A decision-making framework for school infrastructure improvement programs

被引:5
作者
Fernandez, Rafael [1 ]
Correal, Juan Francisco [1 ]
D'Ayala, Dina [2 ]
Medaglia, Andres L. [3 ]
机构
[1] Univ Andes, Ctr Invest Mat & Obras Civiles CIMOC, Dept Civil & Environm Engn, Bogota, Colombia
[2] UCL, Dept Civil Environm & Geomat Engn, London, England
[3] Univ Los Andes, Ctr Optimizac & Probabil Aplicada COPA, Dept Ind Engn, Bogota, Colombia
关键词
Budget allocation; clustering; decision-making; disaster risk reduction; multi-criteria; optimization; public-school infrastructure; school's functionality; BERNOULLI MIXTURE-MODELS; SUPPORT; SYSTEM;
D O I
10.1080/15732479.2023.2199361
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
School infrastructure affects the quality of education and the performance of children and youth. Natural hazards such as earthquakes, hurricanes, floods, and landslides, threaten critical infrastructure such as school facilities. Additionally, problems related to the functionality of these facilities are common in the region, such as an inadequate number of classrooms, poor lighting, and insufficient ventilation, among others. At a national level, the decision-making process to prioritize schools' interventions becomes even more challenging due to limited resources and lack of information. Furthermore, there is a lack of a systematic approach to address the need of improving existing infrastructure taking into consideration limited resources. Considering this, a novel decision-making framework is proposed 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 buildings quality with a multi-criteria perspective, improving both safety and functional conditions. The framework is illustrated with a case study applied to the public-school infrastructure in the Dominican Republic.
引用
收藏
页码:165 / 184
页数:20
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