Improving the accessibility to public schools in urban areas of developing countries through a location model and an analytical framework

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  • dc.contributor.author De Armas, Jésica
  • dc.contributor.author Ramalhinho-Lourenço, Helena
  • dc.contributor.author Reynal-Querol, Marta
  • dc.date.accessioned 2023-07-31T07:16:45Z
  • dc.date.available 2023-07-31T07:16:45Z
  • dc.date.issued 2022
  • dc.description.abstract The location of primary public schools in urban areas of developing countries is the focus of this study. In such areas, new schools and modification of the current schools are required, and this process should be developed using rational and broad supporting tools for decision makers, such as optimization models. We propose a realistic coverage location model and a framework to analyze the location of schools. Our approach considers the existing schools and their resizing, the best locations of the new schools that may have different capacities, population coverage, walking distances and budget provisions for building and updating schools. As a case study, we assess the current primary school network in Ciudad Benito Juarez to provide managerial insights. Through the proposed framework, we analyze the current locations of schools and decisions to be made by considering future scenarios in different time periods. The proposed model is quite flexible and easy to adapt to new considerations, allowing it to be applied to regions in developing countries under similar conditions.
  • dc.description.sponsorship Ministerio de ciencia, innovación y universidades Award Number: RTI2018-095197-B-I00 Recipient: Helena Ramalhinho, Jesica de Armas The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript Agència de gestió d’ajuts universitaris i de recerca Award Number: 2017-SGR-1739 Recipient: Helena Ramalhinho, Jesica de Armas The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Departament de Recerca i Universitats (Generalitat de Catalunya) Award Number: 2020 Pandemies 00090. Recipient: Marta Reynal-Querol The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Ministerio de ciencia e innovación Award Number: PID2020-120118GB-I00 Recipient: Marta Reynal-Querol The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation de Armas J, Ramalhinho H, Reynal-Querol M. Improving the accessibility to public schools in urban areas of developing countries through a location model and an analytical framework. PLoS One. 2022;17(1):e0262520. DOI: 10.1371/journal.pone.0262520
  • dc.identifier.doi http://dx.doi.org/10.1371/journal.pone.0262520
  • dc.identifier.issn 1932-6203
  • dc.identifier.uri http://hdl.handle.net/10230/57737
  • dc.language.iso eng
  • dc.publisher Public Library of Science (PLoS)
  • dc.relation.ispartof PLoS ONE. 2022;17(1):e0262520.
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/RTI2018-095197-B-I00
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-120118GB-I00
  • dc.rights © 2022 de Armas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.subject.keyword Schools
  • dc.subject.keyword Education
  • dc.subject.keyword Population growth
  • dc.subject.keyword Transportation
  • dc.subject.keyword Decision making
  • dc.subject.keyword Urban areas
  • dc.subject.keyword Mathematical models
  • dc.subject.keyword Natural disasters
  • dc.title Improving the accessibility to public schools in urban areas of developing countries through a location model and an analytical framework
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion