Challenges In Modeling Residential Building Occupancy
Topics: Population Geography
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Keywords: Census, Residential, Population Density, Dwellings, Household Size
Session Type: Virtual Paper Abstract
Day: Sunday
Session Start / End Time: 2/27/2022 02:00 PM (Eastern Time (US & Canada)) - 2/27/2022 03:20 PM (Eastern Time (US & Canada))
Room: Virtual 68
Authors:
Carson Woody, Oak Ridge National Laboratory
Marie Urban, Oak Ridge National Laboratory
Jesse Piburn, Oak Ridge National Laboratory
Robert Stewart, Oak Ridge National Laboratory
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Abstract
The Population Density Tables (PDT) project at Oak Ridge National Laboratory (ORNL) uses open-source data to model occupancy at the building level for 50 facility types at the national and subnational level. Residential modeling accounts for different family living and economic situations by using a model which reverse engineers household and dwelling size data in various forms from censuses and surveys. Unlike the estimates from PDT, which have an associated level of uncertainty, the estimates from the Census Tool do not include uncertainty as the censuses and household surveys are viewed as the “truth” given their exhaustive knowledge of housing within a country. The PDT Residential “census models” offer four possible options for developing residential occupancy. Through a combination of averages, bivariate, or univariate tables, we can derive a residential building occupancy using the Revengc Method. While straightforward with most censuses, this method faces limitations in the absence of reliable data. The application of this tool becomes a challenge in places where censuses and surveys are not as trusted or are nonexistent. Limitations in data availability were recently tackled in Venezuela and Mali. While both countries report average household sizes in their censuses, they do not report dwelling sizes, so alternative measures were used to obtain these numbers. Even when both numbers are reported in a census, the reliability of those numbers can be questionable, as is the case with North Korea. This research looks at the challenges of applying this census tool outside of areas with credible census information.
Challenges In Modeling Residential Building Occupancy
Category
Virtual Paper Abstract
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