Projecting Synthetic Households on Buildings using Fundamental Geospatial Data

In this paper, we propose a method to project households of synthetic population using fundamental geospatial data for real-world social simulation. That is, we assign each generated household on a building in a geographical map. A synthetic population is a population that is generated from the statistics of the real world. The synthetic reconstruction method has been proposed to generate a synthetic population based on the statistics. We propose a threefold method to project generated households on buildings in a geographical map using the fundamental geospatial data. We apply the proposed method to project households generated from the statistics of Takatsuki City, Osaka and project them on buildings in the map. In order to cope with a problem of random assignment of households on buildings, we modify our proposed method to consider types and area of buildings. Projection results show that households are assigned more reasonable to isolated houses and apartments.