著者

Tadahiko MURATA Takuya HARADA Daiki MASUI

出版者

The Society of Instrument and Control Engineers

雑誌

SICE Journal of Control, Measurement, and System Integration (ISSN:18824889)

巻号頁・発行日

vol.10, no.6, pp.513-519, 2017 (Released:2017-12-17)

参考文献数

20

被引用文献数

1 9

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In this paper, we modify a synthetic reconstruction (SR) method without samples. The synthetic reconstruction method is a method to generate attributes of population such as age, sex and kinship within a family according to available statistics. Although the original SR method employs some individual samples that are collected to make a statistics, it is criticized that generated attributes are only within the samples used in the reconstruction process. In this paper, we employ a simulated annealing-based SR method without samples. We compare two types of generation methods of a candidate solution in a search of simulated annealing: changing age of an agent (age-change) or swapping ages of two agents (age-swap). Results of synthetic reconstruction show that age-change is better when we limit the number of search. On the other hand, age-swap is better when we have enough number of search for reconstructing a population.

著者

Takuya HARADA Tadahiko MURATA

出版者

The Society of Instrument and Control Engineers

雑誌

SICE Journal of Control, Measurement, and System Integration (ISSN:18824889)

巻号頁・発行日

vol.10, no.6, pp.505-512, 2017 (Released:2017-12-17)

参考文献数

17

被引用文献数

10

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In this paper, we propose a method to project households of synthetic population using fundamental geospatial data for real-world social simulations. That is, we assign each generated household on a building in a geographical map. When we try to conduct a real-scale social simulation, we need attributes of agents and their locations on a geographical map. We have already proposed a synthetic population method that generates attributes of agents or citizens from the statistics of the real world. To determine the locations of agents, we propose, in this paper, 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, Japan and project them on buildings in the map. In order to cope with a problem of random assignment of households on buildings, we propose a modified method to consider types and area of buildings. Projection results show that households are assigned more reasonably to isolated houses and apartments.