Hi
Todd, there are a couple different ways to conceptualize a population
synthesizer using various Census datasets. For details, I would refer you
to a couple of papers I co-authored:
Rousseau,
Guy and John Bowman. Validation of the Atlanta (ARC) Population Synthesizer
(PopSyn). Paper prepared for the TRB Conference on Innovations in Travel
Modeling, Austin, Texas, May 21- 23, 2006, http://www.trb.org/conferences/tdm/papers/BS1B%20-%20Bowman%20and%20Rousseau%20ARC%20PopSyn.pdf
Rousseau,
Guy and Greg Erhardt. Use of Census PUMS Data in Activity Based Models. Paper
prepared for the USDOT, CTPP Status Report Newsletter, May 2008 http://www.fhwa.dot.gov/ctpp/sr0508.htm
Our
ARC population synthesis procedure takes into account zonal and regional
controls and includes a procedure to allocate households to sub-zones.
The ARC population synthesizer was developed to be a flexible tool for creating
synthetic populations for Activity-Based modeling. The population
synthesizer takes as an input Census data and zonal-level and regional marginal
distributions of households by various characteristics that are used as
controls which the synthetic population is forced to match. The
population synthesizer first develops a “base year” population
distribution using year 2000 Census data. A set of controlled for
attributes are defined, and Census Summary File 1, Summary File 3, and the
Census Transportation Planning Package information is used to develop single
and multi-dimensional distributions of these attributes. These attributes
include:
·
Householder age
·
Household size
·
Household income
·
Presence of children in household
·
Number of workers in household
·
Number of units in household structure
·
Population race
·
Population group quarters type
Once
this distribution is established, the population synthesis tool then samples
PUMS records to create a fully enumerated representation of the
population. In order to use the ARC model to forecast travel, it is
necessary to develop future year synthetic populations. The population
synthesizer updates the base year distributions of household and person
attributes to provide future year distributions of these attributes, based on
future year data found in ARC’s regional model TAZ inputs. The
population synthesizer is applied at the TAZ level for the entire model area.
Below is a schematic of the overall process, all programmed in JAVA:
I
hope this helps. Let me know if you have any questions.
Thanks,
Guy
Guy
Rousseau
Modeling
Manager
Atlanta
Regional Commission
From: ctpp-news-bounces@chrispy.net
[mailto:ctpp-news-bounces@chrispy.net] On Behalf Of Graham, Todd
Sent: Friday, March 27, 2009 3:29 PM
To: 'ctpp-news@chrispy.net'
Subject: [CTPP] Small-area socioeconomic data sources, synthesis
techniques
A few questions for anyone who'd care to offer opinions...
Who on the list has experience "synthesizing" small-area
(= TAZ Zones or Tracts or Block Groups) socioeconomic crosstabs that go beyond
the tables published by Census Bureau? By "beyond," I'm
specifically thinking of using multiple households characteristics as
segmenting dimensions.
And how do you go about it? Iterative proportional fitting
– or propensity? or some other joint distribution technique??
About my own objectives:
For analyses and forecasts-prep at Metropolitan Council, we would
like to segment our region's Census 2000 households on multiple dimensions:
age of householder (4 categories) X household size (4
categories) X household income (5 categories) X geographic units (1200 Zones).
I’ve been thinking that we would start with CTPP table 64
(crosstab of household size X household income X TAZ Zones) and then synthesize
the additional segmentation by age group (drawing on PUMS data). But
I’m skeptical that household size X household income is enough
information to predict age of householder. Any thoughts??
Alternately… Census SF3 table P55 offers crosstab of age
group X household income X Block Groups. Perhaps start there and
synthesize the additional segmentation by household size. This might work
better! – but then there’s the additional hassle of correspondence
between Block Groups vs TAZ Zones.
Any advice is appreciated. Thanks.
-- Todd Graham
Metropolitan Council Research
651/602-1322