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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Annals</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9050</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-annals-XI-4-2026-313-2026</article-id>
<title-group>
<article-title>Detecting Urban Spatial Porosity and Fragmentation from Local Population Patterns</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kumagai</surname>
<given-names>Kiichiro</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>Shiraishi</surname>
<given-names>Ayano</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Setsunan University, 17-8, Ikeda-Nakamachi, Neyagawa, Osaka 572-8508 Japan</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Setsunan University, 17-8, Ikeda-Nakamachi, Neyagawa, Osaka 572-8508 Japan</addr-line>
</aff>
<pub-date pub-type="epub">
<day>10</day>
<month>07</month>
<year>2026</year>
</pub-date>
<volume>XI-4-2026</volume>
<fpage>313</fpage>
<lpage>321</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Kiichiro Kumagai</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/XI-4-2026/313/2026/isprs-annals-XI-4-2026-313-2026.html">This article is available from https://isprs-annals.copernicus.org/articles/XI-4-2026/313/2026/isprs-annals-XI-4-2026-313-2026.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/XI-4-2026/313/2026/isprs-annals-XI-4-2026-313-2026.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/XI-4-2026/313/2026/isprs-annals-XI-4-2026-313-2026.pdf</self-uri>
<abstract>
<p>In Japan, the combined effects of declining birth and marriage rates have accelerated population decline, leading to spatial porosity and fragmentation in urbanised areas: a phenomenon known as &amp;ldquo;Urban spongification&amp;rdquo;. This study analyses local population distributions in order to identify localised low-population areas embedded within densely populated urban environments, with the aim of understanding spatial porosity and fragmentation in Osaka Prefecture. A multi-scale spatial autocorrelation approach was applied to detect the spatial extent of localised low-population areas, and results were compared between 1995 and 2020. The analysis further examined how the formation and change of localised low-population areas differ across use districts (i.e., zoning categories) and according to long-term land-use transition histories. The findings reveal pronounced spatial variability within districts that cannot be captured by conventional population density metrics alone. The study demonstrates that the emergence, persistence, and transformation of localised low-population areas are closely related to use district regulations and historical land-use processes. These results provide insights into the spatial processes contributing to urban porosity and fragmentation and offer a basis for future evaluations of residential inducement areas designated under Location Optimisation Plans.</p>
</abstract>
<counts><page-count count="9"/></counts>
</article-meta>
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