIGRATION FLOWS</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mu</surname>
<given-names>Xiaoyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yeh</surname>
<given-names>Anthony G. O.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, Pokfulam Road, Hong Kong</addr-line>
</aff>
<pub-date pub-type="epub">
<day>17</day>
<month>06</month>
<year>2016</year>
</pub-date>
<volume>XLI-B6</volume>
<fpage>275</fpage>
<lpage>281</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2016 Xiaoyan Mu</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLI-B6/275/2016/isprs-archives-XLI-B6-275-2016.html">This article is available from https://isprs-archives.copernicus.org/articles/XLI-B6/275/2016/isprs-archives-XLI-B6-275-2016.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLI-B6/275/2016/isprs-archives-XLI-B6-275-2016.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLI-B6/275/2016/isprs-archives-XLI-B6-275-2016.pdf</self-uri>
<abstract>
<p>This paper uses the intercity migration flows to examine relations between Chinese cities, identify the important mega-city regions and measure each region&apos;s polycentricity from an interaction perspective. Data set contains the long-term residential migration trajectories of three million &lt;i&gt;Sina weibo&lt;/i&gt; users across 345 cities. Cities with close connectivity deployed around one or several mega cities are identified as mega-city regions. Features of the mega-city regions are characterized by the strength of migration flows, density of connections, and regional migration patterns. The results show that the disparities exist in different mega-city regions; most mega-city regions are lack of polycentricity.</p>
</abstract>
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