http://derekneighbors.com/2009/12/11-months-of-phoenix-metro-rail-ridership-data/ Musings of a Mad Man (@dneighbors) Sat, 28 Jan 2012 08:56:46 +0000 hourly 1 http://wordpress.org/?v=3.3.1 http://derekneighbors.com/2009/12/11-months-of-phoenix-metro-rail-ridership-data/comment-page-1/#comment-887 Phillilp Blackerby Wed, 23 Dec 2009 07:35:42 +0000 http://derekneighbors.com/?p=6518#comment-887 Consider winter visitors and vacation times. Some people are Phoenix-area residents who leave between Memorial Day and Labor Day. Others are snowbirds who come here between Labor Day and Memorial Day. Together they make up maybe a quarter to a third of Phoenix-area residents who are absent during summer! Consider winter visitors and vacation times. Some people are Phoenix-area residents who leave between Memorial Day and Labor Day. Others are snowbirds who come here between Labor Day and Memorial Day. Together they make up maybe a quarter to a third of Phoenix-area residents who are absent during summer!

]]> http://derekneighbors.com/2009/12/11-months-of-phoenix-metro-rail-ridership-data/comment-page-1/#comment-886 Rail Life Wed, 23 Dec 2009 04:49:09 +0000 http://derekneighbors.com/?p=6518#comment-886 Funny, when I was writing the post, I thought it would be cool to do a graph like your top one. The others bring up more great thoughts. Thanks so much for doing this! I agree with Scott in that it will be cool to watch longer term trends. Very cool post... Again, thanks. Funny, when I was writing the post, I thought it would be cool to do a graph like your top one. The others bring up more great thoughts.
Thanks so much for doing this!
I agree with Scott in that it will be cool to watch longer term trends.
Very cool post… Again, thanks.

]]> http://derekneighbors.com/2009/12/11-months-of-phoenix-metro-rail-ridership-data/comment-page-1/#comment-885 Scott Jones Wed, 23 Dec 2009 04:33:58 +0000 http://derekneighbors.com/?p=6518#comment-885 This will be more useful when there's several years worth of data - it's hard to pull too many conclusions off a single year's worth of numbers. This will be more useful when there’s several years worth of data – it’s hard to pull too many conclusions off a single year’s worth of numbers.

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