<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Talks | Greta Timaite</title><link>https://gretatimaite.com/workshops/</link><atom:link href="https://gretatimaite.com/workshops/index.xml" rel="self" type="application/rss+xml"/><description>Talks</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>Copyright © Greta Timaite 2022</copyright><image><url>https://gretatimaite.com/media/icon_hua2ec155b4296a9c9791d015323e16eb5_11927_512x512_fill_lanczos_center_3.png</url><title>Talks</title><link>https://gretatimaite.com/workshops/</link></image><item><title>OSM for sustainable transport planning: getting started</title><link>https://gretatimaite.com/workshops/sotm_2022/</link><pubDate>Sat, 20 Aug 2022 00:00:00 +0000</pubDate><guid>https://gretatimaite.com/workshops/sotm_2022/</guid><description>
&lt;div id="abstract" class="section level3">
&lt;h3>&lt;strong>Abstract&lt;/strong>&lt;/h3>
&lt;p>This workshop is aimed at everyone interested in using OpenStreetMap (OSM) to support sustainable transport planning, in professional or advocacy contexts. The focus will be on getting started, identifying, visualizing, and analyzing key tags and identifying gaps in walking, cycling, and wheeling networks. Participants will place OSM data in the context of other data sources to identify its unique advantages. The workshop will be practical and get users started with key ‘tools of the trade’ in the areas: R (used for live demo), Python, A/B Street, and osm2streets. By the end of the workshop, you will know how to add value to OSM data to support sustainable transport planning.&lt;/p>
&lt;/div></description></item><item><title>Propensity to Cycle Tool Advanced Training Workshop</title><link>https://gretatimaite.com/workshops/pct_2021/</link><pubDate>Thu, 09 Dec 2021 00:00:00 +0000</pubDate><guid>https://gretatimaite.com/workshops/pct_2021/</guid><description>
&lt;div id="abstract" class="section level3">
&lt;h3>&lt;strong>Abstract&lt;/strong>&lt;/h3>
&lt;p>The focus here is on analysing cycling potential in the open source statistical programming language R. We use R because the PCT was developed in, and can be extended with, R code. Using open source software with a command-line interface reduces barriers to entry, enabling the development of open access transport models for more citizen-led and participatory transport planning, such as integration with the A/B Street city simulation and editing software (Lovelace 2021). To view a video of our previous advanced training workshop at the Cycle Active City 2021 Conference, see &lt;a href="https://www.youtube.com/watch?v=OiLzjrBMQmU" class="uri">https://www.youtube.com/watch?v=OiLzjrBMQmU&lt;/a>.&lt;/p>
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