Reconstructing Prefecture-Level Large-Scale Household Composition Using Parallel Computing

In this paper, we employ parallel computing techniques to reconstruct large-scale household compositions for micro-simulations (MS) or agent-based simulations (ABS). MS and ABS are recently employed for social simulations. For enabling MS or ABS, each household composition such as ages, occupations, or other properties of each member of a household should be prepared before simulations. However real household compositions are not available to researchers due to privacy or security reasons. Therefore reconstruction methods from statistics are developed to generate artificial populations for MS or ABS. In this paper, we propose a method to reconstruct a prefecture-level large-scale household compositions based on statistics using parallel computing techniques. In order to generate artificial populations as soon as possible, parallel computing techniques are essential in reconstruction methods. In this paper, we show a challenge in an application of parallel computing to a previously proposed reconstruction method, and show the effectiveness of the proposed method.