<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Best place to catch a cab? Try Bloomingdale&#8217;s</title>
	<atom:link href="http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/feed/" rel="self" type="application/rss+xml" />
	<link>http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/</link>
	<description>Strength in Numbers</description>
	<lastBuildDate>Sun, 12 Feb 2012 03:48:24 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.1</generator>
	<item>
		<title>By: lee</title>
		<link>http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/#comment-42095</link>
		<dc:creator>lee</dc:creator>
		<pubDate>Thu, 15 Apr 2010 20:18:47 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=6738#comment-42095</guid>
		<description>You raise some important points on how the data was collected.  It’s obviously cool to look at, but I also think there is a &#039;chicken or the egg&#039; problem lurking underneath all the data.</description>
		<content:encoded><![CDATA[<p>You raise some important points on how the data was collected.  It’s obviously cool to look at, but I also think there is a &#8216;chicken or the egg&#8217; problem lurking underneath all the data.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Numbers. at Pekes en Ertjes</title>
		<link>http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/#comment-42004</link>
		<dc:creator>Numbers. at Pekes en Ertjes</dc:creator>
		<pubDate>Wed, 14 Apr 2010 12:24:17 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=6738#comment-42004</guid>
		<description>[...] De laatste weken probeer ik me een beetje te verdiepen in Data Visualisation. Enorm boeiend, en bij momenten frustrerend omdat er meestal toch wat programmeerskills bij komen kijken. Gelukkig kan ik mijn hart ophalen aan de vele blogs die erover te vinden zijn. Ik moest door deze post van Clo over waar te eten in New York terugdenken aan deze post van Flowing Data. [...]</description>
		<content:encoded><![CDATA[<p>[...] De laatste weken probeer ik me een beetje te verdiepen in Data Visualisation. Enorm boeiend, en bij momenten frustrerend omdat er meestal toch wat programmeerskills bij komen kijken. Gelukkig kan ik mijn hart ophalen aan de vele blogs die erover te vinden zijn. Ik moest door deze post van Clo over waar te eten in New York terugdenken aan deze post van Flowing Data. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Kimberly Cole</title>
		<link>http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/#comment-41832</link>
		<dc:creator>Kimberly Cole</dc:creator>
		<pubDate>Wed, 07 Apr 2010 22:05:37 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=6738#comment-41832</guid>
		<description>I agree with Tony that the data is somewhat misleading because of the supply and demand factor. For example, outside of Penn Station the chart says that there are 55 rides per hour at 3 pm on a Sunday. Of course, there are always at least 3 times that many people looking for a ride at that time and location. It is useful data, though!</description>
		<content:encoded><![CDATA[<p>I agree with Tony that the data is somewhat misleading because of the supply and demand factor. For example, outside of Penn Station the chart says that there are 55 rides per hour at 3 pm on a Sunday. Of course, there are always at least 3 times that many people looking for a ride at that time and location. It is useful data, though!</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Grande giornalismo visuale &#124; LSDI</title>
		<link>http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/#comment-41800</link>
		<dc:creator>Grande giornalismo visuale &#124; LSDI</dc:creator>
		<pubDate>Wed, 07 Apr 2010 10:02:28 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=6738#comment-41800</guid>
		<description>[...] a Manhattan. Curiosa e divertente la grafica, prooposta da FlowingData, relativa ai taxi di New York: uno studio dei flussi dei taxi nella zona di Manhattan ha dato vita [...]</description>
		<content:encoded><![CDATA[<p>[...] a Manhattan. Curiosa e divertente la grafica, prooposta da FlowingData, relativa ai taxi di New York: uno studio dei flussi dei taxi nella zona di Manhattan ha dato vita [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Infographic of the Day: Tracking Taxis Across Manhattan&#160;&#124;&#160;Stocks!</title>
		<link>http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/#comment-41797</link>
		<dc:creator>Infographic of the Day: Tracking Taxis Across Manhattan&#160;&#124;&#160;Stocks!</dc:creator>
		<pubDate>Wed, 07 Apr 2010 09:21:42 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=6738#comment-41797</guid>
		<description>[...] as Flowing Data points out, Sense Networks took that data and added another brilliant application: They created CabSense, a [...]</description>
		<content:encoded><![CDATA[<p>[...] as Flowing Data points out, Sense Networks took that data and added another brilliant application: They created CabSense, a [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Nathan Yau</title>
		<link>http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/#comment-41785</link>
		<dc:creator>Nathan Yau</dc:creator>
		<pubDate>Tue, 06 Apr 2010 19:08:59 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=6738#comment-41785</guid>
		<description>it&#039;s definitely not a cure-all. i mean there are obviously going to be times when you can&#039;t plan to be in an area where there are a lot of cabs, but i imagine this being really useful when a move few blocks north could mean a shorter wait.

now the whole correlation/causation thing is debatable. you can at least be sure you&#039;re going to be in a place where there&#039;s more people. i think cabs are usually going to be in areas where there are more people - not the other way around i.e. more people in an area b/c of more cabs.</description>
		<content:encoded><![CDATA[<p>it&#8217;s definitely not a cure-all. i mean there are obviously going to be times when you can&#8217;t plan to be in an area where there are a lot of cabs, but i imagine this being really useful when a move few blocks north could mean a shorter wait.</p>
<p>now the whole correlation/causation thing is debatable. you can at least be sure you&#8217;re going to be in a place where there&#8217;s more people. i think cabs are usually going to be in areas where there are more people &#8211; not the other way around i.e. more people in an area b/c of more cabs.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Tony Lee</title>
		<link>http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/#comment-41764</link>
		<dc:creator>Tony Lee</dc:creator>
		<pubDate>Tue, 06 Apr 2010 00:52:58 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=6738#comment-41764</guid>
		<description>Gary --

I think that the way to look at this heat chart is to basically look at it as a forecasting model.  They&#039;ve plotted the historical data and, if history repeats itself, the application tells you where the most cabs flow.  

As you have pointed out, this is historical, observed data.  There may well be a large &quot;censoring&quot; effect (cabs going where there most likely to get longer trips, more money, be safer, etc.).  Also, this chart doesn&#039;t balance supply and demand.  You can have a lot of cab trips and still have a long queue for taxis.

It is certainly interesting to talk about, though!</description>
		<content:encoded><![CDATA[<p>Gary &#8211;</p>
<p>I think that the way to look at this heat chart is to basically look at it as a forecasting model.  They&#8217;ve plotted the historical data and, if history repeats itself, the application tells you where the most cabs flow.  </p>
<p>As you have pointed out, this is historical, observed data.  There may well be a large &#8220;censoring&#8221; effect (cabs going where there most likely to get longer trips, more money, be safer, etc.).  Also, this chart doesn&#8217;t balance supply and demand.  You can have a lot of cab trips and still have a long queue for taxis.</p>
<p>It is certainly interesting to talk about, though!</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Infographic of the Day: Tracking Taxis Across Manhattan &#124; Web Design Cool</title>
		<link>http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/#comment-41757</link>
		<dc:creator>Infographic of the Day: Tracking Taxis Across Manhattan &#124; Web Design Cool</dc:creator>
		<pubDate>Mon, 05 Apr 2010 19:38:51 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=6738#comment-41757</guid>
		<description>[...] as Flowing Data points out, Sense Networks took that data and added another brilliant application: They created CabSense, a [...]</description>
		<content:encoded><![CDATA[<p>[...] as Flowing Data points out, Sense Networks took that data and added another brilliant application: They created CabSense, a [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Tracking City Behavior With Taxi Pickup Data - PSFK</title>
		<link>http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/#comment-41755</link>
		<dc:creator>Tracking City Behavior With Taxi Pickup Data - PSFK</dc:creator>
		<pubDate>Mon, 05 Apr 2010 16:12:19 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=6738#comment-41755</guid>
		<description>[...] [via Flowing Data] [...]</description>
		<content:encoded><![CDATA[<p>[...] [via Flowing Data] [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: jardenberg kommenterar &#8211; 5 Apr, 2010 &#124; jardenberg unedited</title>
		<link>http://flowingdata.com/2010/04/05/best-place-to-catch-a-cab-try-bloomingdales/#comment-41747</link>
		<dc:creator>jardenberg kommenterar &#8211; 5 Apr, 2010 &#124; jardenberg unedited</dc:creator>
		<pubDate>Mon, 05 Apr 2010 08:32:51 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=6738#comment-41747</guid>
		<description>[...] Best place to catch a cab? Try Bloomingdale’s [...]</description>
		<content:encoded><![CDATA[<p>[...] Best place to catch a cab? Try Bloomingdale’s [...]</p>
]]></content:encoded>
	</item>
</channel>
</rss>

