IDEAS home Printed from https://ideas.repec.org/a/spr/rrorus/v12y2022i3d10.1134_s2079970522700046.html
   My bibliography  Save this article

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

Author

Listed:
  • R. S. Nikolaev

    (Perm State National Research University)

  • D. O. Egorov

    (Kazan Federal University)

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.

Suggested Citation

  • R. S. Nikolaev & D. O. Egorov, 2022. "Modeling Optimization for School Network in Conditions of Rural Depopulation (the Case of the Yelabuga District in the Republic of Tatarstan)," Regional Research of Russia, Springer, vol. 12(3), pages 395-413, September.
  • Handle: RePEc:spr:rrorus:v:12:y:2022:i:3:d:10.1134_s2079970522700046
    DOI: 10.1134/S2079970522700046
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S2079970522700046
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1134/S2079970522700046?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. M. Spada & M. Bierlaire & Th. M. Liebling, 2005. "Decision-Aiding Methodology for the School Bus Routing and Scheduling Problem," Transportation Science, INFORMS, vol. 39(4), pages 477-490, November.
    2. Janet Stanley & John Stanley, 2017. "The Importance of Transport for Social Inclusion," Social Inclusion, Cogitatio Press, vol. 5(4), pages 108-115.
    3. Yuan Gao & Qingsong He & Yaolin Liu & Lingyu Zhang & Haofeng Wang & Enxiang Cai, 2016. "Imbalance in Spatial Accessibility to Primary and Secondary Schools in China: Guidance for Education Sustainability," Sustainability, MDPI, vol. 8(12), pages 1-16, November.
    4. Pedamallu Chandra & Ozdamar Linet & Ganesh L & Weber Gerhard-Wilhelm & Kropat Erik, 2010. "A System Dynamics Model for Improving Primary Education Enrollment in a Developing Country," Organizacija, Sciendo, vol. 43(3), pages 90-101, May.
    5. Marique, Anne-Francoise & Dujardin, Sébastien & Teller, Jacques & Reiter, Sigrid, 2013. "School commuting: the relationship between energy consumption and urban form," Journal of Transport Geography, Elsevier, vol. 26(C), pages 1-11.
    6. Park, Junhyuk & Kim, Byung-In, 2010. "The school bus routing problem: A review," European Journal of Operational Research, Elsevier, vol. 202(2), pages 311-319, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Park, Junhyuk & Tae, Hyunchul & Kim, Byung-In, 2012. "A post-improvement procedure for the mixed load school bus routing problem," European Journal of Operational Research, Elsevier, vol. 217(1), pages 204-213.
    2. Ellegood, William A. & Solomon, Stanislaus & North, Jeremy & Campbell, James F., 2020. "School bus routing problem: Contemporary trends and research directions," Omega, Elsevier, vol. 95(C).
    3. Dimitris Bertsimas & Arthur Delarue & William Eger & John Hanlon & Sebastien Martin, 2020. "Bus Routing Optimization Helps Boston Public Schools Design Better Policies," Interfaces, INFORMS, vol. 50(1), pages 37-49, January.
    4. Amanda Chu & Pinar Keskinocak & Monica C. Villarreal, 2020. "Introduction: Empowering Denver Public Schools to Optimize School Bus Operations," Interfaces, INFORMS, vol. 50(5), pages 298-312, September.
    5. Shafahi, Ali & Wang, Zhongxiang & Haghani, Ali, 2018. "SpeedRoute: Fast, efficient solutions for school bus routing problems," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 473-493.
    6. Kelly, J. Andrew & Fu, Miao, 2014. "Sustainable school commuting – understanding choices and identifying opportunities," Journal of Transport Geography, Elsevier, vol. 34(C), pages 221-230.
    7. Wang, Zhongxiang & Haghani, Ali, 2020. "Column generation-based stochastic school bell time and bus scheduling optimization," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1087-1102.
    8. Perugia, Alessandro & Moccia, Luigi & Cordeau, Jean-François & Laporte, Gilbert, 2011. "Designing a home-to-work bus service in a metropolitan area," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1710-1726.
    9. Kuo, Yong-Hong & Leung, Janny M.Y. & Yan, Yimo, 2023. "Public transport for smart cities: Recent innovations and future challenges," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1001-1026.
    10. Kim, Byung-In & Kim, Seongbae & Park, Junhyuk, 2012. "A school bus scheduling problem," European Journal of Operational Research, Elsevier, vol. 218(2), pages 577-585.
    11. Shichao Sun & Zhengyu Duan & Qi Xu, 2018. "School bus routing problem in the stochastic and time-dependent transportation network," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-17, August.
    12. Ezquerro Eguizábal, Sara & Moura Berodia, José Luis & Ibeas Portilla, Ángel & Benavente Ponce, Juan, 2018. "Optimization model for school transportation design based on economic and social efficiency," Transport Policy, Elsevier, vol. 67(C), pages 93-101.
    13. Banerjee, Dipayan & Smilowitz, Karen, 2019. "Incorporating equity into the school bus scheduling problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 228-246.
    14. Liwei Zeng & Sunil Chopra & Karen Smilowitz, 2019. "The Covering Path Problem on a Grid," Transportation Science, INFORMS, vol. 53(6), pages 1656-1672, November.
    15. Chen, Xinwei & Wang, Tong & Thomas, Barrett W. & Ulmer, Marlin W., 2023. "Same-day delivery with fair customer service," European Journal of Operational Research, Elsevier, vol. 308(2), pages 738-751.
    16. An Huang & Yueqing Xu & Yibin Zhang & Longhui Lu & Chao Liu & Piling Sun & Qingguo Liu, 2022. "A Spatial Equilibrium Evaluation of Primary Education Services Based on Living Circle Models: A Case Study within the City of Zhangjiakou, Hebei Province, China," Land, MDPI, vol. 11(11), pages 1-17, November.
    17. Timo Gschwind & Stefan Irnich & Simon Emde & Christian Tilk, 2018. "Branch-Cut-and-Price for the Scheduling Deliveries with Time Windows in a Direct Shipping Network," Working Papers 1805, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    18. Herminia I. Calvete & Carmen Galé & José A. Iranzo & Paolo Toth, 2020. "A Partial Allocation Local Search Matheuristic for Solving the School Bus Routing Problem with Bus Stop Selection," Mathematics, MDPI, vol. 8(8), pages 1-20, July.
    19. Hernan Caceres & Rajan Batta & Qing He, 2017. "School Bus Routing with Stochastic Demand and Duration Constraints," Transportation Science, INFORMS, vol. 51(4), pages 1349-1364, November.
    20. Timo Gschwind & Stefan Irnich & Christian Tilk & Simon Emde, 2020. "Branch-cut-and-price for scheduling deliveries with time windows in a direct shipping network," Journal of Scheduling, Springer, vol. 23(3), pages 363-377, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:rrorus:v:12:y:2022:i:3:d:10.1134_s2079970522700046. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.