Use of the U.S. Census Bureau’s Public Use Microdata Sample (PUMS) by State Departments of Transportation and Metropolitan Planning Organizations (2012) / Chapter Skim
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71 APPENDIX B Population Synthesis Design Issues The key design issues for the population synthesizers include: Step 1 -- Small area joint distributions • Selection of control variables • Definition of control variable categories • Mechanisms for addressing the "zero cell" problem • Mechanisms for maintaining person level joint distributions, as well as household level joint distributions Step 2 -- Assignment of household and person data records to small areas • Mechanisms for preparing the joint distributions for PUMS record allocation • Sample draw procedures Selection of Control Variables and Definition of Control Variable Categories Bowman provides a summary of the control variables used in the implementations of many of the population synthesizers (Bowman 2009)
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72 trols for gender, age, and race. As discussed below, these synthesizers were designed to analyze a combination of household and person variables.
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73 algorithm performs IPF like factoring, but introduces household and person record weights that get adjusted and recalculated during the factoring until both household and person attributes are matched (Ye et al.
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NEED SPINE WIDTH TRANSPORTATION RESEARCH BOARD 2012 EXECUTIVE COMMITTEE* OFFICERS Chair: Sandra Rosenbloom, Professor of Planning, University of Arizona, Tucson Vice Chair: Deborah H
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