Prioritizing stakeholder interactions in disaster management: A TOPSIS-based decision support tool for enhancing community resilience

IF 2.6 Q3 ENVIRONMENTAL SCIENCES Progress in Disaster Science Pub Date : 2024-03-01 DOI:10.1016/j.pdisas.2024.100320
Sahar Elkady , Sara Mehryar , Josune Hernantes , Leire Labaka
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引用次数: 0

Abstract

The escalating impact of disasters underscores the urgency of building resilient communities. Interactions among community stakeholders play a pivotal role in fostering resilience but improving such interactions is often hindered by competing priorities and resource limitations. To address this challenge, this paper proposes a decision support tool aimed at prioritizing context-specific interventions that enhance stakeholder interactions in disaster management. The tool includes two phases: (1) impact-based prioritization, identifying the most significant factors influencing interactions by evaluating the relative importance of each factor based on their direct and indirect influence; and (2) feasibility-based prioritization, assessing the practicality of interventions designed to improve the significant factors identified in phase 1. We surveyed Spanish emergency experts to gather data on the interaction factors and their evaluations against the decision-making criteria. We applied the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to analyze data. The results indicate that initiatives focusing on enhancing the leadership skills of emergency managers emerge as the most feasible and impactful interventions in our case study, followed by initiatives for facilitating community participation in the decision-making process and disaster response activities. On the other hand, initiatives for improving emergency response functionality, and disaster risk management plans are less feasible to implement. Additionally, we evaluated the usability and practicality of the tool together with emergency experts from different sectors. The tool received an overall positive evaluation from the experts, highlighting the significance of human factors such as status quo bias and structuring human judgment in decision-support tools while acknowledging potential resistance from users in utilizing such tools due to lack of education and training. The tool empowers policymakers and practitioners to effectively build resilient communities by offering them a systematic approach to prioritize context-specific interventions that enhance community resilience.

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在灾害管理中优先考虑利益相关者的互动:基于TOPSIS的决策支持工具,用于提高社区抗灾能力
灾害影响的不断升级凸显了建设具有抗灾能力的社区的紧迫性。社区利益相关者之间的互动在促进抗灾能力方面发挥着关键作用,但改善这种互动往往受到优先事项竞争和资源限制的阻碍。为应对这一挑战,本文提出了一种决策支持工具,旨在确定针对具体情况的干预措施的优先次序,以加强利益相关者在灾害管理中的互动。该工具包括两个阶段:(1) 基于影响的优先排序,根据每个因素的直接和间接影响评估其相对重要性,从而确定影响互动的最重要因素;(2) 基于可行性的优先排序,评估旨在改善第一阶段确定的重要因素的干预措施的实用性。我们对西班牙应急专家进行了调查,以收集有关交互因素的数据以及他们对决策标准的评价。我们采用了理想解决方案相似度排序偏好技术(TOPSIS)来分析数据。结果表明,在我们的案例研究中,以提高应急管理人员领导技能为重点的措施是最可行、最有影响力的干预措施,其次是促进社区参与决策过程和救灾活动的措施。另一方面,改善应急功能和灾害风险管理计划的措施则不太可行。此外,我们还与来自不同部门的应急专家一起评估了该工具的可用性和实用性。专家们对该工具的总体评价是积极的,强调了人为因素的重要性,如决策支持工具中的现状偏差和人的判断结构,同时也承认由于缺乏教育和培训,用户在使用此类工具时可能会遇到阻力。该工具为政策制定者和从业人员提供了一种系统方法,使他们能够优先考虑针对具体情况的干预措施,从而增强社区的抗灾能力,从而有效建设具有抗灾能力的社区。
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
Progress in Disaster Science
Progress in Disaster Science Social Sciences-Safety Research
CiteScore
14.60
自引率
3.20%
发文量
51
审稿时长
12 weeks
期刊介绍: Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery. A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.
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