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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJPDS</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Population Data Science</journal-title>
        <abbrev-journal-title>IJPDS</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2399-4908</issn>
      <publisher>
        <publisher-name>Swansea University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.23889/ijpds.v9i5.2885</article-id>
      <article-id pub-id-type="publisher-id">9:5:393</article-id>
      <title-group>
        <article-title>Demographic characteristics of those who cycle commute and the effect access to on- and off-road cycle paths has on cycle commute uptake.</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Berrie</surname>
            <given-names initials="L">Laurie</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Dibben</surname>
            <given-names initials="C">Chris</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Feng</surname>
            <given-names initials="Z">Zhiqiang</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Clemens</surname>
            <given-names initials="T">Tom</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Williamson</surname>
            <given-names initials="L">Lee</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>University of Edinburgh</institution></aff>
      <pub-date date-type="pub" publication-format="electronic">
        <day>18</day>
        <month>09</month>
        <year>2024</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2024</year>
      </pub-date>
      <volume>9</volume>
      <issue>5</issue>
      <elocation-id>2885</elocation-id>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licences/by/4.0/">
          <license-p>This work is licenced under a Creative Commons Attribution 4.0 International License.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://ijpds.org/article/view/2885">This article is available from the IJPDS website at: https://ijpds.org/article/view/2885</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>Increasing cycle commute uptake could be an important approach to improving worker health and reducing carbon emissions, congestion and air pollution. In order to increase cycle commute uptake, we must understand the characteristics of those who already cycle to work and the aspects of physical infrastructure that could promote cycling.</p>
    </sec>
    <sec>
      <title>Approach</title>
      <p>In this work, we use administrative data pertaining to those in employment aged 16-74 years living and working in Glasgow and Edinburgh, Scotland on the night of the 2011 population census. We calculate distances to the nearest cycle path for each individual from cycle route data from around the time of the census that were made computer readable. We looked at the characteristics of those who cycled to work and how proximity to nearest cycle path differed between groups along with how distance from place of residence and place of work to nearest cycle path influenced cycle commute uptake.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>We show how the propensity to cycle commute differs across population characteristics such as sex, age and the National Statistics Socio-economic classification and how the interaction of these factors affects propensity to cycle commute. We also show the ways in which living and working closer to on- and off-road cycle paths increases the likelihood of cycle commuting.</p>
    </sec>
    <sec>
      <title>Discussion</title>
      <p>The results of this study can be used to inform the most promising groups to aim cycling interventions at thereby improving health and environmental outcomes.</p>
    </sec>
  </body>
</article>