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社会脆弱性指数的发展:加强支持气候正义的方法。

Development of a social vulnerability index: Enhancing approaches to support climate justice.

作者信息

McCullagh D, Cámaro-García W, Dunne D, Nowbakht P, Cumiskey L, Gannon C, Phillips C

机构信息

MaREI, the SFI Research Centre for Energy, Climate and Marine.

Environmental Research Institute, University College Cork, Cork, Ireland.

出版信息

MethodsX. 2025 Mar 26;14:103290. doi: 10.1016/j.mex.2025.103290. eCollection 2025 Jun.

Abstract

Climate change is causing increasing frequency and severity of various hazards such as flooding and extreme temperatures. Vulnerability analysis that broadens the focus beyond exposure to hazards is invaluable in supporting just climate action. This study outlines the modifications made to the social vulnerability to environmental hazards index developed by Fitton et al., [1] building upon previous work to make the index hazard specific and applicable across a range of locations, with case studies in Ireland, Italy, Northern Ireland and Spain and by a variety of users. New indicators have been included in the current version of the Social Vulnerability Index (SVI) and various weighting methods proposed. This method was developed using programming tools in R and GIS (Geographic Information Systems), both of which are accessible and easily adapted and updated, to support wider dissemination and overall usability.•Step-by-step guidance on the use of the SVI so that the method can be adapted and replicated•A variety of methodology options to suit users with different levels of data availability•Tailored to the needs of local authorities to support climate adaptation measures that are equitable.

摘要

气候变化正导致洪水和极端气温等各种灾害的发生频率和严重程度不断增加。将关注点从暴露于灾害扩展到脆弱性分析,对于支持公正的气候行动具有重要价值。本研究概述了对菲顿等人[1]开发的环境灾害社会脆弱性指数所做的修改,基于此前的工作使该指数针对特定灾害且适用于一系列地点,并在爱尔兰、意大利、北爱尔兰和西班牙开展了案例研究,涉及各类用户。社会脆弱性指数(SVI)的当前版本纳入了新指标,并提出了各种加权方法。该方法是使用R语言和地理信息系统(GIS)中的编程工具开发的,这两种工具都易于获取且便于修改和更新,以支持更广泛的传播和整体可用性。

• 关于SVI使用的逐步指南,以便该方法能够被调整和复制

• 多种方法选项,以适应数据可用性不同水平的用户

• 根据地方当局的需求定制,以支持公平的气候适应措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e20d/11999302/953df24e434e/ga1.jpg

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