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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher">setsci</journal-id>
   <journal-title-group>
    <journal-title>SETSCI Conference Proceedings</journal-title>
   </journal-title-group>
   <issn publication-format="electronic">2687-5527</issn>
   <publisher>
    <publisher-name>SET Technology</publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">10.36287/setsci.23.36.001</article-id>
   <article-id pub-id-type="publisher-id">21e1c363-82b7-4af4-aa23-4c187ffc8ef4</article-id>
   <title-group>
    <article-title>Visualizing Pedestrian Perception: Eye-Tracking Analysis for Walkable Urban Environments</article-title>
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" corresp="yes">
     <name>
      <surname>Sultana</surname>
      <given-names>Mahzerin</given-names>
     </name>
     <xref ref-type="aff" rid="aff1"/>
    </contrib>
    <contrib contrib-type="author">
     <name>
      <surname>Chowdhury</surname>
      <given-names>Shuva</given-names>
     </name>
     <xref ref-type="aff" rid="aff1"/>
    </contrib>
    <contrib contrib-type="author">
     <name>
      <surname>Gokaraju</surname>
      <given-names>Balakrishna</given-names>
     </name>
     <xref ref-type="aff" rid="aff2"/>
    </contrib>
    <contrib contrib-type="author">
     <name>
      <surname>Tesiero</surname>
      <given-names>Raymond C.</given-names>
     </name>
     <xref ref-type="aff" rid="aff1"/>
    </contrib>
    <contrib contrib-type="author">
     <name>
      <surname>Shahriar</surname>
      <given-names>Md Fahim</given-names>
     </name>
     <xref ref-type="aff" rid="aff3"/>
    </contrib>
   </contrib-group>
   <aff id="aff1">
    <institution>Civil, Architectural &amp; Environmental Engineering, North Carolina A&amp;T State University</institution>
   </aff>
   <aff id="aff2">
    <institution>Computational Data Science and Engineering, North Carolina A&amp;T State University</institution>
   </aff>
   <aff id="aff3">
    <institution>Management Information System, Lamar University</institution>
   </aff>
   <pub-date date-type="pub">
    <day>17</day>
    <month>07</month>
    <year>2025</year>
   </pub-date>
   <volume>23</volume>
   <fpage>403</fpage>
   <lpage>410</lpage>
   <permissions>
    <copyright-statement>© 2025 SET Technology</copyright-statement>
    <copyright-year>2025</copyright-year>
    <copyright-holder>SET Technology</copyright-holder>
    <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
     <license-p>CC BY 4.0</license-p>
    </license>
   </permissions>
   <abstract>
    <p>Understanding pedestrian perception is essential for designing walkable and inclusive urban environments. This study employs real-world eye-tracking to investigate how pedestrians visually engage with urban streetscapes during everyday navigation. Using wearable eye-tracking technology, the research captures gaze behavior and fixation patterns across various streetscape elements including sidewalks, crosswalks, greenery, and building facades. The analysis reveals that features associated with spatial clarity and safety—such as curbs and well-defined pedestrian paths—receive prolonged visual attention. Natural elements like vegetation also play a significant role in shaping visual comfort and environmental appeal. Gaze data&#13;
segmented by Areas of Interest (AOIs) shows a clear hierarchy of visual focus, suggesting that spatial composition and surface detail directly impact cognitive processing and navigation. Additionally, gender-based differences in attention strategies indicate the need for inclusive design that supports diverse user behaviors. By translating subconscious visual behavior into actionable insights, this research contributes to the advancement of evidence-based urban design practices. The results highlight how realtime perceptual data can inform the creation of more intuitive, comfortable, and engaging city spaces.</p>
   </abstract>
   <kwd-group xml:lang="en">
    <kwd>Eye-Tracking</kwd>
    <kwd>Pedestrian Perception</kwd>
    <kwd>Urban Design</kwd>
    <kwd>Visual Attention</kwd>
    <kwd>Walkability</kwd>
   </kwd-group>
  </article-meta>
 </front>
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  <ref-list>
   <ref id="ref1">
    <mixed-citation>A. Shemesh, R. Talmon, O. Karp, I. Amir, M. Bar, and Y. J. Grobman, &quot;Affective response to architecture–investigating human reaction to spaces with different geometry,&quot; Architectural Science Review, vol. 60, no. 2, pp. 116-125, 2017.</mixed-citation>
   </ref>
   <ref id="ref2">
    <mixed-citation>A. Bojko, &quot;Informative or misleading? Heatmaps deconstructed,&quot; in Human-Computer Interaction. New Trends: 13th International Conference, HCI International 2009, San Diego, CA, USA, July 19-24, 2009, Proceedings, Part I 13, 2009: Springer, pp. 30-39.</mixed-citation>
   </ref>
   <ref id="ref3">
    <mixed-citation>J. Simpson, K. Thwaites, and M. Freeth, &quot;Understanding Visual Engagement with Urban treet Edges along Non-Pedestrianised and Pedestrianised Streets Using Mobile Eye-Tracking,&quot; Sustainability, vol. 11, no. 15, p. 4251, 2019. [Online]. Available: https://www.mdpi.com/2071-1050/11/15/4251.</mixed-citation>
   </ref>
   <ref id="ref4">
    <mixed-citation>M. Debnath et al., &quot;An investigation of urban pedestrian behaviour in Bangladesh using the Perceptual Cycle Model,&quot; Safety Science, vol. 138, p. 105214, 2021/06/01/ 2021, doi: https://doi.org/10.1016/j.ssci.2021.105214.</mixed-citation>
   </ref>
   <ref id="ref5">
    <mixed-citation>H. J. Rosas, A. Sussman, A. C. Sekely, and A. A. Lavdas, &quot;Using eye tracking to Reveal responses to the built environment and its constituents,&quot; Applied Sciences, vol. 13, no. 21, p. 12071, 2023.</mixed-citation>
   </ref>
   <ref id="ref6">
    <mixed-citation>A. Koltsova, B. Tunçer, and G. Schmitt, &quot;Visibility analysis for 3D urban environments,&quot; in eCAADe 2013: Computation and Performance–Proceedings of the 31st International Conference on Education and research in Computer Aided Architectural Design in Europe, Delft, The Netherlands, September 18-20, 2013, 2013: Faculty of Architecture, Delft University of Technology; eCAADe (Education ….</mixed-citation>
   </ref>
   <ref id="ref7">
    <mixed-citation>R. Liu and P. Neisch, &quot;Measuring the effectiveness of street renewal design: Insights from visual preference surveys, deep-learning technology, and eye-tracking simulation software,&quot; Landscape and Urban Planning, vol. 256, p. 105291, 2025/04/01/ 2025, doi: https://doi.org/10.1016/j.landurbplan.2024.105291.</mixed-citation>
   </ref>
   <ref id="ref8">
    <mixed-citation>B. Jiang, L. Larsen, B. Deal, and W. C. Sullivan, &quot;A dose–response curve describing the relationship between tree cover density and landscape preference,&quot; Landscape and urban planning, vol. 139, pp. 16-25, 2015.</mixed-citation>
   </ref>
   <ref id="ref9">
    <mixed-citation>M. Gutiérrez-Roig et al., &quot;Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians,&quot; Royal Society open science, vol. 3, no. 7, p. 160177, 2016.</mixed-citation>
   </ref>
   <ref id="ref10">
    <mixed-citation>S. Yao, N. Wang, and J. Wu, &quot;How does the built environment affect pedestrian perception of road safety on sidewalks? Evidence from eye-tracking experiments,&quot; Transportation Research Part F: Traffic Psychology and Behaviour, vol. 110, pp. 57-73, 2025/04/01/ 2025, doi: https://doi.org/10.1016/j.trf.2025.02.005.</mixed-citation>
   </ref>
   <ref id="ref11">
    <mixed-citation>Y. Hakiminejad, E. Pantesco, and A. Tavakoli, &quot;Shaping Passenger Experience: An Eye-Tracking Study of Public Transportation Built Environment,&quot;arXiv preprint arXiv:2501.02641, 2025.</mixed-citation>
   </ref>
   <ref id="ref12">
    <mixed-citation>J. B. Hollander, A. Sussman, P. Lowitt, N. Angus, and M. Situ, &quot;Eye-tracking emulation software: A promising urban design tool,&quot; Architectural Science Review, vol. 64, no. 4, pp. 383-393, 2021.</mixed-citation>
   </ref>
   <ref id="ref13">
    <mixed-citation>N. Li, S. Zhang, L. Xia, and Y. Wu, &quot;Investigating the Visual Behavior Characteristics of Architectural Heritage Using Eye-Tracking,&quot; Buildings, vol. 12, no. 7, p. 1058, 2022. [Online]. Available: https://www.mdpi.com/2075-5309/12/7/1058.</mixed-citation>
   </ref>
   <ref id="ref14">
    <mixed-citation>G. Kim, D. Yeo, J. Lee, and S. Kim, &quot;Simulating urban element design with pedestrian attention: Visual saliency as aid for more visible wayfinding design,&quot; Land, vol. 12, no. 2, p. 394, 2023.</mixed-citation>
   </ref>
   <ref id="ref15">
    <mixed-citation>A. A. Lavdas, &quot;Eye-Tracking Applications in Architecture and Design,&quot; Encyclopedia, vol. 4, no. 3, pp. 1312-1323, 2024. [Online]. Available: https://www.mdpi.com/2673-8392/4/3/86.</mixed-citation>
   </ref>
   <ref id="ref16">
    <mixed-citation>E. Mehrinejad Khotbehsara, K. Somasundaraswaran, T. Kolbe-Alexander, and R. Yu, &quot;The influence of spatial configuration on pedestrian movement behaviour in commercial streets of low-density cities,&quot; Ain Shams Engineering Journal, vol. 16, no. 1, p. 103184, 2025/01/01/ 2025, doi: https://doi.org/10.1016/j.asej.2024.103184.</mixed-citation>
   </ref>
  </ref-list>
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</article>
