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<front>
<journal-meta>
<journal-id journal-id-type="publisher">AGILE-GISS</journal-id>
<journal-title-group>
<journal-title>AGILE: GIScience Series</journal-title>
<abbrev-journal-title abbrev-type="publisher">AGILE-GISS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">AGILE GIScience Ser.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2700-8150</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/agile-giss-7-50-2026</article-id>
<title-group>
<article-title>Assessing Perceived Walkability: a case study using eye-tracking and think-aloud with street images</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zuo</surname>
<given-names>Chenyu</given-names>
<ext-link>https://orcid.org/0009-0004-9484-4286</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Stöckl</surname>
<given-names>Fabian</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>Stegmeier</surname>
<given-names>Elisa</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>Xu</surname>
<given-names>Jiale</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>Olbrich</surname>
<given-names>Jonas</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>Haselmayr</surname>
<given-names>Teresa</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>Glavinić</surname>
<given-names>Leo</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>Nuhn</surname>
<given-names>Eva</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Geoinformatics Group, University of Augsburg, Augsburg, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>10</day>
<month>06</month>
<year>2026</year>
</pub-date>
<volume>7</volume>
<elocation-id>50</elocation-id>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Chenyu Zuo et al.</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://agile-giss.copernicus.org/articles/7/50/2026/agile-giss-7-50-2026.html">This article is available from https://agile-giss.copernicus.org/articles/7/50/2026/agile-giss-7-50-2026.html</self-uri>
<self-uri xlink:href="https://agile-giss.copernicus.org/articles/7/50/2026/agile-giss-7-50-2026.pdf">The full text article is available as a PDF file from https://agile-giss.copernicus.org/articles/7/50/2026/agile-giss-7-50-2026.pdf</self-uri>
<abstract>
<p>GIS has been widely used to measure objective walkability at the city and street levels. However, perceived walkability is mostly assessed at the city or neighborhood scale and relies heavily on participants&amp;rsquo; post hoc evaluations. In this case study, we propose a method to measure perceived walkability at the street level and identify its physical signifier. Our approach combines eye-tracking with retrospective think-aloud protocols while participants rate the perceived walkability of street photos. We analyzed the perceived walkability from 33 participants and assessed perceived walkability across five categories: sense of safety, sense of security, convenience, comfort, and visual interest. Results indicate that footpath quality, traffic conditions, and the presence of other pedestrians play key roles in shaping perceived walkability.</p>
</abstract>
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