The US National Weather Service (NWS) and emergency managers (EMs) around the country are tasked with communicating severe weather information to the public. Frequent interaction between professionals and residents is essential to building effective partnerships. This paper investigates these interactions and also explores the perspectives of NWS forecasters, EMs, and rural residents related to the efficacy of warning communication, message understanding, preferred platforms, and engagement in protective actions. Data for this study were collected through three original survey instruments that were directed to NWS forecasters and EMs across the country, and residents in four rural communities. Findings reveal that residents generally understand warning messages and generally feel tornado risk communication is effective in their communities. However, residents do not appear to have a plan of action formulated prior to a warning and are, therefore, making, rather than implementing, a plan when warning is issued. This study gives rural residents a voice in the warning communication process and a chance for forecasters and EMs to gain valuable information as they better plan to serve these communities.
{"title":"Forecasters, emergency managers, and residents: Building better risk communication.","authors":"Zebulon C Wallace","doi":"10.5055/jem.0745","DOIUrl":"https://doi.org/10.5055/jem.0745","url":null,"abstract":"<p><p>The US National Weather Service (NWS) and emergency managers (EMs) around the country are tasked with communicating severe weather information to the public. Frequent interaction between professionals and residents is essential to building effective partnerships. This paper investigates these interactions and also explores the perspectives of NWS forecasters, EMs, and rural residents related to the efficacy of warning communication, message understanding, preferred platforms, and engagement in protective actions. Data for this study were collected through three original survey instruments that were directed to NWS forecasters and EMs across the country, and residents in four rural communities. Findings reveal that residents generally understand warning messages and generally feel tornado risk communication is effective in their communities. However, residents do not appear to have a plan of action formulated prior to a warning and are, therefore, making, rather than implementing, a plan when warning is issued. This study gives rural residents a voice in the warning communication process and a chance for forecasters and EMs to gain valuable information as they better plan to serve these communities.</p>","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"22 3","pages":"235-248"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141627962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jeffery W Harvey, Calvin A Lathan, Henry T McDonald
Hierarchical command-style structures are commonplace in the management of disasters, though researchers have begun to recommend the exploration of networked approaches to incident management. Furthermore, few studies are explicitly looking at the rural context of disaster management. This study seeks to contribute to both topics by examining the motivations for emergent collaboration in the direction of the response and initial recovery to the coronavirus disease 2019 pandemic in a rural West Virginia community. Between March 2020 and March 2022, the primary investigator moderated regular briefings of a community task force convened to coordinate the pandemic response and recovery. As regular operations concluded, members completed a survey, and 10 randomly selected members participated in semistructured interviews regarding their experiences in the task force. Survey responses suggest that common motivations for collaboration in nondisaster contexts (as they appear in the scholarly literature) and potential benefits of networked approaches highlighted in the incident management literature could also serve as motivators within the disaster context. Qualitative interview data extend that discussion and identify the need to gain clear information regarding the concerned authorities and specific local information to better inform the expenditure of limited resources as two additional motivators for collaboration.
{"title":"Considering collaborative incident management: A study of the COVID-19 response and initial recovery in a rural West Virginia community.","authors":"Jeffery W Harvey, Calvin A Lathan, Henry T McDonald","doi":"10.5055/jem.0816","DOIUrl":"https://doi.org/10.5055/jem.0816","url":null,"abstract":"<p><p>Hierarchical command-style structures are commonplace in the management of disasters, though researchers have begun to recommend the exploration of networked approaches to incident management. Furthermore, few studies are explicitly looking at the rural context of disaster management. This study seeks to contribute to both topics by examining the motivations for emergent collaboration in the direction of the response and initial recovery to the coronavirus disease 2019 pandemic in a rural West Virginia community. Between March 2020 and March 2022, the primary investigator moderated regular briefings of a community task force convened to coordinate the pandemic response and recovery. As regular operations concluded, members completed a survey, and 10 randomly selected members participated in semistructured interviews regarding their experiences in the task force. Survey responses suggest that common motivations for collaboration in nondisaster contexts (as they appear in the scholarly literature) and potential benefits of networked approaches highlighted in the incident management literature could also serve as motivators within the disaster context. Qualitative interview data extend that discussion and identify the need to gain clear information regarding the concerned authorities and specific local information to better inform the expenditure of limited resources as two additional motivators for collaboration.</p>","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"22 3","pages":"275-290"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141627991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In August 2020, Sonoma County experienced the Walbridge Fire (part of the Lake-Napa Unit Complex Fire). Following the repopulation of evacuated residents, the Sonoma County Department of Emergency Management circulated a Resident Experience Survey to learn from stakeholders how the fire impacted their lives, how emergency response to the fire met their needs, and to gather information to improve future disaster response activities. A total of 1,583 English and 55 Spanish surveys were completed. This paper describes a mixed-method research using survey data to understand broader mental health implications of the Walbridge Fire on residents. This study developed a quantitative Global Worry Model to explore which survey factors contributed to poorer mental health outcomes. Quantitative analytics looked at how language, loss, emergency alerts, and family size were measured for significance with a survey reported on a mental health questionnaire. Open-ended survey responses surrounding previous disaster experience, pre-existing health issues, and environmental conditions (smoke and the coronavirus disease 2019 pandemic) were contributory to responder's stress and anxiety. Final data analysis concluded that those who faced immediate loss presented with significant self-declared stress and anxiety.
{"title":"Measuring mental health outcomes in Walbridge Fire 2020.","authors":"Laura McCombs, Nancy A Brown","doi":"10.5055/jem.0828","DOIUrl":"https://doi.org/10.5055/jem.0828","url":null,"abstract":"<p><p>In August 2020, Sonoma County experienced the Walbridge Fire (part of the Lake-Napa Unit Complex Fire). Following the repopulation of evacuated residents, the Sonoma County Department of Emergency Management circulated a Resident Experience Survey to learn from stakeholders how the fire impacted their lives, how emergency response to the fire met their needs, and to gather information to improve future disaster response activities. A total of 1,583 English and 55 Spanish surveys were completed. This paper describes a mixed-method research using survey data to understand broader mental health implications of the Walbridge Fire on residents. This study developed a quantitative Global Worry Model to explore which survey factors contributed to poorer mental health outcomes. Quantitative analytics looked at how language, loss, emergency alerts, and family size were measured for significance with a survey reported on a mental health questionnaire. Open-ended survey responses surrounding previous disaster experience, pre-existing health issues, and environmental conditions (smoke and the coronavirus disease 2019 pandemic) were contributory to responder's stress and anxiety. Final data analysis concluded that those who faced immediate loss presented with significant self-declared stress and anxiety.</p>","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"22 3","pages":"327-344"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141627963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rebecca Morgenstern Brenner, Daneille L Eiseman, Elizabeth A Dunn
The purpose of this research is to identify how decision-makers within anchor institutions, using the context of higher education, determine the course of action in response to an improbable disaster event, such as the recent coronavirus disease 2019 (COVID-19) pandemic. A survey was conducted among higher education decision-makers during spring 2020 at the moment they were adapting to COVID-19. The survey aimed to identify policies and planning measures that may help Institutions of Higher Education learn from this experience to maintain continuity of operations should similar or unanticipated events occur in the future. With this knowledge, both assets and detriments contributing to community vulnerability can be better balanced to inform decision-making. The outcomes of the analysis and shared reflections inform the development of future policy and strengthen existing processes for preparedness and mitigation planning for unexpected events.
{"title":"Decision-making drivers for pandemic response for Institutions of Higher Education.","authors":"Rebecca Morgenstern Brenner, Daneille L Eiseman, Elizabeth A Dunn","doi":"10.5055/jem.0823","DOIUrl":"https://doi.org/10.5055/jem.0823","url":null,"abstract":"<p><p>The purpose of this research is to identify how decision-makers within anchor institutions, using the context of higher education, determine the course of action in response to an improbable disaster event, such as the recent coronavirus disease 2019 (COVID-19) pandemic. A survey was conducted among higher education decision-makers during spring 2020 at the moment they were adapting to COVID-19. The survey aimed to identify policies and planning measures that may help Institutions of Higher Education learn from this experience to maintain continuity of operations should similar or unanticipated events occur in the future. With this knowledge, both assets and detriments contributing to community vulnerability can be better balanced to inform decision-making. The outcomes of the analysis and shared reflections inform the development of future policy and strengthen existing processes for preparedness and mitigation planning for unexpected events.</p>","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"22 3","pages":"311-326"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141627994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samuel Adams, Austin Becker, Kyle McElroy, Noah Hallisey, P. Stempel, Isaac Ginis, Deborah Crowley
Predicting the consequences of a major coastal storm is increasingly difficult as the result of global climate change and growing societal dependence on critical infrastructure (CI). Past storms are no longer a reliable predictor of future weather events, and the traditional approach to vulnerability assessment presents accumulated loss in largely quantitative terms that lack the specificity local emergency managers need to develop effective plans and mitigation strategies. The Rhode Island Coastal Hazards Modeling and Prediction (RI-CHAMP) system is a geographic information system (GIS)-based modeling tool that combines high-resolution storm simulations with geolocated vulnerability data to predict specific consequences based on local concerns about impacts to CI. This case study discusses implementing RI-CHAMP for the State of Rhode Island to predict impacts of wind and inundation on its CI during a hurricane, tropical storm, or nor'easter. This paper addresses the collection and field verification of vulnerability data, along with RI-CHAMP's process for integrating those data with storm models. The project deeply engaged end-users (emergency managers, facility managers, and other stakeholders) in developing RI-CHAMP's ArcGIS Online dashboard to ensure it provides specific, actionable data. The results of real and synthetic storm models are presented along with discussion of how the data in these simulations are being used by state and local emergency managers, facility owners, and others.
由于全球气候变化和社会对关键基础设施(CI)的依赖性不断增加,预测沿海大风暴的后果变得越来越困难。过去的风暴不再是未来天气事件的可靠预测指标,而传统的脆弱性评估方法主要是以量化的方式呈现累积损失,缺乏地方应急管理人员制定有效计划和减灾战略所需的具体性。罗德岛海岸灾害建模与预测(RI-CHAMP)系统是一种基于地理信息系统(GIS)的建模工具,它将高分辨率风暴模拟与地理位置脆弱性数据相结合,根据当地对 CI 影响的关注来预测具体后果。本案例研究讨论了罗德岛州实施 RI-CHAMP 的情况,以预测飓风、热带风暴或东北风期间风和洪水对其 CI 的影响。本文介绍了脆弱性数据的收集和实地验证,以及 RI-CHAMP 将这些数据与风暴模型相结合的过程。在开发 RI-CHAMP 的 ArcGIS 在线仪表板的过程中,该项目深入参与了终端用户(应急管理人员、设施管理人员和其他利益相关者),以确保其提供具体、可操作的数据。在介绍真实和合成风暴模型结果的同时,还讨论了州和地方应急管理人员、设施所有者及其他人员如何使用这些模拟数据。
{"title":"Ocean state rising: Storm simulation and vulnerability mapping to predict hurricane impacts for Rhode Island's critical infrastructure.","authors":"Samuel Adams, Austin Becker, Kyle McElroy, Noah Hallisey, P. Stempel, Isaac Ginis, Deborah Crowley","doi":"10.5055/jem.0801","DOIUrl":"https://doi.org/10.5055/jem.0801","url":null,"abstract":"Predicting the consequences of a major coastal storm is increasingly difficult as the result of global climate change and growing societal dependence on critical infrastructure (CI). Past storms are no longer a reliable predictor of future weather events, and the traditional approach to vulnerability assessment presents accumulated loss in largely quantitative terms that lack the specificity local emergency managers need to develop effective plans and mitigation strategies. The Rhode Island Coastal Hazards Modeling and Prediction (RI-CHAMP) system is a geographic information system (GIS)-based modeling tool that combines high-resolution storm simulations with geolocated vulnerability data to predict specific consequences based on local concerns about impacts to CI. This case study discusses implementing RI-CHAMP for the State of Rhode Island to predict impacts of wind and inundation on its CI during a hurricane, tropical storm, or nor'easter. This paper addresses the collection and field verification of vulnerability data, along with RI-CHAMP's process for integrating those data with storm models. The project deeply engaged end-users (emergency managers, facility managers, and other stakeholders) in developing RI-CHAMP's ArcGIS Online dashboard to ensure it provides specific, actionable data. The results of real and synthetic storm models are presented along with discussion of how the data in these simulations are being used by state and local emergency managers, facility owners, and others.","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"84 3","pages":"47-61"},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140750729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manufactured housing communities (MHCs), commonly referred to as mobile home parks, provide an estimated 2.7 million American households with largely unsubsidized, affordable housing. Climate change threatens those who call these communities home by exacerbating known structural and social vulnerabilities associated with this housing type-including but not limited to increased risks to flooding, extreme temperatures, high winds, and wildfires. Climate change requires emergency managers to understand the diverse, integrated, and complex vulnerabilities of MHCs that affect their exposure to climate change risk. This article presents findings from an integrative literature review focused on the climate-related vulnerabilities of these communities described at three levels of scale: household, housing structure, and park community. It then draws on 15 years of engagement and action research with MHC residents and stakeholders in Vermont, including several federally declared flooding disasters, to distill key recommendations for emergency managers for assisting MHCs to prepare for and respond to emergencies. As climate change accelerates, emergency managers can increase efficacy by learning about the MHCs in their jurisdictions by leveraging the best available data to characterize risks, integrating MHCs into planning and mitigation activities, and engaging in conversations with stakeholders, including MHC residents and their trusted partners.
{"title":"Manufactured housing communities and climate change: Understanding key vulnerabilities and recommendations for emergency managers.","authors":"Kelly Hamshaw, Daniel Baker","doi":"10.5055/jem.0845","DOIUrl":"https://doi.org/10.5055/jem.0845","url":null,"abstract":"Manufactured housing communities (MHCs), commonly referred to as mobile home parks, provide an estimated 2.7 million American households with largely unsubsidized, affordable housing. Climate change threatens those who call these communities home by exacerbating known structural and social vulnerabilities associated with this housing type-including but not limited to increased risks to flooding, extreme temperatures, high winds, and wildfires. Climate change requires emergency managers to understand the diverse, integrated, and complex vulnerabilities of MHCs that affect their exposure to climate change risk. This article presents findings from an integrative literature review focused on the climate-related vulnerabilities of these communities described at three levels of scale: household, housing structure, and park community. It then draws on 15 years of engagement and action research with MHC residents and stakeholders in Vermont, including several federally declared flooding disasters, to distill key recommendations for emergency managers for assisting MHCs to prepare for and respond to emergencies. As climate change accelerates, emergency managers can increase efficacy by learning about the MHCs in their jurisdictions by leveraging the best available data to characterize risks, integrating MHCs into planning and mitigation activities, and engaging in conversations with stakeholders, including MHC residents and their trusted partners.","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"179 ","pages":"87-99"},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140750495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Quantifying the concept of disaster resilience on a local level is becoming more critical as vulnerable communities face more frequent and intense disasters due to climate change. In the United States (US), corporations are often evaluated using social justice or environmental sustainability matrices for financial investment consideration. However, there are few tools available to measure a corporation's contribution to disaster resilience on a local level. This study includes a focused literature review of employment variables that contribute to community resilience and a national survey that asked US emergency managers to rank the variables they believe have the greatest influence on individual resilience. A novel corporate community resilience model that ranks corporate contributions to disaster resilience in the communities where they operate was developed and then tested against data from five employment sectors from the same area. This model can be used by stakeholders to better understand how corporations can most efficiently contribute to county- and subcounty-level disaster resilience. The metrics used in this study are universal and translative, and thus, the development of this resilience model has global disaster resilience implications.
{"title":"Identifying and assessing corporate employment variables that influence community resilience: A novel model.","authors":"E. Wood, Jon C Lam, Monica Sanders","doi":"10.5055/jem.0808","DOIUrl":"https://doi.org/10.5055/jem.0808","url":null,"abstract":"Quantifying the concept of disaster resilience on a local level is becoming more critical as vulnerable communities face more frequent and intense disasters due to climate change. In the United States (US), corporations are often evaluated using social justice or environmental sustainability matrices for financial investment consideration. However, there are few tools available to measure a corporation's contribution to disaster resilience on a local level. This study includes a focused literature review of employment variables that contribute to community resilience and a national survey that asked US emergency managers to rank the variables they believe have the greatest influence on individual resilience. A novel corporate community resilience model that ranks corporate contributions to disaster resilience in the communities where they operate was developed and then tested against data from five employment sectors from the same area. This model can be used by stakeholders to better understand how corporations can most efficiently contribute to county- and subcounty-level disaster resilience. The metrics used in this study are universal and translative, and thus, the development of this resilience model has global disaster resilience implications.","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"563 ","pages":"27-38"},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140749823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Intergovernmental Panel on Climate (IPCC) Sixth Assessment report concluded that we will see an increase in frequency of extreme environmental events around the world including, hurricanes, droughts, and wildfires.1 The report further describes cascading hazards when one hazard triggers another in a series such as extreme heat triggering a collapse of the power grid. The IPCC also discusses compounding hazards as multiple disasters occur at the same time for example a hurricane occurring at the same time as COVID-19 and a mass casualty event prompting a Urban Search & Rescue (USAR) response such as the Surfside and the Florida condo collapse.2 Studies suggest that there are gaps relating to Hazard Mitigation Plans (HMP) in addressing cascading events.3,4
{"title":"Leveraging technology in emergency management: An opportunity to improve compounding and cascading hazards linked to climate change.","authors":"Attila Hertelendy","doi":"10.5055/jem.0854","DOIUrl":"https://doi.org/10.5055/jem.0854","url":null,"abstract":"The Intergovernmental Panel on Climate (IPCC) Sixth Assessment report concluded that we will see an increase in frequency of extreme environmental events around the world including, hurricanes, droughts, and wildfires.1 The report further describes cascading hazards when one hazard triggers another in a series such as extreme heat triggering a collapse of the power grid. The IPCC also discusses compounding hazards as multiple disasters occur at the same time for example a hurricane occurring at the same time as COVID-19 and a mass casualty event prompting a Urban Search & Rescue (USAR) response such as the Surfside and the Florida condo collapse.2 Studies suggest that there are gaps relating to Hazard Mitigation Plans (HMP) in addressing cascading events.3,4","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"976 ","pages":"9-10"},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140749092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Special Issue on Climate Change and Sustainability in Emergency Management","authors":"Journal of Emergency Management","doi":"10.5055/jem.0857","DOIUrl":"https://doi.org/10.5055/jem.0857","url":null,"abstract":"Volume 22, Number 7","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"156 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140746667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This theoretical study draws on the insights of Georg Wilhelm Friedrich Hegel to suggest certain aspects of communities and other groups that would tend to make them more resilient in the face of climate change. While Hegel addresses resilient dimensions at the societal level, this study interprets Hegel's work to derive aspects of groups within society that would tend to make them resilient.
{"title":"A Hegelian approach to resilient communities.","authors":"Richard A Buck","doi":"10.5055/jem.0811","DOIUrl":"https://doi.org/10.5055/jem.0811","url":null,"abstract":"This theoretical study draws on the insights of Georg Wilhelm Friedrich Hegel to suggest certain aspects of communities and other groups that would tend to make them more resilient in the face of climate change. While Hegel addresses resilient dimensions at the societal level, this study interprets Hegel's work to derive aspects of groups within society that would tend to make them resilient.","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"525 ","pages":"41-45"},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140749941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}