{"title":"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","authors":"Sahar Elkady , Sara Mehryar , Josune Hernantes , Leire Labaka","doi":"10.1016/j.pdisas.2024.100320","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"22 ","pages":"Article 100320"},"PeriodicalIF":2.6000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590061724000103/pdfft?md5=d7eba9e00cab2884ab9d807301f59441&pid=1-s2.0-S2590061724000103-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Prioritizing stakeholder interactions in disaster management: A TOPSIS-based decision support tool for enhancing community resilience\",\"authors\":\"Sahar Elkady , Sara Mehryar , Josune Hernantes , Leire Labaka\",\"doi\":\"10.1016/j.pdisas.2024.100320\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":52341,\"journal\":{\"name\":\"Progress in Disaster Science\",\"volume\":\"22 \",\"pages\":\"Article 100320\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2590061724000103/pdfft?md5=d7eba9e00cab2884ab9d807301f59441&pid=1-s2.0-S2590061724000103-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Disaster Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590061724000103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Disaster Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590061724000103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Prioritizing stakeholder interactions in disaster management: A TOPSIS-based decision support tool for enhancing community resilience
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.
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.