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- W630076906 abstract "With the migration to the American Community Survey (ACS) and current Disclosure Review Board (DRB) data suppression rules, Census Transportation Planning Products (CTPP) would be severely compromised. Therefore, the National Highway Cooperative Research Program (NCHRP) investigated approaches to apply data perturbation techniques that will provide CTPP data users complete tables that are accurate enough to support transportation planning applications, but that also are modified enough that the DRB is satisfied that they prevent effective data snooping. The research team reviewed a significant amount of previous statistical community research on data disclosure research and some previous NCHRP and Federal Highway Administration (FHWA) analyses of CTPP, and settled on a small number of promising data perturbation strategies. These strategies were developed into specific procedures using Census Bureau ACS tables and microdata for four development sites, and the outputs of the different procedures were evaluated and compared in terms of data disclosure limitation and data table utility. An optimal approach that used a combination of the tested procedures was forwarded and then validated on two test sites. During the validation, the procedures were further enhanced and coded. The full procedures performed well on the validation site data, so the research team worked with Census Bureau staff to develop an operational set of computer programs that will enable the perturbation to be applied nationally. The CTPP tables that can be derived from the application of the developed procedures will enable transportation planners to make significantly better use of the ACS-based CTPP tables than they could otherwise do." @default.
- W630076906 created "2016-06-24" @default.
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- W630076906 date "2011-09-23" @default.
- W630076906 modified "2023-09-23" @default.
- W630076906 title "Producing Transportation Data Products from the American Community Survey That Comply With Disclosure Rules" @default.
- W630076906 doi "https://doi.org/10.17226/18160" @default.
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