Journal of Emergency Management最新文献_第7页

Decision-making drivers for pandemic response for Institutions of Higher Education. 高等教育机构应对大流行病的决策驱动因素。

Journal of Emergency Management Pub Date : 2024-05-01 DOI: 10.5055/jem.0823

Rebecca Morgenstern Brenner, Daneille L Eiseman, Elizabeth A Dunn

引用次数: 0

Ocean state rising: Storm simulation and vulnerability mapping to predict hurricane impacts for Rhode Island's critical infrastructure. 海洋之州崛起：风暴模拟和脆弱性绘图，预测飓风对罗德岛关键基础设施的影响。

Journal of Emergency Management Pub Date : 2024-04-03 DOI: 10.5055/jem.0801

Samuel Adams, Austin Becker, Kyle McElroy, Noah Hallisey, P. Stempel, Isaac Ginis, Deborah Crowley

{"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}

引用次数: 0

Manufactured housing communities and climate change: Understanding key vulnerabilities and recommendations for emergency managers. 人造房屋社区与气候变化：了解关键脆弱性并为应急管理人员提出建议。

Journal of Emergency Management Pub Date : 2024-04-03 DOI: 10.5055/jem.0845

Kelly Hamshaw, Daniel Baker

{"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}

引用次数: 0

Identifying and assessing corporate employment variables that influence community resilience: A novel model. 确定和评估影响社区复原力的企业就业变量：一个新颖的模型。

Journal of Emergency Management Pub Date : 2024-04-03 DOI: 10.5055/jem.0808

E. Wood, Jon C Lam, Monica Sanders

{"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}

引用次数: 0

Leveraging technology in emergency management: An opportunity to improve compounding and cascading hazards linked to climate change. 在应急管理中利用技术：改善与气候变化相关的复合危害和连带危害的机会。

Journal of Emergency Management Pub Date : 2024-04-03 DOI: 10.5055/jem.0854

Attila Hertelendy

引用次数: 0

Special Issue on Climate Change and Sustainability in Emergency Management 气候变化与应急管理的可持续性》特刊

Journal of Emergency Management Pub Date : 2024-04-03 DOI: 10.5055/jem.0857

Journal of Emergency Management

引用次数: 0

A Hegelian approach to resilient communities. 黑格尔式的复原社区方法。

Journal of Emergency Management Pub Date : 2024-04-03 DOI: 10.5055/jem.0811

Richard A Buck

引用次数: 0

COVID-19 and climate change concerns: Matters arising. COVID-19 和气候变化问题：提出的事项。

Journal of Emergency Management Pub Date : 2024-04-03 DOI: 10.5055/jem.0802

Anthony Amoah, Peter Asare-Nuamah, A. Limantol, A. M. Alhassan

引用次数: 0

Emergency management and sustainability: Understanding the link between disaster and citizen participation for sustainability efforts and climate change. 应急管理与可持续性：了解灾害与公民参与可持续发展努力和气候变化之间的联系。

Journal of Emergency Management Pub Date : 2024-04-03 DOI: 10.5055/jem.0824

Brian Don Williams

{"title":"Emergency management and sustainability: Understanding the link between disaster and citizen participation for sustainability efforts and climate change.","authors":"Brian Don Williams","doi":"10.5055/jem.0824","DOIUrl":"https://doi.org/10.5055/jem.0824","url":null,"abstract":"The goal of this study is to examine how disaster experience influences local government views on citizen participation in addressing issues of sustainability, such as climate change. This study considers concepts such as wicked problems, the social order, the environment, economic development, and citizen participation where sustainability can be considered a solution to help manage and solve the challenges of disaster, like climate change. The data are taken from a 2015 International City/County Management Association national survey that examines the link between disaster and sustainability. The results show that more than half of the respondents do not view public participation as having much of an impact on sustainability; however, we can expect public participation to increasingly impact sustainability efforts as communities experience more disaster. This suggests that emergency management needs to understand public pressures regarding wicked problems, such as climate change, to collectively address the global influence of environmental, economic, and social issues that have local effects on their communities.","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"249 3","pages":"11-23"},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140746081","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}

引用次数: 0

Rapid assessment of public interest in drought and its likely drivers in South Africa. 快速评估南非公众对干旱及其可能驱动因素的兴趣。

Journal of Emergency Management Pub Date : 2024-04-03 DOI: 10.5055/jem.0834

Robyn J Bayne, Des Pyle, Masterson Chipumuro, Roman Tandlich

{"title":"Rapid assessment of public interest in drought and its likely drivers in South Africa.","authors":"Robyn J Bayne, Des Pyle, Masterson Chipumuro, Roman Tandlich","doi":"10.5055/jem.0834","DOIUrl":"https://doi.org/10.5055/jem.0834","url":null,"abstract":"The monthly search volumes for drought were extracted from Google® for South Africa using the Keywordsevery-where.com plugin from January 2004 until June 2022. To identify the potential qualitative drivers for such public interest the following data extracted by the plugin were investigated and analysed: the drought-related keywords, the long-tail keywords similar to drought, and the \"people also searched for category\" from the South African users. The Google Trends monthly score was extracted for South Africa and the Eastern Cape Province, and specific local municipalities/towns/cities in the province. The aim was to assess the relative significance of the drought interest in comparison to public interest in other search terms. The results of the Kruskal-Wallis analyses of variance by ranks showed that there was a statistically significant difference between individual values of the monthly search volumes for drought in South Africa, as a function of time of data extraction (5 percent level of significance; p-value ≤ 4.7 × 10-14). The monthly search volumes increased with time, which is based on the results of the Mann-Kendall test at a 5 percent level of significance (p-value ≤ 0.0092). Analyses of the Google Trends scores indicate that the relative interest in drought in South Africa and the Eastern Cape Province increased with time between January 2004 and June 2022 (the Mann-Kendall test at a 5 percent level of significance; p-value = 0.0011). The population's searches for drought were relatively low when compared to other search terms on Google. Drought adaptation of the South African community could be considered a driver of the Google searches for drought, but it is a marginal topic compared to other topics in Google searches. It might be necessary to increase this significance by investigating the \"Google-search patterns for droughts\" in the areas of Tshikaro, Mafusini, Cofimvaba, and Nxotsheni in the Eastern Cape Province of South Africa.","PeriodicalId":38336,"journal":{"name":"Journal of Emergency Management","volume":"74 4","pages":"101-112"},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140747261","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}

引用次数: 0