Advancing community disaster resilience: A data-knowledge driven paradigm for integrating environmental science and policy decision-making

IF 5.2 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science & Policy Pub Date : 2025-07-29 DOI:10.1016/j.envsci.2025.104180

Siyu Chen , Qiang Zou , Bin Wang , Wentao Zhou , Hu Jiang , Bin Zhou , Tao Yang

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引用次数: 0

Abstract

Researching disaster resilience communities involves complex, interdisciplinary efforts. Integrating various disciplines in disaster resilience research remains challenging, particularly in quantifying community resilience and reaching consensus on implementation strategies. Despite the widespread adoption of resilience research methodologies, data and information are often fragmented, impeding effective decision-making processes for enhancing community resilience. To advance the achievement of SDG 11 and implement more robust practical actions, it is essential to critically evaluate the work done thus far and identify the obstacles impeding progress toward the targets. This study critically reviews the current landscape of disaster resilience research, identifying key obstacles and proposing a data-knowledge-driven framework to enhance interdisciplinary integration and inform policy decisions. This framework supports more effective environment decision-making throughout the disaster cycle by consolidating fragmented data and optimizing resilience assessment systems. Through scientometric and critical reviews, we provide insights into resilience research dynamics and offer recommendations for advancing sustainable and resilient communities in the post-SDG era.

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推进社区抗灾能力：整合环境科学与政策决策的数据知识驱动范式

研究抗灾社区涉及复杂的跨学科工作。在灾害恢复力研究中整合不同学科仍然具有挑战性，特别是在量化社区恢复力和就实施战略达成共识方面。尽管复原力研究方法被广泛采用，但数据和信息往往是碎片化的，阻碍了增强社区复原力的有效决策过程。为推动实现可持续发展目标11并采取更有力的实际行动，有必要对迄今所做的工作进行批判性评估，并确定阻碍实现具体目标的障碍。本研究批判性地回顾了灾害恢复力研究的现状，确定了主要障碍，并提出了一个数据知识驱动的框架，以加强跨学科整合并为政策决策提供信息。该框架通过整合分散的数据和优化复原力评估系统，支持在整个灾害周期内更有效的环境决策。通过科学计量学和批判性评论，我们提供了对弹性研究动态的见解，并为在后可持续发展目标时代推进可持续和弹性社区提供了建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Environmental Science & Policy 环境科学-环境科学

CiteScore

10.90

自引率

8.30%

发文量

332

审稿时长

68 days

期刊介绍： Environmental Science & Policy promotes communication among government, business and industry, academia, and non-governmental organisations who are instrumental in the solution of environmental problems. It also seeks to advance interdisciplinary research of policy relevance on environmental issues such as climate change, biodiversity, environmental pollution and wastes, renewable and non-renewable natural resources, sustainability, and the interactions among these issues. The journal emphasises the linkages between these environmental issues and social and economic issues such as production, transport, consumption, growth, demographic changes, well-being, and health. However, the subject coverage will not be restricted to these issues and the introduction of new dimensions will be encouraged.