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Analyzing Student Mobility Patterns and Route Preferences: A GIS- and Mental Map-based Study at Politeknik Negeri Ujung Pandang, Indonesia.

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Title: Analyzing Student Mobility Patterns and Route Preferences: A GIS- and Mental Map-based Study at Politeknik Negeri Ujung Pandang, Indonesia.
Authors: Ridwan, V. F.1 vitaridwan@poliupg.ac.id, Matsumura, N.2, Sarif1, Zakariah, A.1, Anton, E. E.1
Source: Civil Engineering Dimension. Mar2026, Vol. 28 Issue 1, p111-119. 9p.
Subjects: Student mobility, Route choice, Urbanization, Campus planning, Geoinformatics, Gender differences (Sociology), Geographical perception
Geographic Terms: Indonesia
Abstract: Current understanding of students' mobility patterns often overlooks the integration of perceptual experiences with spatial behavior, particularly in rapidly urbanizing Global South contexts where informal infrastructures and cognitive factors critically shape mobility. This study addresses this gap by analyzing route preference determinants at Politeknik Negeri Ujung Pandang using mental map sketches (n=165), questionnaires, and GIS-based spatial analysis. Key findings reveal: 1) dense morning commutes within 500m of campus versus afternoon dispersal into alternative routes up to 2km; 2) distance (r = 0.876, p < 0.01) and travel time (r = 0.699, p < 0.01) dominate choices, outweighing convenience (r = 0.196, p < 0.05); and 3) gendered behaviors, with 65% of alternative route users were males. The findings validate Hägerstrand's Time-Geography model and recommend arterial corridor optimization and safety retrofits, advancing an equitable framework for campus mobility planning. [ABSTRACT FROM AUTHOR]
Copyright of Civil Engineering Dimension is the property of Institute of Research & Community Outreach - Petra Christian University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Analyzing Student Mobility Patterns and Route Preferences: A GIS- and Mental Map-based Study at Politeknik Negeri Ujung Pandang, Indonesia.
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Civil+Engineering+Dimension%22&quot;&gt;Civil Engineering Dimension&lt;/searchLink&gt;. Mar2026, Vol. 28 Issue 1, p111-119. 9p.
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  Data: Current understanding of students&#39; mobility patterns often overlooks the integration of perceptual experiences with spatial behavior, particularly in rapidly urbanizing Global South contexts where informal infrastructures and cognitive factors critically shape mobility. This study addresses this gap by analyzing route preference determinants at Politeknik Negeri Ujung Pandang using mental map sketches (n=165), questionnaires, and GIS-based spatial analysis. Key findings reveal: 1) dense morning commutes within 500m of campus versus afternoon dispersal into alternative routes up to 2km; 2) distance (r = 0.876, p &lt; 0.01) and travel time (r = 0.699, p &lt; 0.01) dominate choices, outweighing convenience (r = 0.196, p &lt; 0.05); and 3) gendered behaviors, with 65% of alternative route users were males. The findings validate H&#228;gerstrand&#39;s Time-Geography model and recommend arterial corridor optimization and safety retrofits, advancing an equitable framework for campus mobility planning. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: &lt;i&gt;Copyright of Civil Engineering Dimension is the property of Institute of Research &amp; Community Outreach - Petra Christian University and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.9744/ced.28.1.111-119
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 9
        StartPage: 111
    Subjects:
      – SubjectFull: Student mobility
        Type: general
      – SubjectFull: Route choice
        Type: general
      – SubjectFull: Urbanization
        Type: general
      – SubjectFull: Campus planning
        Type: general
      – SubjectFull: Geoinformatics
        Type: general
      – SubjectFull: Gender differences (Sociology)
        Type: general
      – SubjectFull: Geographical perception
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      – SubjectFull: Indonesia
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      – TitleFull: Analyzing Student Mobility Patterns and Route Preferences: A GIS- and Mental Map-based Study at Politeknik Negeri Ujung Pandang, Indonesia.
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            NameFull: Ridwan, V. F.
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            NameFull: Matsumura, N.
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              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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