A multi-hazard assessment approach to reveal and compare heat- and flood-related risks and inequalities in London, Boston, and Sydney

IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Davide Longato , Denis Maragno
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引用次数: 0

Abstract

Climate hazards pose several challenges to cities and their inhabitants, especially the more vulnerable ones, calling for a systematic adoption of adaptation measures. Climate risk assessments are of undoubtful importance to investigate and comprehend the nature of climate-related risks, and can ideally support adaptation planning through the identification of risk hotspots. In this study, a replicable method for assessing population risk to be negatively affected by heat stress and (river and coastal) flooding is proposed, providing a tool to support risk-based adaptive planning. Through a novel multi-hazard and multi-metric perspective and a comparative approach to reveal how they perform in terms of climate justice, the method is applied in three major cities: London, UK; Boston, US; Sydney, Australia. Results show the intra-city risk spatial variability, together with the factors that, with different magnitudes, contribute to the final risk condition. Boston has the highest proportion of population living in the most at-risk areas for heat stress. The same applies to London concerning flood risk. Sydney has the lowest shares for both. Boston and London also show greater problems of uneven distribution of risk, with the low-income residents more likely living in the riskiest areas, especially regarding heat stress. While replicability in other contexts depends on data availability, the method and its metrics are flexible to be adjusted according to different typologies of input data. The use of assessments of this type may in principle support decisions that prioritize interventions in areas where more disadvantaged people live, thus theoretically alleviating intra-city inequalities. However, proper planning and monitoring are needed to avoid reverse effects, such as gentrification processes that could lead to exacerbating existing or creating new injustices.
揭示和比较伦敦、波士顿和悉尼与高温和洪水相关的风险和不平等的多灾害评估方法
气候灾害给城市及其居民,特别是较脆弱的城市及其居民带来了若干挑战,需要系统地采取适应措施。气候风险评估对于调查和理解气候相关风险的性质具有重要意义,并且可以通过识别风险热点来理想地支持适应规划。在这项研究中,提出了一种可复制的方法来评估受热应激和(河流和沿海)洪水负面影响的人口风险,为支持基于风险的适应性规划提供了一种工具。通过一种新颖的多危害和多度量视角和比较方法来揭示它们在气候正义方面的表现,该方法在三个主要城市中得到了应用:英国伦敦;波士顿,美国;澳大利亚悉尼。结果表明,城市内部风险的空间变异性以及不同程度的影响因素共同决定了最终的风险状况。波士顿居住在最容易发生热应激的地区的人口比例最高。这同样适用于伦敦的洪水风险。悉尼两地的股价都是最低的。波士顿和伦敦也显示出更大的风险分布不均问题,低收入居民更有可能生活在风险最高的地区,尤其是在热应激方面。虽然其他上下文中的可复制性取决于数据的可用性,但该方法及其度量可以根据输入数据的不同类型进行灵活调整。使用这种类型的评估原则上可以支持优先在弱势群体较多的地区进行干预的决策,从而在理论上减轻城市内部的不平等。但是,需要进行适当的规划和监测,以避免产生相反的影响,例如可能导致加剧现有不公正现象或产生新的不公正现象的高档化进程。
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来源期刊
International journal of disaster risk reduction
International journal of disaster risk reduction GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
8.70
自引率
18.00%
发文量
688
审稿时长
79 days
期刊介绍: The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international. Key topics:- -multifaceted disaster and cascading disasters -the development of disaster risk reduction strategies and techniques -discussion and development of effective warning and educational systems for risk management at all levels -disasters associated with climate change -vulnerability analysis and vulnerability trends -emerging risks -resilience against disasters. The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.
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