城市做好应对气候变化的准备了吗?探索城市脆弱性与适应准备之间的空间差异

IF 3.3 Q2 ENVIRONMENTAL SCIENCES
Yufeng Yao, Zhejun Zhang, Zucheng Zhang, Fan Meng
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引用次数: 0

摘要

气候变化是一个日益严重的全球性危机,对生态系统、经济和人类生活构成威胁。为应对这些威胁,世界各地的不同城市采取了不同程度的适应战略,以应对不同程度的负面影响,如提高用水效率、加强健康应对系统等。尽管取得了一些进展,但各城市在气候变化脆弱性和适应准备方面仍存在空间差异。揭示这种空间差异背后的原因有助于我们制定更好的政策来应对气候问题。为此,我们利用来自碳排放披露项目(CDP)的 2020 年城市响应数据进行了实证分析,重点关注涵盖全球 421 个城市的数据集。具体来说,我们首先制定了一个 "脆弱性指数 "来衡量城市在气候灾害发生时遭受负面影响的倾向,并制定了一个 "准备指数 "来代表城市的适应准备水平。然后,我们引入 "差异得分 "来量化城市间的差异,并通过空间可视化发现差异的空间分布。此外,我们还采用一种名为 "k-means "的聚类分析方法,根据脆弱性指数和准备度指数对不同城市进行分组。最后,我们进行了地理加权回归(GWR),定量分析了不同城市的经济与差异得分之间的空间相关性。我们的研究主要揭示了以下几个结论:(1) 欧洲城市往往表现出较高的适应准备程度和较低的脆弱性。相比之下,非洲城市一直表现出较高的脆弱性,同时适应准备程度有限。(2)经济因素在城市适应准备水平和脆弱性之间的空间差异中起着重要作用;(3)经济对差异得分的影响表现出显著的空间异质性,与其他地区相比,经济对欧洲和非洲地区的影响更大。我们的研究在理论和实践上都有助于理解全球气候变化。它为制定更有效的气候变化减缓战略提供了循证支持,并为促进全球合作和倡议奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Are cities ready for climate change? Exploring the spatial discrepancies between urban vulnerability and adaptation readiness
Climate change is an increasingly severe global crisis, posing threats to ecosystems, economies, and human lives. To address these threats, different cities around the world have adopted various levels of adaptation strategies to cope with varying degrees of negative impact, such as increasing water efficiency and enhancing health response systems. Despite some progress, there is a spatial discrepancy among cities in terms of their vulnerability to climate change and their adaptation readiness. Uncovering the reasons behind this spatial discrepancy could help us formulate better policies to address climate issues. To this end, we conduct an empirical analysis using city response data from 2020, sourced from the Carbon Disclosure Project (CDP), focusing on a dataset that encompasses 421 cities worldwide. Specifically, we first formulate a “vulnerability index” to measure the propensity of cities to suffer negative effects in the event of climate hazards and a “readiness index” to represent their adaptation readiness level. Then we introduce the “discrepancy score” to quantify discrepancies across cities and discover the spatial distribution of the discrepancies through spatial visualization. Further, we employ a clustering analysis method named k-means to group different cities based on vulnerability index and readiness index. Finally, we perform Geographically Weighted Regression (GWR) to quantitatively analyze the spatial correlation between the economy and the discrepancy score of different cities. Our research mainly reveals several findings: (1) European cities tend to exhibit high levels of adaptation readiness with low degrees of vulnerability. In contrast, African cities consistently display heightened degrees of vulnerability combined with limited adaptation readiness. (2) Economic factors play a significant role in the spatial discrepancies between levels of adaptation readiness and degrees of vulnerability of cities; (3) The impact of the economy on the discrepancy scores exhibits significant spatial heterogeneity, with its influence being greater in European and African regions compared to other areas. Our study contributes both theoretically and practically to the comprehension of global climate change. It provides evidence-based support for the development of more effective climate change mitigation strategies and lays the foundation for fostering worldwide collaboration and initiatives.
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来源期刊
Frontiers in Climate
Frontiers in Climate Environmental Science-Environmental Science (miscellaneous)
CiteScore
4.50
自引率
0.00%
发文量
233
审稿时长
15 weeks
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