Synthetic Method for Population of A Prefecture Using Statistics of Local Governments

Tadahiko Murata; Takuya Harada

doi:10.1109/SMC.2018.00207

Synthetic Method for Population of A Prefecture Using Statistics of Local Governments

Tadahiko Murata, Takuya Harada

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, we employ statistics of local governments in synthesizing individual households of a prefecture in order to reduce the error between synthesized statistics and real statistics. In our previous method, we employed estimated statistics of local governments with population less than 200,000 people and separately synthesize populations of local governments in a prefecture. This causes a lot of differences between the synthesized population and the real statistics. In order to reduce the errors with prefectural statistics, we simultaneously employ the statistics of smaller local governments in synthesizing population of a prefecture. Our experimental results show that the proposed method can reduce 42% to 84% errors against the previous method.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1175-1180
Number of pages	6
ISBN (Electronic)	9781538666500
DOIs	https://doi.org/10.1109/SMC.2018.00207
Publication status	Published - 2019 Jan 16
Externally published	Yes
Event	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan Duration: 2018 Oct 7 → 2018 Oct 10

Publication series

Name	Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/Territory	Japan
City	Miyazaki
Period	18/10/7 → 18/10/10

Keywords

annealing
real-scale social simulation simulated
statistics
synthetic reconstruction method

ASJC Scopus subject areas

Information Systems
Information Systems and Management
Health Informatics
Artificial Intelligence
Computer Networks and Communications
Human-Computer Interaction

Access to Document

10.1109/SMC.2018.00207

Cite this

Murata, T., & Harada, T. (2019). Synthetic Method for Population of A Prefecture Using Statistics of Local Governments. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 (pp. 1175-1180). [8616203] (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2018.00207

Synthetic Method for Population of A Prefecture Using Statistics of Local Governments. / Murata, Tadahiko; Harada, Takuya.

Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1175-1180 8616203 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Murata, T & Harada, T 2019, Synthetic Method for Population of A Prefecture Using Statistics of Local Governments. in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018., 8616203, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1175-1180, 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, 18/10/7. https://doi.org/10.1109/SMC.2018.00207

Murata T, Harada T. Synthetic Method for Population of A Prefecture Using Statistics of Local Governments. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1175-1180. 8616203. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018). doi: 10.1109/SMC.2018.00207

Murata, Tadahiko ; Harada, Takuya. / Synthetic Method for Population of A Prefecture Using Statistics of Local Governments. Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1175-1180 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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title = "Synthetic Method for Population of A Prefecture Using Statistics of Local Governments",

abstract = "In this paper, we employ statistics of local governments in synthesizing individual households of a prefecture in order to reduce the error between synthesized statistics and real statistics. In our previous method, we employed estimated statistics of local governments with population less than 200,000 people and separately synthesize populations of local governments in a prefecture. This causes a lot of differences between the synthesized population and the real statistics. In order to reduce the errors with prefectural statistics, we simultaneously employ the statistics of smaller local governments in synthesizing population of a prefecture. Our experimental results show that the proposed method can reduce 42% to 84% errors against the previous method.",

keywords = "annealing, real-scale social simulation simulated, statistics, synthetic reconstruction method",

author = "Tadahiko Murata and Takuya Harada",

note = "Funding Information: Part of this research is funded by Foundation for the Fusion of Science and Technology, and JSPS KAKENHI 17K03669. Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 ; Conference date: 07-10-2018 Through 10-10-2018",

year = "2019",

month = jan,

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doi = "10.1109/SMC.2018.00207",

language = "English",

series = "Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018",

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AU - Harada, Takuya

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N2 - In this paper, we employ statistics of local governments in synthesizing individual households of a prefecture in order to reduce the error between synthesized statistics and real statistics. In our previous method, we employed estimated statistics of local governments with population less than 200,000 people and separately synthesize populations of local governments in a prefecture. This causes a lot of differences between the synthesized population and the real statistics. In order to reduce the errors with prefectural statistics, we simultaneously employ the statistics of smaller local governments in synthesizing population of a prefecture. Our experimental results show that the proposed method can reduce 42% to 84% errors against the previous method.

AB - In this paper, we employ statistics of local governments in synthesizing individual households of a prefecture in order to reduce the error between synthesized statistics and real statistics. In our previous method, we employed estimated statistics of local governments with population less than 200,000 people and separately synthesize populations of local governments in a prefecture. This causes a lot of differences between the synthesized population and the real statistics. In order to reduce the errors with prefectural statistics, we simultaneously employ the statistics of smaller local governments in synthesizing population of a prefecture. Our experimental results show that the proposed method can reduce 42% to 84% errors against the previous method.

KW - annealing

KW - real-scale social simulation simulated

KW - statistics

KW - synthetic reconstruction method

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BT - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

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ER -

Synthetic Method for Population of A Prefecture Using Statistics of Local Governments

Abstract

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Keywords

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