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	<title>Pedestrian Movement Archives - Digital Urban</title>
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	<title>Pedestrian Movement Archives - Digital Urban</title>
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		<title>GIS Timelapse for Pedestrian Movement Analysis</title>
		<link>https://www.digitalurban.org/blog/2008/11/26/gis-timelapse-for-pedestrian-movement/</link>
					<comments>https://www.digitalurban.org/blog/2008/11/26/gis-timelapse-for-pedestrian-movement/#comments</comments>
		
		<dc:creator><![CDATA[Andy]]></dc:creator>
		<pubDate>Wed, 26 Nov 2008 12:07:00 +0000</pubDate>
				<category><![CDATA[GIS]]></category>
		<category><![CDATA[Pedestrian Movement]]></category>
		<category><![CDATA[Pedestrian Tracking]]></category>
		<guid isPermaLink="false">http://digitalurban.net/?p=1528</guid>

					<description><![CDATA[<p>Tomasz Gutowski has used yesterday&#8217;s timelapse tutorial to collect and analyse data on pedestrian movement. Using the timestamps from the imagery and vector based positioning to create a density grid...</p>
<p>The post <a href="https://www.digitalurban.org/blog/2008/11/26/gis-timelapse-for-pedestrian-movement/">GIS Timelapse for Pedestrian Movement Analysis</a> appeared first on <a href="https://www.digitalurban.org">Digital Urban</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p><a href="http://uk.youtube.com/user/togu84">Tomasz Gutowski</a> has used <a href="http://digitalurban.blogspot.com/2008/11/tutorial-torch-webcam-hd-timelapse.html">yesterday&#8217;s timelapse tutorial</a> to collect and analyse data on pedestrian movement. Using the timestamps from the imagery and vector based positioning to create a density grid the results are remarkably impressive.</p>
<p>Toms YouTube movie below provides full details:</p>
<p><center><object width="425" height="344"><param name="movie" value="http://www.youtube.com/v/QnCh2xQnVLU&#038;hl=en&#038;fs=1"></param><param name="allowFullScreen" value="true"></param><param name="allowscriptaccess" value="always"></param><embed src="http://www.youtube.com/v/QnCh2xQnVLU&#038;hl=en&#038;fs=1" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="425" height="344"></embed></object></center></p>
<p>The possibilities are notable and Tom should be congratulated on the methodology&#8230;</p>
<p>The post <a href="https://www.digitalurban.org/blog/2008/11/26/gis-timelapse-for-pedestrian-movement/">GIS Timelapse for Pedestrian Movement Analysis</a> appeared first on <a href="https://www.digitalurban.org">Digital Urban</a>.</p>
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			</item>
		<item>
		<title>GIS Timelapse for Pedestrian Movement Analysis</title>
		<link>https://www.digitalurban.org/blog/2008/11/26/gis-timelapse-for-pedestrian-movement/</link>
					<comments>https://www.digitalurban.org/blog/2008/11/26/gis-timelapse-for-pedestrian-movement/#comments</comments>
		
		<dc:creator><![CDATA[Andy]]></dc:creator>
		<pubDate>Wed, 26 Nov 2008 12:07:00 +0000</pubDate>
				<category><![CDATA[GIS]]></category>
		<category><![CDATA[Pedestrian Movement]]></category>
		<category><![CDATA[Pedestrian Tracking]]></category>
		<guid isPermaLink="false">http://digitalurban.net/?p=1528</guid>

					<description><![CDATA[<p>Tomasz Gutowski has used yesterday&#8217;s timelapse tutorial to collect and analyse data on pedestrian movement. Using the timestamps from the imagery and vector based positioning to create a density grid...</p>
<p>The post <a href="https://www.digitalurban.org/blog/2008/11/26/gis-timelapse-for-pedestrian-movement/">GIS Timelapse for Pedestrian Movement Analysis</a> appeared first on <a href="https://www.digitalurban.org">Digital Urban</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p><a href="http://uk.youtube.com/user/togu84">Tomasz Gutowski</a> has used <a href="http://digitalurban.blogspot.com/2008/11/tutorial-torch-webcam-hd-timelapse.html">yesterday&#8217;s timelapse tutorial</a> to collect and analyse data on pedestrian movement. Using the timestamps from the imagery and vector based positioning to create a density grid the results are remarkably impressive.</p>
<p>Toms YouTube movie below provides full details:</p>
<p><center><object width="425" height="344"><param name="movie" value="http://www.youtube.com/v/QnCh2xQnVLU&#038;hl=en&#038;fs=1"></param><param name="allowFullScreen" value="true"></param><param name="allowscriptaccess" value="always"></param><embed src="http://www.youtube.com/v/QnCh2xQnVLU&#038;hl=en&#038;fs=1" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="425" height="344"></embed></object></center></p>
<p>The possibilities are notable and Tom should be congratulated on the methodology&#8230;</p>
<p>The post <a href="https://www.digitalurban.org/blog/2008/11/26/gis-timelapse-for-pedestrian-movement/">GIS Timelapse for Pedestrian Movement Analysis</a> appeared first on <a href="https://www.digitalurban.org">Digital Urban</a>.</p>
]]></content:encoded>
					
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			<slash:comments>2</slash:comments>
		
		
			</item>
		<item>
		<title>Mapping Movement via Mobile Data</title>
		<link>https://www.digitalurban.org/blog/2008/06/05/mapping-movement-via-mobile-data/</link>
					<comments>https://www.digitalurban.org/blog/2008/06/05/mapping-movement-via-mobile-data/#comments</comments>
		
		<dc:creator><![CDATA[Andy]]></dc:creator>
		<pubDate>Thu, 05 Jun 2008 07:09:00 +0000</pubDate>
				<category><![CDATA[Crowd Simulation]]></category>
		<category><![CDATA[Pedestrian Movement]]></category>
		<guid isPermaLink="false">http://digitalurban.net/?p=1687</guid>

					<description><![CDATA[<p>BBC Science has an interesting article on how the whereabouts of more than 100,000 mobile phone users have been tracked in an attempt to build a comprehensive picture of human...</p>
<p>The post <a href="https://www.digitalurban.org/blog/2008/06/05/mapping-movement-via-mobile-data/">Mapping Movement via Mobile Data</a> appeared first on <a href="https://www.digitalurban.org">Digital Urban</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p><a href="http://newsimg.bbc.co.uk/media/images/44713000/jpg/_44713692_-75.jpg"><img decoding="async" style="margin: 0pt 0pt 10px 10px; float: right; cursor: pointer; width: 200px;" src="http://newsimg.bbc.co.uk/media/images/44713000/jpg/_44713692_-75.jpg" alt="" border="0" /></a>BBC Science has an interesting article on how the whereabouts of more than 100,000 mobile phone users have been tracked in an attempt to build a comprehensive picture of human movements.</p>
<p>It turns out that most people also move less than 10km on a regular basis, according to the study published in the journal Nature.</p>
<p>Mobile phone data is not widely available and while interesting to track general movement where it become of more use is via GPS and the movements of crowds. Currenty GPS handsets are expensive and battery hungry but in the next few years we are going to be increasingly &#8216;location aware&#8217; allowing  better understanding of our movement in cities.</p>
<p>See <a href="http://news.bbc.co.uk/1/hi/sci/tech/7433128.stm">Mobile phones expose human habits</a></p>
<p>Also for those interested see our post on the Nature Network &#8216;<a href="http://network.nature.com/blogs/user/digitalurban/2008/06/03/connected-to-the-world-but-not-the-city-local-clouds">Connected to the World but not the City</a>&#8216;  for a view of location based services and the prospect of mass market gps enabled devices.</p>
<p>The post <a href="https://www.digitalurban.org/blog/2008/06/05/mapping-movement-via-mobile-data/">Mapping Movement via Mobile Data</a> appeared first on <a href="https://www.digitalurban.org">Digital Urban</a>.</p>
]]></content:encoded>
					
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