Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan
Kajiwara Kento, Jue Ma, Toshikazu Seto, Yoshihide Sekimoto, Yoshiki, Ogawa, Hiroshi Omata

TL;DR
This paper develops an agent-based microsimulation model to forecast household distribution and demographics across Japan, aiding urban planning amid population decline and aging infrastructure.
Contribution
It introduces a novel household transition model using detailed census and building data, improving accuracy of population and household forecasts at municipal levels.
Findings
High accuracy in municipal-level population and household volume estimates
Effective prediction of future village disappearance and vacant houses
Model applicable for urban planning and policy making
Abstract
In response to the declining population and aging infrastructure in Japan, local governments are implementing compact city policies such as the location normalization plan. To optimize the reorganization of urban public infrastructure, it is important to provide detailed and accurate forecasts of the distribution of urban populations and households. However, many local governments do not have the necessary data and forecasting capability. Moreover, current forecasts of gender- and age-based population data only exist at the municipal level, and household data are only available by family type at the prefecture level. Meanwhile, the accuracy is limited with an assumption of same change rate of population in all municipalities and within each city. Therefore, the aim of this study was to develop an agent-based microsimulation household transition model, with the household as the unit and…
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Taxonomy
TopicsMigration, Aging, and Tourism Studies · Urbanization and City Planning · demographic modeling and climate adaptation
