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Prioritization Model for Rehabilitation of Public School Buildings in California

机译:加州公立学校建筑物修复的优先模型

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摘要

The condition of the nation's kindergarten through 12th (K-12) grade public school buildings is considered to be in bad shape. To bring back the condition of the American K-12 schools to an acceptable level, it is estimated that about $320 billion may be required. As a starting effort, $40 billion was allocated by the Federal Government to improve the current condition of public school buildings. To properly manage the expenditure of this fund, a prioritization system is required. Existing school prioritization systems in the State of California are based on the subjective judgment of decision-makers and their manual interpretation and manipulation of data collected by their subordinates. This current prioritization practice lacks a structured methodology that rationalizes its outcomes. It may also lead to misleading conclusions, and accordingly, misuse of available resources, especially in challenging cases where the conditions of multiple school buildings may be very similar. This article presents a computer-based prioritization system for the rehabilitation of school buildings in the State of California. The system augments the current school condition data collection process, uses the experience of industry experts, and assists in allocating rehabilitations funds in a rational manner that assures addressing the most deteriorated schools.
机译:全国幼儿园到12(K-12)年级公立学校建筑物的状况被认为是不良的。为了使美国K-12学校的状况恢复到可接受的水平,估计可能需要约3200亿美元。首先,联邦政府拨款400亿美元改善公立学校建筑的现状。为了适当地管理这笔资金的支出,需要一个优先级排序系统。加利福尼亚州现有的学校优先级排序系统基于决策者的主观判断以及他们对下属收集的数据的人工解释和操纵。当前的优先排序实践缺乏合理化其结果的结构化方法。这也可能导致误导性的结论,并因此导致对可用资源的滥用,特别是在挑战性的情况下,即多个学校建筑物的状况可能非常相似。本文介绍了一种基于计算机的优先系统,用于加利福尼亚州的教学楼修复。该系统扩大了当前的学校状况数据收集流程,利用了行业专家的经验,并以合理的方式协助分配了康复资金,以确保能够应对最恶化的学校。

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