Integration of Two Types of School Districts

dc.contributor.authorShimizu, Hitoshi
dc.contributor.authorOkabe, Yasunori
dc.contributor.authorSuwa, Hirohiko
dc.contributor.authorYasumoto, Keiichi
dc.date.accessioned2024-12-26T21:09:05Z
dc.date.available2024-12-26T21:09:05Z
dc.date.issued2025-01-07
dc.description.abstractIn Japan, compulsory education consists of six years in elementary school and three years in junior high school. But recently, the government has pushed to introduce integrated schools for nine years that combine the functions of elementary and junior high schools. Becuase the current elementary and junior high school districts are so intricate that it is not easy to determine which schools should be converted to integrated schools. Moreover, to make it easier for residents to agree, school districts similar to both elementary and junior high school districts should be created for integrated schools. Therefore, we first propose to use Adjusted Rand Index (ARI) as a measure of similarity of two partitions of districts. Then, we formulate the problem of deciding which schools should be converted to integrated elementary and junior high schools as a linear programming problem and propose a procedure for creating a school district reorganization plan. In a simulation experiment using the Nara City dataset, we confirm that the proposed method creates school districts for integrated schools that are similar to those of existing elementary and junior high schools.
dc.format.extent10
dc.identifier.doihttps://doi.org/10.24251/HICSS.2025.641
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other6b44edb6-17ef-4fe7-b38f-1e6471d95e66
dc.identifier.urihttps://hdl.handle.net/10125/109489
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLocation Intelligence Research in System Sciences
dc.subjectadjusted rand index, linear programming, school district optimization, spatial similarity, spatial tessellations
dc.titleIntegration of Two Types of School Districts
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage5335

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