Modeling Optimization for School Network in Conditions of Rural Depopulation (the Case of the Yelabuga District in the Republic of Tatarstan)

R. S. Nikolaev () and D. O. Egorov ()
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R. S. Nikolaev: Perm State National Research University
D. O. Egorov: Kazan Federal University

Regional Research of Russia, 2022, vol. 12, issue 3, 395-413

Abstract: Abstract— The settlement pattern is undergoing dramatic transformation involving rural depopulation, agglomeration, and urbanization processes and migration to large cities, therefore spatial organization of some spheres of life activity becomes a major issue. In particular, shrinkage in the number of settlements and their population undermines the effectiveness of the education system in terms of both costs and organization of the educational process. This greatly increases the relevance of logistics issues in the education system regarding the optimization of school bus routing and planning the spatial location of public amenities. This study analyzes the existing spatial organization of the education system in rural areas for the case of one municipality, the Yelabuga municipal district of the Republic of Tatarstan. Based on the results, alternative models for organizing the general education system were developed and their cross-comparison was made with regard to their performance indicators. The optimal models were found to be based on cluster formations with minimized passenger turnover that involve reasonable costs and relatively low transport load on children. Another mechanism for optimizing traffic flows is associated with the development of the existing transport infrastructure, which allows reaching a new level of spatial organization for the system. The results of the study can be applied in regional (municipal) management, forecasting, and design, in territorial and urban planning.

Keywords: rural areas; school; reforming; reorganization; transport system; optimization of passenger flows; modeling; traffic load (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1134/S2079970522700046

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