A decision-making framework for physical school infrastructure improvement
Ph.D. thesis document by Rafael Fernández in partial fulfillment of the requirements for the degree of Ph.D. in Engineering.
- Autores:
-
Fernández Miranda, Rafael Ignacio
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2023
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/64966
- Acceso en línea:
- http://hdl.handle.net/1992/64966
- Palabra clave:
- Decision-making
Public school infrastructure
Optimization
Clustering
Disaster risk reduction
Functionality
Budget allocation
Ingeniería
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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A decision-making framework for physical school infrastructure improvement |
| title |
A decision-making framework for physical school infrastructure improvement |
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A decision-making framework for physical school infrastructure improvement Decision-making Public school infrastructure Optimization Clustering Disaster risk reduction Functionality Budget allocation Ingeniería |
| title_short |
A decision-making framework for physical school infrastructure improvement |
| title_full |
A decision-making framework for physical school infrastructure improvement |
| title_fullStr |
A decision-making framework for physical school infrastructure improvement |
| title_full_unstemmed |
A decision-making framework for physical school infrastructure improvement |
| title_sort |
A decision-making framework for physical school infrastructure improvement |
| dc.creator.fl_str_mv |
Fernández Miranda, Rafael Ignacio |
| dc.contributor.advisor.none.fl_str_mv |
Correal Daza, Juan Francisco Javier Medaglia González, Andrés L. |
| dc.contributor.author.none.fl_str_mv |
Fernández Miranda, Rafael Ignacio |
| dc.contributor.jury.none.fl_str_mv |
D'Ayala, Dina Tsuneki, Hori Reyes Ortiz, Juan Carlos |
| dc.contributor.researchgroup.es_CO.fl_str_mv |
Centro de Investigación en Materiales y Obras Civiles - CIMOC Centro para la Optimización y Probabilidad Aplicada - COPA |
| dc.subject.keyword.none.fl_str_mv |
Decision-making Public school infrastructure Optimization Clustering Disaster risk reduction Functionality Budget allocation |
| topic |
Decision-making Public school infrastructure Optimization Clustering Disaster risk reduction Functionality Budget allocation Ingeniería |
| dc.subject.themes.es_CO.fl_str_mv |
Ingeniería |
| description |
Ph.D. thesis document by Rafael Fernández in partial fulfillment of the requirements for the degree of Ph.D. in Engineering. |
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2023 |
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2023-02-14T18:35:06Z |
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2023-02-14T18:35:06Z |
| dc.date.issued.none.fl_str_mv |
2023-01-13 |
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Trabajo de grado - Doctorado |
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eng |
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eng |
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Adhikari, R., D'Ayala, D., Ferreira, C., & Ramirez, F. (2018). Structural classification system for load bearing masonry school buildings. 16th European Conference on Earthquake Engineering (June), 1-12. Aleskerov, F., Say, A., Toker, A., Akin, H., & Altay, G. (2005). A cluster-based decision support system for estimating earthquake damage and casualties. Disasters, 29(3), 255-276. Anelli, A., Santa-Cruz, S., Vona, M., Tarque, N., & Laterza, M. (2019). A proactive and resilient seismic risk mitigation strategy for existing school buildings. Structure and Infrastructure Engineering, 15(2), 137-151. Retrieved from https://doi.org/10.1080/15732479.2018.1527373 Anwar, G., Dong, Y., & Li, Y. (2020). Performance-based decision-making of buildings under seismic hazard considering long-term loss, sustainability, and resilience. Structure and Infrastructure Engineering, 17(4), 454-470. Retrieved from https://doi.org/10.1080/15732479.2020.1845751 Asadi, A., Salman, A., & Li, Y. (2019). Multi-criteria decision-making for seismic resilience and sustainability of diagrid buildings. Engineering Structures, 229-246. Badri, M., Al Qubaisi, A., Mohaidat, J., Al Dhaheri, H., Yang, G., Al Rashedi, A., & Greer, K. (2016). An analytic hierarchy process for school quality and inspection: Model development and application. International Journal of Educational Management, 30(3), 437-459. Barrett, P., Treves, A., Shmis, T., Ambasz, D., & Ustinova, M. (2019). The Impact of School Infrastructure on Learning: A Synthesis of the Evidence. Beynon, J. (1997). Physical Facilities for education: What planners need to know. Bradley, R. (2018). Decision Theory: A Formal Philosophical Introduction. In S. Hansson, & V. Hendrick (Eds.), Introduction to Formal Philosophy. Springer, Cham. doi: https://doi.org/10.1007/978-3-319-77434-3_34 Casella, G., Fienberg, S., & Olkin, I. (2013). An Introduction to Statistical Learning. Springer Texts in Statistics, 618. Retrieved from http://books.google.com/books?id=9tv0taI8l6YC Castillo, M. (2011). Toma de decisiones en las empresas (Ediciones ed.). Bogotá. Castro-Lacouture, D., Medaglia, A. L., & Skibniewski, M. J. (2007). Supply chain optimization tool for purchasing decisions in B2B construction marketplaces. Automation in Construction, 16(5), 569-575. Chang, S., Yip, J., Conger, T., Oulahen, G., & Marteleira, M. (2018). Community vulnerability to coastal hazards: Developing a typology for disaster risk reduction. Applied Geography, 91(August 2017), 81-88. Retrieved from https://doi.org/10.1016/j.apgeog.2017.12.017 Corderi-Novoa, D., Tsuneki, H., Yamin, L. (2020). The Economics of Investment and Prioritization of Flood Risk Reduction Measures in a Watershed. Risk Analysis. Retrieved from https://doi.org/10.1111/risa.13642 D'Ayala, D., Galasso, C., Nassirpour, A., Adhikari, R., Yamin, L., Fernandez, R., . . . Oreta, A. (2020). Resilient communities through safer schools. International Journal of Disaster Risk Reduction, 45, 101446. Retrieved from https://doi.org/10.1016/j.ijdrr.2019.101446 Educate a Child. (2020). Barriers to education. Retrieved from https://educateachild.org/explore/barriers-to-education EERI. (2019). Concrete Buildings Damaged in Earthquakes. Retrieved from http://db.concretecoalition.org/list?submit=Search&q=&occupancy=Education Formisano, A., Castaldo, C., & Chiumiento, G. (2017). Optimal seismic upgrading of a reinforced concrete school building with metal-based devices using an efficient multi-criteria decision-making method. Structure and Infrastructure Engineering, 13(11), 1373-1389. Retrieved from http://dx.doi.org/10.1080/15732479.2016.1268174 GEER. (2016). GEER-ATC earthquake reconnaissance April 16th 2016, Muisne, Ecuador. GEER. (2017). Geotechnical Engineering Reconnaissance Of The 19 September 2017 Mw 7.1 Puebla-Mexico City Earthquake Version 1.0. Govaert, G., & Nadif, M. (2008). Block clustering with Bernoulli mixture models: Comparison of different approaches. Computational Statistics and Data Analysis, 52(6), 3233-3245. Guerreiro, A., Fonseca, C., & Paquete, L. (2020). The Hypervolume Indicator: Problems and Algorithms. Retrieved from http://arxiv.org/abs/2005.00515 Gunasekera, R., Ishizawa, O., Aubrecht, C., Blankespoor, B., Murray, S., Pomonis, A., & Daniell, J. (2015). Developing an adaptive global exposure model to support the generation of country disaster risk profiles. Earth-Science Reviews, 150, 594-608. Retrieved from http://dx.doi.org/10.1016/j.earscirev.2015.08.012 Hansson, S. O. (1990). An Overview of Decision Theory. Stockholm: Uppsala University. Hansson, S. O. (2005). Decision Theory: A Brief Introduction. Stockholm: Royal Institute of Technology. Hassan, A., & Yahi, M. (2018). Building an AHP decision model to assess the importance of design criteria for school buildings projects. Global Journal of Engineering Science and Researchers, 3. Huss, O., & Keudel, O. (2020). Open government in education: Clarifying concepts and mapping initiatives (UNESCO ed.). IADB. (2014). Learning in Twenty-First Century Schools. Retrieved from http://idbdocs.iadb.org/wsdocs/getdocument.aspx?docnum=36894958 Icontec; Ministerio de Educación Nacional. (2017). Planeamiento y diseño de ambientes para la educación inicial en el marco de la atención integral. Retrieved from https://www.mineducacion.gov.co/1759/articles-355996_recurso_1.pdf Kabir, G., Sadiq, R., & Tesfamariam, S. (2014). A review of multi-criteria decision-making methods for infrastructure management. Structure and Infrastructure Engineering, 10(9), 1176-1210. Retrieved from http://dx.doi.org/10.1080/15732479.2013.795978 Medaglia, A. L., Hueth, D., Mendieta, J. C., & Sefair, J. A. (2008). Multiobjective Model for the Selection and Timing of Public Enterprise Projects. Socio-Economic Planning Sciences, 42(1), 31-45. Mohammadgholibeyki, N., Nazari, F., Venkatraj, V., Koliou, M., Yan, W., Dixit, M., & Sideris, P. (2021). A decision-making framework for life-cycle energy and seismic loss assessment of buildings. Structure and Infrastructure Engineering, 0(0), 1-15. Retrieved from https://doi.org/10.1080/15732479.2021.1983613 Muñoz, V., Carby, B., Abella, E., Cardona, O., López-Marrero, T., Marchezini, V., . . . Wisner, B. (2020). Success, innovation and challenge: School safety and disaster education in South America and the Caribbean. International Journal of Disaster Risk Reduction, 44(November 2019). Naja, M., & Baytiyeh, H. (2014). Towards safer public school buildings in Lebanon: An advocacy for seismic retrofitting initiative. International Journal of Disaster Risk Reduction, 8, 158-165. Retrieved from http://dx.doi.org/10.1016/j.ijdrr.2014.03.005 National Academies of Sciences, Engineerinng and Medicine. (2007). Multi-objective optimization for bridge management. National Academies Press. OECD. (2019). PISA 2018 Results (Volume I): What Students Know and Can Do (Vol. III). Retrieved from https://www.oecd.org/pisa/publications/PISA2018_CN_IDN.pdf OECD. (2020). The Impact of COVID-19 on Education. Retrieved 2022, from https://www.oecd.org/education/the-impact-of-covid-19-on-education-insights-education-at-a-glance-2020.pdf Osaro, N., & Wokekoro, E. (2018). Stakeholders Roles in Improving the Current State of Public Secondary Schools Infrastructure in Rivers State, Nigeria (Vol. 5). Prasad, J., Singh, Y., Kaynia, A., & Lindholm, C. (2009). Socioeconomic clustering in seismic risk assessment of urban housing stock. Earthquake Spectra, 25(3), 619-641. Psacharopoulos, G., Collis, V., Patrinos, H. A., & Vegas, E. (2020). Lost wages: The COVID-19 Cost of School Closures. Education Global Practice - The World Bank. Rardin, R. (1998). Optimization in Operations Research. Pearson. Röthlisberger, V., Zischg, A., & Keiler, M. (2017). Identifying spatial clusters of flood exposure to support decision making in risk management. Science of the Total Environment, 598, 593-603. Retrieved from http://dx.doi.org/10.1016/j.scitotenv.2017.03.216 Saaty, T. (1990). How to make a decision: The analytic hierarchy process (Vol. 48). Saeed, M., Javed, K., & Atique Babri, H. (2013). Machine learning using Bernoulli mixture models: Clustering, rule extraction and dimensionality reduction. Neurocomputing, 119, 366-374. Retrieved from http://dx.doi.org/10.1016/j.neucom.2013.03.021 Salem, O., Miller, R., Deshpande, A., & Arurkar, T. (2013). Multi-criteria decision-making system for selecting an effective plan for bridge rehabilitation. Structure and Infrastructure Engineering, 9(8), 806-816. Sefair, J., Castro-Lacouture, D., & Medaglia, A. (2009). Material selection in building construction using Optimal Scoring Method (OSM). (ASCE, Ed.) Building a Sustainable Future, 1079-1086. SEOPC. (2006). R-023 Reglamento para el diseño de plantas físicas escolares. Shehab, T., & Noureddine, A. (2014). Prioritization Model for Rehabilitation of Public School Buildings in California. International Journal of Construction Education and Research, 10(1), 58-75. The United Nations. (1948). Universal Declaration of Human Rights. Retrieved 2022, from https://www.un.org/en/about-us/universal-declaration-of-human-rights The United Nations. (2015). Sustainable Development Goals. Retrieved 2022, from https://sdgs.un.org/es/goals The United Nations. (2020). Goal 4: Quality Education. Retrieved from https://www.undp.org/content/undp/en/home/sustainable-development-goals/goal-4-quality-education.html The United Nations. (2020). Policy Brief: Education during COVID-19 and beyond. Retrieved 2022, from https://www.un.org/development/desa/dspd/wp-content/uploads/sites/22/2020/08/sg_policy_brief_covid-19_and_education_august_2020.pdf The World Bank. (2019). Global Library of School Infrastructure - Taxonomy. Washington DC: The World Bank Report. Retrieved 2022, from https://gpss.worldbank.org/sites/gpss/files/2019-10/GLOSI%20taxonomy%20guide.pdf The World Bank. (2020). Evaluación del riesgo por sismo y viento huracanado y planes de reducción del riesgo para la infraestructura educativa pública de República Dominicana. The Global Program for Safer Schools. The World Bank. (2020). Global Library of School Infrastructure. Global Program for Safer School. Retrieved from https://gpss.worldbank.org/index.php/en/about-us The World Bank. (2020). Realizing the Future of Learning. Washington D.C. Retrieved 2022, from http://documents.worldbank.org/curated/en/250981606928190510/Realizing-the-Future-of-Learning-From-Learning-Poverty-to-Learning-for-Everyone-Everywhere UK Department of Education. (2011). Building Handbook. Retrieved from https://www.education-ni.gov.uk/building-handbook UNDRR & GADRRRES. (2017). Comprehensive school safety. Retrieved from https://www.undrr.org/publication/comprehensive-school-safety UNESCO. (2019). UNESCO Guidelines for Assessing Learning Facilities in the Context of Disaster Risk Reduction and Climate Change Adaptation - VISUS (Vol. 1). Paris. UNESCO. (2020). Global Education Monitoring Report Summary 2020: Inclusion and education: All means all. Paris. Retrieved 2022, from https://unesdoc.unesco.org/ark:/48223/pf0000373718 UNESCO, UNICEF & The World Bank. (2020). What have we learnt? - Overview of findings from a survey of ministries of education on national response to COVID-19. UNICEF. (2008). More than 10,000 schools in Sichuan badly damaged. Press release. Retrieved 2023, from https://www.unicef.cn/en/press-releases/more-10000-schools-sichuan-badly-damaged UNICEF. (2019). Every Child Learns: UNICEF Education Strategy 2019-2030. Retrieved 2022, from https://www.unicef.org/media/59856/file/UNICEF-education-strategy-2019-2030.pdf Yamin, L., Ghesquiere, F., Cardona, O., & Ordaz, M. (2013). Modelación probabilista para la gestión del riesgo de desastre, El caso de Bogotá, Colombia. Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C., & Da Fonseca, V. (2003). Performance assessment of multiobjective optimizers: An analysis and review. IEEE Transactions on Evolutionary Computation, 7(2), 117-132. |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttps://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Correal Daza, Juan Francisco Javierb4423406-a0ae-4163-a871-658d55e8fe15600Medaglia González, Andrés L.ab26b4f9-1a45-426b-a76b-b50780a40a4e600Fernández Miranda, Rafael Ignacio7afcedda-5f87-4860-ace4-ace19164a289600D'Ayala, DinaTsuneki, HoriReyes Ortiz, Juan CarlosCentro de Investigación en Materiales y Obras Civiles - CIMOCCentro para la Optimización y Probabilidad Aplicada - COPA2023-02-14T18:35:06Z2023-02-14T18:35:06Z2023-01-13http://hdl.handle.net/1992/6496610.57784/1992/64966instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Ph.D. thesis document by Rafael Fernández in partial fulfillment of the requirements for the degree of Ph.D. in Engineering.School infrastructure affects the quality of learning and performance of children and youth. Particularly, in the Latin-American and Caribbean context, natural hazards such as earthquakes, floods, and landslides, threaten school facilities. Additionally, problems related to the functionality of these facilities are common in the region, such as an inadequate number of classrooms, lack of recreation and leisure spaces, poor lighting and ventilation, old furniture, and deficient connectivity. At a national level, the decision-making process to prioritize schools' interventions becomes even more challenging due to limited resources and lack of information. We propose a decision-making framework that prioritizes school infrastructure investment with limited budgets, using clustering procedures, a multi-criteria utility function, and an optimization component. This framework allows better public policy decisions and benefits students in terms of infrastructure quality with a multicriteria perspective, improving both safety and functional conditions. We illustrate the framework with a case study applied to the public school infrastructure in the Dominican Republic and Cali.This study was developed under a project in the Dominican Republic funded by the Global Program for Safer Schools (GPSS) of The World Bank. Partially funded by the UNESCO Chair in Disaster Risk Reduction and Resilience Engineering.Doctor en IngenieríaDoctoradoGestión de riesgo de desastresMejoramiento de infraestructura existenteInfraestructura escolar172 páginasapplication/pdfengUniversidad de los AndesDoctorado en IngenieríaFacultad de IngenieríaDepartamento de Ingeniería Civil y AmbientalA decision-making framework for physical school infrastructure improvementTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttps://purl.org/redcol/resource_type/TDDecision-makingPublic school infrastructureOptimizationClusteringDisaster risk reductionFunctionalityBudget allocationIngenieríaAdhikari, R., D'Ayala, D., Ferreira, C., & Ramirez, F. (2018). Structural classification system for load bearing masonry school buildings. 16th European Conference on Earthquake Engineering (June), 1-12.Aleskerov, F., Say, A., Toker, A., Akin, H., & Altay, G. (2005). A cluster-based decision support system for estimating earthquake damage and casualties. Disasters, 29(3), 255-276.Anelli, A., Santa-Cruz, S., Vona, M., Tarque, N., & Laterza, M. (2019). A proactive and resilient seismic risk mitigation strategy for existing school buildings. Structure and Infrastructure Engineering, 15(2), 137-151. Retrieved from https://doi.org/10.1080/15732479.2018.1527373Anwar, G., Dong, Y., & Li, Y. (2020). Performance-based decision-making of buildings under seismic hazard considering long-term loss, sustainability, and resilience. Structure and Infrastructure Engineering, 17(4), 454-470. Retrieved from https://doi.org/10.1080/15732479.2020.1845751Asadi, A., Salman, A., & Li, Y. (2019). Multi-criteria decision-making for seismic resilience and sustainability of diagrid buildings. Engineering Structures, 229-246.Badri, M., Al Qubaisi, A., Mohaidat, J., Al Dhaheri, H., Yang, G., Al Rashedi, A., & Greer, K. (2016). An analytic hierarchy process for school quality and inspection: Model development and application. International Journal of Educational Management, 30(3), 437-459.Barrett, P., Treves, A., Shmis, T., Ambasz, D., & Ustinova, M. (2019). The Impact of School Infrastructure on Learning: A Synthesis of the Evidence.Beynon, J. (1997). Physical Facilities for education: What planners need to know.Bradley, R. (2018). Decision Theory: A Formal Philosophical Introduction. In S. Hansson, & V. Hendrick (Eds.), Introduction to Formal Philosophy. Springer, Cham. doi: https://doi.org/10.1007/978-3-319-77434-3_34Casella, G., Fienberg, S., & Olkin, I. (2013). An Introduction to Statistical Learning. Springer Texts in Statistics, 618. Retrieved from http://books.google.com/books?id=9tv0taI8l6YCCastillo, M. (2011). Toma de decisiones en las empresas (Ediciones ed.). Bogotá.Castro-Lacouture, D., Medaglia, A. L., & Skibniewski, M. J. (2007). Supply chain optimization tool for purchasing decisions in B2B construction marketplaces. Automation in Construction, 16(5), 569-575.Chang, S., Yip, J., Conger, T., Oulahen, G., & Marteleira, M. (2018). Community vulnerability to coastal hazards: Developing a typology for disaster risk reduction. Applied Geography, 91(August 2017), 81-88. Retrieved from https://doi.org/10.1016/j.apgeog.2017.12.017Corderi-Novoa, D., Tsuneki, H., Yamin, L. (2020). The Economics of Investment and Prioritization of Flood Risk Reduction Measures in a Watershed. Risk Analysis. Retrieved from https://doi.org/10.1111/risa.13642D'Ayala, D., Galasso, C., Nassirpour, A., Adhikari, R., Yamin, L., Fernandez, R., . . . Oreta, A. (2020). Resilient communities through safer schools. International Journal of Disaster Risk Reduction, 45, 101446. Retrieved from https://doi.org/10.1016/j.ijdrr.2019.101446Educate a Child. (2020). Barriers to education. Retrieved from https://educateachild.org/explore/barriers-to-educationEERI. (2019). Concrete Buildings Damaged in Earthquakes. Retrieved from http://db.concretecoalition.org/list?submit=Search&q=&occupancy=EducationFormisano, A., Castaldo, C., & Chiumiento, G. (2017). Optimal seismic upgrading of a reinforced concrete school building with metal-based devices using an efficient multi-criteria decision-making method. Structure and Infrastructure Engineering, 13(11), 1373-1389. Retrieved from http://dx.doi.org/10.1080/15732479.2016.1268174GEER. (2016). GEER-ATC earthquake reconnaissance April 16th 2016, Muisne, Ecuador.GEER. (2017). Geotechnical Engineering Reconnaissance Of The 19 September 2017 Mw 7.1 Puebla-Mexico City Earthquake Version 1.0.Govaert, G., & Nadif, M. (2008). 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