Downscaling Synthetic Populations to Realistic Residential Locations

High-fidelity pattern of life (PoL) models require realistic home/origin points for predictive trip modeling. This paper develops and demonstrates a method using open data to match synthetic populations generated from census surveys to plausible residential locations (building footprints) based on dwelling attributes. This approach presents promise over extant methods based on housing density, particularly for small neighborhood areas with a non-uniform building and land-use mix.