Huisman Janine, Martyr Rosanne, Rott René, Smits Jeroen
Global Data Lab, Economics, Institute for Management Research, Radboud University, Nijmegen, the Netherlands.
Climate Analytics, Berlin, Germany.
Sci Data. 2025 Sep 1;12(1):1527. doi: 10.1038/s41597-025-05732-z.
This data descriptor presents the GVI Projections Database with projections of socioeconomic vulnerability for the period 2020-2100 along three Shared Socioeconomic Pathways (SSPs) for almost all countries of the world. The projections are based on the GDL Vulnerability Index (GVI), a composite index for monitoring the human components of vulnerability to climate change, natural disasters and other shocks for societies and geographic areas across the globe. The GVI is based on an additive formula that summarizes the essence of seven major socioeconomic dimensions of vulnerability into one number. This formula approach makes it possible to compute the index for any region at any point in time for which the underlying indicators are available. We derive projections of these indicators from the SSP databases for each fifth year in the period 2020-2100. These projections are subsequently used to compute future GVI values for countries and major global regions for three SSPs: the green road scenario (SSP1), the middle of the road scenario (SSP2), and the rocky road scenario (SSP3).
本数据描述展示了全球脆弱性指数（GVI）预测数据库，其中包含了2020年至2100年期间，几乎世界所有国家沿着三条共享社会经济路径（SSP）的社会经济脆弱性预测。这些预测基于全球发展实验室脆弱性指数（GVI），这是一个综合指数，用于监测全球社会和地理区域在气候变化、自然灾害及其他冲击下的脆弱性中的人类因素。GVI基于一个加法公式，该公式将脆弱性的七个主要社会经济维度的本质总结为一个数字。这种公式方法使得在有基础指标的任何时间点都能为任何地区计算该指数成为可能。我们从2020年至2100年期间每五年的SSP数据库中得出这些指标的预测值。随后，这些预测值被用于计算三个SSP情景下各国和全球主要地区未来的GVI值：绿色道路情景（SSP1）、中间道路情景（SSP2）和崎岖道路情景（SSP3）。
