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<blockquote style="position: relative; padding-left: 55px;"><section><a href="https://datasci.social/users/mszll/statuses/110586800347768739">Michael Szell (mszll@datasci.social)'s status on Thursday, 22-Jun-2023 16:58:27 JST</a><a href="https://datasci.social/@mszll" title="mszll@datasci.social"><img src="https://gnusocial.jp/avatar/30520-48-20221118162621.webp" width="48" height="48" alt="Michael Szell" style="position: absolute; left: 0; top: 0;">Michael Szell</a></section><article><p>🥳  We just published "BikeDNA: A tool for bicycle infrastructure data and network assessment" in EPB, introducing our new tool BikeDNA 🚲 🧬 </p><p><a href="https://journals.sagepub.com/doi/10.1177/23998083231184471" rel="nofollow noreferrer">https://journals.sagepub.com/doi/10.1177/23998083231184471</a></p><p>BikeDNA is a :jupyter: :python: Python-based tool for assessing the quality of <a href="https://datasci.social/tags/OpenStreetMap" rel="tag">#OpenStreetMap</a> and other bike infrastructure data sets in a reproducible way. It provides planners, researchers, data maintainers, cycling advocates, a detailed, informed overview of data quality in a given area.<br><a href="https://github.com/anerv/BikeDNA" rel="nofollow noreferrer">https://github.com/anerv/BikeDNA</a></p></article><footer><a rel="bookmark" href="https://gnusocial.jp/conversation/1678710#notice-3302532">In conversation</a><time datetime="2023-06-22T16:58:27+09:00" title="Thursday, 22-Jun-2023 16:58:27 JST">Thursday, 22-Jun-2023 16:58:27 JST</time> <span>from <span><a href="https://datasci.social/@mszll/110586800347768739" rel="external" title="Sent from datasci.social via ActivityPub">datasci.social</a></span></span><a href="https://datasci.social/@mszll/110586800347768739">permalink</a><h4>Attachments</h4><ol><li><label><a rel="external" href="https://gnusocial.jp/attachment/1156006">Comparison of bike networks between two data sets in Greater Copenhagen. Two networks are overlaid, purple and orange</a></label><br><a href="https://sb-82bx3xp8al.b-cdn.net/media_attachments/files/110/586/785/513/365/643/original/cea0a910985f538b.png" rel="external">https://sb-82bx3xp8al.b-cdn.net/media_attachments/files/110/586/785/513/365/643/original/cea0a910985f538b.png</a></li><li><label><a rel="external" href="https://gnusocial.jp/attachment/1156007">Untitled attachment</a></label><br></li><li><article><header><div>Domain not in remote thumbnail source whitelist: repository-images.githubusercontent.com</div><h5><a href="https://github.com/anerv/BikeDNA">GitHub - anerv/BikeDNA: BikeDNA: Bicycle Infrastructure Data &amp; Network Assessment</a></h5><div></div></header><div>BikeDNA: Bicycle Infrastructure Data &amp; Network Assessment - GitHub - anerv/BikeDNA: BikeDNA: Bicycle Infrastructure Data &amp; Network Assessment</div><footer></footer></article></li></ol></footer></blockquote>

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Michael Szell (mszll@datasci.social)'s status on Thursday, 22-Jun-2023 16:58:27 JST Michael Szell
🥳 We just published "BikeDNA: A tool for bicycle infrastructure data and network assessment" in EPB, introducing our new tool BikeDNA 🚲 🧬
https://journals.sagepub.com/doi/10.1177/23998083231184471
BikeDNA is a :jupyter: :python: Python-based tool for assessing the quality of #OpenStreetMap and other bike infrastructure data sets in a reproducible way. It provides planners, researchers, data maintainers, cycling advocates, a detailed, informed overview of data quality in a given area.
https://github.com/anerv/BikeDNA
In conversationThursday, 22-Jun-2023 16:58:27 JST from datasci.socialpermalink
Attachments
1. Comparison of bike networks between two data sets in Greater Copenhagen. Two networks are overlaid, purple and orange
  https://sb-82bx3xp8al.b-cdn.net/media_attachments/files/110/586/785/513/365/643/original/cea0a910985f538b.png
2. Untitled attachment
3. Domain not in remote thumbnail source whitelist: repository-images.githubusercontent.com
  GitHub - anerv/BikeDNA: BikeDNA: Bicycle Infrastructure Data & Network Assessment
  BikeDNA: Bicycle Infrastructure Data & Network Assessment - GitHub - anerv/BikeDNA: BikeDNA: Bicycle Infrastructure Data & Network Assessment

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