Gil Leydy K Torres, Valdelamar Martínez David, Franco Kellys Babilonia, Arrieta Pastrana Alfonso, Saba Manuel
Civil Engineering Program, Universidad de Cartagena, Calle 30 #, 48-152, Cartagena, Colombia.
Heliyon. 2024 Sep 6;10(17):e37522. doi: 10.1016/j.heliyon.2024.e37522. eCollection 2024 Sep 15.
This paper presents a systematic and data-driven approach to prioritize interventions in urban areas with asbestos cement (AC) roofs, addressing the urgent need to mitigate asbestos-related risks. The objective is to propose a comprehensive methodology that considers multiple criteria at the neighborhood level, allowing for a nuanced assessment of intervention priorities. The methodology involves the normalization of various parameters, including population density, facility density, and the area covered by asbestos-cement roofs. In addition, an innovative aspect is introduced by incorporating weathering status identification data, represented as an index, validated in previous research, further enriching the evaluation process. The integration of these diverse factors allows for a holistic understanding of the risk landscape associated with AC roofs in urban settings. The cornerstone of the proposed approach is the development of a Priority Intervention Index (PII) at the neighborhood level. This index serves to standardize the assessment of intervention priorities, enabling a fair and transparent comparison across different regions. To enhance practical application, the PII is discretized into three categories, low, mid and high intervention priority. The results obtained are robust, replicable in other scenarios, and practical for decision-makers. The new methodology provides a structured and quantifiable approach to identify and prioritize areas for asbestos-related interventions based on well-defined criteria at the neighborhood level. The resulting prioritization strategy offers urban planners and local officials a clear and evidence-based tool to allocate resources efficiently and effectively manage the inherent risks associated with AC roofs in urban environments. The paper will describe how the prioritization can be applied "at the neighborhood level" by urban planners and local officials.
本文提出了一种系统的、数据驱动的方法,用于确定石棉水泥(AC)屋顶城市地区干预措施的优先级,以应对减轻石棉相关风险的迫切需求。目标是提出一种综合方法,该方法在邻里层面考虑多个标准,以便对干预优先级进行细致入微的评估。该方法涉及对各种参数进行归一化,包括人口密度、设施密度以及石棉水泥屋顶覆盖的面积。此外,通过纳入风化状态识别数据(以一个指数表示,在先前研究中得到验证)引入了一个创新方面,进一步丰富了评估过程。这些不同因素的整合使得能够全面了解城市环境中与AC屋顶相关的风险状况。所提出方法的核心是在邻里层面开发一个优先干预指数(PII)。该指数用于标准化干预优先级的评估,从而能够在不同地区之间进行公平、透明的比较。为了增强实际应用效果,PII被离散化为低、中、高三个干预优先级类别。所获得的结果具有稳健性,可在其他场景中复制,并且对决策者具有实用性。新方法提供了一种结构化、可量化的方法,用于根据邻里层面明确界定的标准识别与石棉相关干预的区域并确定其优先级。由此产生的优先级策略为城市规划者和地方官员提供了一个清晰且基于证据的工具,以便有效地分配资源并管理城市环境中与AC屋顶相关的固有风险。本文将描述城市规划者和地方官员如何在“邻里层面”应用这种优先级确定方法。