Gelb Jérémy, Apparicio Philippe, Alizadeh Hamzeh
Autorité Régionale de Transport Métropolitain - équipe Recherche et Valorisation des Données, 1001 Boulevard Robert-Bourassa, Montréal, QC, H3B 4L4, Canada.
Université de Sherbrooke - département de géomatique, 2500 Boulevard de l'université, Sherbrooke, QC, J1K 2R1, Canada.
Sci Data. 2024 Aug 31;11(1):954. doi: 10.1038/s41597-024-03771-6.
Assessing the social and economic vulnerability of populations within a given area is essential for conducting environmental equity evaluations and devising effective public policies to mitigate disparities. However, prevailing indicators used to measure socio-economic vulnerability exhibit several shortcomings. Primarily relying on factor analysis, these indicators face challenges in terms of comparability over time, lack of standardized scales, and inherent limitations associated with composite indicators. To address these shortcomings, we propose a novel approach that estimates the number of potentially vulnerable individuals by constructing a synthetic population. Our methodology, developed using open tools and datasets, offers a scalable solution applicable to the entire Canadian context. The resulting percentage of potentially vulnerable populations demonstrates strong correlations with traditional vulnerability indicators commonly used in Canada, while overcoming their inherent limitations. The generated dataset holds significant potential and serves as a valuable resource for both researchers and governmental organizations. It provides a robust foundation for conducting equity analyses, assessments, and policy evaluations, thereby facilitating evidence-based decision-making processes aimed at promoting social and economic inclusivity.
评估特定区域内人群的社会和经济脆弱性对于进行环境公平评估以及制定有效的公共政策以缩小差距至关重要。然而，用于衡量社会经济脆弱性的现有指标存在若干缺陷。这些指标主要依赖于因子分析，在时间可比性、缺乏标准化量表以及与综合指标相关的固有局限性方面面临挑战。为解决这些缺陷，我们提出一种新颖的方法，即通过构建合成人口来估计潜在脆弱个体的数量。我们使用开放工具和数据集开发的方法提供了一种可扩展的解决方案，适用于整个加拿大背景。由此得出的潜在脆弱人群百分比与加拿大常用的传统脆弱性指标显示出很强的相关性，同时克服了它们的固有局限性。生成的数据集具有巨大潜力，对研究人员和政府组织而言都是宝贵资源。它为进行公平分析、评估和政策评价提供了坚实基础，从而促进旨在推动社会和经济包容性的循证决策过程。
