Benito,
I have done similar modeling exercises at the census tract level and have found that
spatial error and/or spatial lag models can improve the fit over using demographic
information alone.
I would suggest that first you conduct the modeling exercise at the county level. The data
is easier to get, and you can test out various hypothesis, and there will be less
"noise" in the data. Once you've got a good model at the county level, then
you can explore going to smaller levels of geography such as the census tract or the block
group.
________________________________
Mr. Louis Merlin, AICP
Doctoral Student
UNC CH Department of City and Regional Planning
________________________________
From: Nancy Reger [Nreger(a)morpc.org]
Sent: Thursday, May 10, 2012 12:30 PM
To: ctpp-news(a)chrispy.net
Subject: Re: [CTPP] Analyzing historical geospatial Census data to assist in forecasting
TAZ socioeconomic data
Benito-
I’m more than likely preaching to the choir, but my conscience is making me say to be
careful. Sometimes looking back doesn’t help with looking forward. I guess I’m just
suggesting you don’t assume history will trend forward, there might be other variables at
play that were blips in the decades and may not be repeated. Also, the evolution of recent
events regarding aging, international migration, fluctuations in employment, foreclosures
may be excluded.
Nancy
From: ctpp-news-bounces(a)chrispy.net [mailto:ctpp-news-bounces@chrispy.net] On Behalf Of
Benito Perez
Sent: Thursday, May 10, 2012 10:27 AM
To: ctpp-news(a)ryoko.chrispy.net
Subject: [CTPP] Analyzing historical geospatial Census data to assist in forecasting TAZ
socioeconomic data
All,
Good morning. Wanted to solicit ideas, tools, resources that others may be aware of in
analyzing historical census data to develop growth trends that can be used in forecasting
socioeconomic data for our travel demand model’s traffic analysis zones (TAZs). Thoughts?
At this point I have gathered Census tract geospatial data for our region (Hampton Roads)
as far back as 1960, Census Block Group geospatial data from 1990 onwards, and Census
Block geospatial data from 2000 onwards. The hope is to do a geospatial analysis with
these data sets to geospatially identify growth patterns across our region. Thanks for
your time in your thoughts on this. I’ll be cross-posting this on the TMIP listserv as
well.
[Description: Description: Description: HRTPO logo - small]
Benito O. Pérez, AICP
Transportation Engineer
Hampton Roads Transportation Planning Organization
The Regional Building 723 Woodlake Drive Chesapeake Virginia 23320
bperez@hrpdcva.gov<mailto:bperez@hrpdcva.gov>|
http://www.hrtpo.org<http://www.hrtpo.org/>| Phone: 757.420.8300 | Fax:
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