Abstract In recent years, there have been many high-profile attacks on large, relatively unprotected venues, including entertainment and shopping complexes in the U.S. and around the world. Public and private decision-makers can choose from a wide array of terrorism countermeasures. A question arises as to whether patrons’ complaints about delays, inconvenience and invasion of privacy actually translate into decisions to attend fewer such events. This paper presents the bottom-line economic impacts of terrorism countermeasures on business revenue at three public assembly venues and on their surrounding regional economic activity. These venues include an MLB Stadium, an NBA/NHL Arena, and a Convention Center. The analysis is based primarily on survey responses relating to changes in attendance that stem from public perception of the implementation of four major types of countermeasures. The surveys indicated that the majority of patrons were not affected either way by the presence of the countermeasures, but nearly all of the remainder felt more secure in the presence of the countermeasures to both terrorism and ordinary crime, which resulted in an increased likelihood of attendance. The economic impact estimates yield a small but notable positive impact on business revenues, though this outcome varies significantly across venue types.
{"title":"Economic Impacts of Spillover Effects of Terrorism Countermeasures at Public Assembly Sites","authors":"A. Rose, D. Wei, Katie Byrd, R. John","doi":"10.1515/jhsem-2020-0048","DOIUrl":"https://doi.org/10.1515/jhsem-2020-0048","url":null,"abstract":"Abstract In recent years, there have been many high-profile attacks on large, relatively unprotected venues, including entertainment and shopping complexes in the U.S. and around the world. Public and private decision-makers can choose from a wide array of terrorism countermeasures. A question arises as to whether patrons’ complaints about delays, inconvenience and invasion of privacy actually translate into decisions to attend fewer such events. This paper presents the bottom-line economic impacts of terrorism countermeasures on business revenue at three public assembly venues and on their surrounding regional economic activity. These venues include an MLB Stadium, an NBA/NHL Arena, and a Convention Center. The analysis is based primarily on survey responses relating to changes in attendance that stem from public perception of the implementation of four major types of countermeasures. The surveys indicated that the majority of patrons were not affected either way by the presence of the countermeasures, but nearly all of the remainder felt more secure in the presence of the countermeasures to both terrorism and ordinary crime, which resulted in an increased likelihood of attendance. The economic impact estimates yield a small but notable positive impact on business revenues, though this outcome varies significantly across venue types.","PeriodicalId":46847,"journal":{"name":"Journal of Homeland Security and Emergency Management","volume":"57 1","pages":"87 - 125"},"PeriodicalIF":0.8,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72691104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract To our knowledge, this is one of the pioneering studies that examined the associations between changes in different dimensions of social vulnerability from 2000 to 2016 on damage levels resulting from Hurricane Harvey. The empirical work was based on data obtained from the FEMA Modeled Building Damage Assessments Harvey 20170829 and the Agency for Toxic Substances and Disease Registry (ATSDR)’s Geospatial Research, Analysis & Services Program (GRASP). Results from linear mixed effects modeling and the spatial error and CAR models suggested that damage level was determined by certain aspects of social vulnerability; the level of damage increased with inundation depth, population aging, and the proportion of minority population. Efforts to promote resilience in natural disasters should focus on individuals living in areas characterized by increases in population aging and minority population. Results also revealed that certain processes associated with economic growth and urban development might affect an area’s resilience and susceptibility to natural disasters and the processes associated with disaster response and mitigation.
{"title":"Examining the Potential Impacts of Social Vulnerability on Damage Levels in Areas Affected by Hurricane Harvey","authors":"Hui-Peng Liew, Nathan T. Eidem","doi":"10.1515/jhsem-2020-0014","DOIUrl":"https://doi.org/10.1515/jhsem-2020-0014","url":null,"abstract":"Abstract To our knowledge, this is one of the pioneering studies that examined the associations between changes in different dimensions of social vulnerability from 2000 to 2016 on damage levels resulting from Hurricane Harvey. The empirical work was based on data obtained from the FEMA Modeled Building Damage Assessments Harvey 20170829 and the Agency for Toxic Substances and Disease Registry (ATSDR)’s Geospatial Research, Analysis & Services Program (GRASP). Results from linear mixed effects modeling and the spatial error and CAR models suggested that damage level was determined by certain aspects of social vulnerability; the level of damage increased with inundation depth, population aging, and the proportion of minority population. Efforts to promote resilience in natural disasters should focus on individuals living in areas characterized by increases in population aging and minority population. Results also revealed that certain processes associated with economic growth and urban development might affect an area’s resilience and susceptibility to natural disasters and the processes associated with disaster response and mitigation.","PeriodicalId":46847,"journal":{"name":"Journal of Homeland Security and Emergency Management","volume":"175 1","pages":"51 - 66"},"PeriodicalIF":0.8,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85422625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract BP’s Deepwater Horizon oil spill in April 2010 was a major test of the National Incident Management System (NIMS), which the United States federal government mandates for response to all disasters. At the time, this disaster was perhaps the greatest event in scope and duration under NIMS disaster management guidelines since they were revised in 2008 (the third edition was published in 2017). Ten years later, NIMS provides procedures for operating a joint information center (JIC), but still offers no guidelines for ethical communication. This case study examines the ethical implications of 178 news releases distributed by the Deepwater Horizon Incident JIC. Qualitative analysis found that communication was conducted in an open, ethical manner, with few exceptions. Conflicts emerged, however, that may have compromised ethical standards. The authors conclude with recommendations to inform ethical decision making by JIC communicators.
{"title":"Incorporating Ethics in Disaster Communication Strategy: The Case of the U.S. Government in Deepwater Horizon","authors":"J. Horsley, Amber L. Hutchins","doi":"10.1515/jhsem-2020-0043","DOIUrl":"https://doi.org/10.1515/jhsem-2020-0043","url":null,"abstract":"Abstract BP’s Deepwater Horizon oil spill in April 2010 was a major test of the National Incident Management System (NIMS), which the United States federal government mandates for response to all disasters. At the time, this disaster was perhaps the greatest event in scope and duration under NIMS disaster management guidelines since they were revised in 2008 (the third edition was published in 2017). Ten years later, NIMS provides procedures for operating a joint information center (JIC), but still offers no guidelines for ethical communication. This case study examines the ethical implications of 178 news releases distributed by the Deepwater Horizon Incident JIC. Qualitative analysis found that communication was conducted in an open, ethical manner, with few exceptions. Conflicts emerged, however, that may have compromised ethical standards. The authors conclude with recommendations to inform ethical decision making by JIC communicators.","PeriodicalId":46847,"journal":{"name":"Journal of Homeland Security and Emergency Management","volume":"86 1","pages":"67 - 86"},"PeriodicalIF":0.8,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80684498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-16eCollection Date: 2022-01-01DOI: 10.1515/jhsem-2021-0013
Austin Becker, Noah Hallisey, Ellis Kalaidjian, Peter Stempel, Pamela Rubinoff
Emergency managers (EMs) need nuanced data that contextualize the local-scale risks and impacts posed by major storm events (e.g. hurricanes and nor'easters). Traditional tools available to EMs, such as weather forecasts or storm surge predictions, do not provide actionable data regarding specific local concerns, such as access by emergency vehicles and potential communication disruptions. However, new storm models now have sufficient resolution to make informed emergency management at the local scale. This paper presents a Participatory Action Research (PAR) approach to capture critical infrastructure managers concerns about hurricanes and nor'easters in Providence, Rhode Island (USA). Using these data collection approach, concerns can be integrated into numerical storm models and used in emergency management to flag potential consequences in real time during the advance of a storm. This paper presents the methodology and results from a pilot project conducted for emergency managers and highlights implications for practice and future academic research.
{"title":"The Hazard Consequence Prediction System: A Participatory Action Research Approach to Enhance Emergency Management.","authors":"Austin Becker, Noah Hallisey, Ellis Kalaidjian, Peter Stempel, Pamela Rubinoff","doi":"10.1515/jhsem-2021-0013","DOIUrl":"https://doi.org/10.1515/jhsem-2021-0013","url":null,"abstract":"<p><p>Emergency managers (EMs) need nuanced data that contextualize the local-scale risks and impacts posed by major storm events (e.g. hurricanes and nor'easters). Traditional tools available to EMs, such as weather forecasts or storm surge predictions, do not provide actionable data regarding specific local concerns, such as access by emergency vehicles and potential communication disruptions. However, new storm models now have sufficient resolution to make informed emergency management at the local scale. This paper presents a Participatory Action Research (PAR) approach to capture critical infrastructure managers concerns about hurricanes and nor'easters in Providence, Rhode Island (USA). Using these data collection approach, concerns can be integrated into numerical storm models and used in emergency management to flag potential consequences in real time during the advance of a storm. This paper presents the methodology and results from a pilot project conducted for emergency managers and highlights implications for practice and future academic research.</p>","PeriodicalId":46847,"journal":{"name":"Journal of Homeland Security and Emergency Management","volume":"19 1","pages":"1-25"},"PeriodicalIF":0.8,"publicationDate":"2021-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8865396/pdf/jhsem-19-1-jhsem-2021-0013.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40625928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Modeling terrorism is both necessary and difficult. While the necessity comes from the all too obvious real-world pressures our society is facing, the difficulty stems from the underlying complexity of the phenomena itself – there are many variables to account for, they are hard to measure, and the relationships between them are confounding. Since modeling terrorism is at its most onerous when it comes to predicting specific attacks, their timing and scale, we opted to work around this using observed probabilistic distribution and integrate power laws into our system dynamics model. After evaluating thousands of simulations runs, this allows us to replicate historical data as well as produce prognostic scenarios, while maintaining what we believe to be authentic behavior. Compromises need to be made, but we believe that this approach can be useful for systems highly dependent on events or parameters which we are unable to predict but whose distributions are known.
{"title":"Stochastic Modeling of Non-linear Terrorism Dynamics","authors":"Jakub Drmola, Tomáš Hubík","doi":"10.1515/jhsem-2020-0029","DOIUrl":"https://doi.org/10.1515/jhsem-2020-0029","url":null,"abstract":"Abstract Modeling terrorism is both necessary and difficult. While the necessity comes from the all too obvious real-world pressures our society is facing, the difficulty stems from the underlying complexity of the phenomena itself – there are many variables to account for, they are hard to measure, and the relationships between them are confounding. Since modeling terrorism is at its most onerous when it comes to predicting specific attacks, their timing and scale, we opted to work around this using observed probabilistic distribution and integrate power laws into our system dynamics model. After evaluating thousands of simulations runs, this allows us to replicate historical data as well as produce prognostic scenarios, while maintaining what we believe to be authentic behavior. Compromises need to be made, but we believe that this approach can be useful for systems highly dependent on events or parameters which we are unable to predict but whose distributions are known.","PeriodicalId":46847,"journal":{"name":"Journal of Homeland Security and Emergency Management","volume":"66 1","pages":"251 - 281"},"PeriodicalIF":0.8,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73985953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What COVID Teaches Us About Homeland Security: How Not to be the Mouse","authors":"Chappell Lawson","doi":"10.1515/jhsem-2021-0010","DOIUrl":"https://doi.org/10.1515/jhsem-2021-0010","url":null,"abstract":"","PeriodicalId":46847,"journal":{"name":"Journal of Homeland Security and Emergency Management","volume":"16 1","pages":"335 - 346"},"PeriodicalIF":0.8,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85560739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. C. Blackburn, Sayali Shelke, Sharon Zaldivar Alatorre
Abstract Concerns about infectious disease in mega-shelters following hurricanes should be a top priority. The COVID-19 pandemic demonstrated the challenge of implementing standard evacuation and sheltering procedures for hurricanes during an outbreak of a respiratory disease and the lessons learned from the 2020 hurricane season must be applied to future response efforts. In this article, we examine the current risk framing for hurricane preparedness and response utilizing Prospect Theory. We also examine how the COVID-19 pandemic has complicated this traditional framing and offer a new framework for which to provide adequate sheltering following a hurricane, while minimizing the risk of respiratory disease to those seeking shelter. We argue that such a framework is necessary to protect American citizens in future hurricane seasons.
{"title":"Reframing Risk in the Wake of COVID-19","authors":"C. C. Blackburn, Sayali Shelke, Sharon Zaldivar Alatorre","doi":"10.1515/jhsem-2021-0009","DOIUrl":"https://doi.org/10.1515/jhsem-2021-0009","url":null,"abstract":"Abstract Concerns about infectious disease in mega-shelters following hurricanes should be a top priority. The COVID-19 pandemic demonstrated the challenge of implementing standard evacuation and sheltering procedures for hurricanes during an outbreak of a respiratory disease and the lessons learned from the 2020 hurricane season must be applied to future response efforts. In this article, we examine the current risk framing for hurricane preparedness and response utilizing Prospect Theory. We also examine how the COVID-19 pandemic has complicated this traditional framing and offer a new framework for which to provide adequate sheltering following a hurricane, while minimizing the risk of respiratory disease to those seeking shelter. We argue that such a framework is necessary to protect American citizens in future hurricane seasons.","PeriodicalId":46847,"journal":{"name":"Journal of Homeland Security and Emergency Management","volume":"3 1","pages":"347 - 361"},"PeriodicalIF":0.8,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84669450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Caroline S. Hackerott, Alyssa L. Provencio, Jenniffer M. Santos-Hernández
Abstract This paper reviews the extant literature on the development of online education within the discipline of emergency management and identifies areas exposed by the COVID-19 pivot needing further examination. We suggest utilizing a Scholarship of Teaching and Learning framework to identify best practices for responding to issues of access and inclusion.
{"title":"Access and Inclusion in Emergency Management Online Education: Challenges Exposed by the COVID-19 Pivot","authors":"Caroline S. Hackerott, Alyssa L. Provencio, Jenniffer M. Santos-Hernández","doi":"10.1515/jhsem-2020-0074","DOIUrl":"https://doi.org/10.1515/jhsem-2020-0074","url":null,"abstract":"Abstract This paper reviews the extant literature on the development of online education within the discipline of emergency management and identifies areas exposed by the COVID-19 pivot needing further examination. We suggest utilizing a Scholarship of Teaching and Learning framework to identify best practices for responding to issues of access and inclusion.","PeriodicalId":46847,"journal":{"name":"Journal of Homeland Security and Emergency Management","volume":"31 1","pages":"317 - 334"},"PeriodicalIF":0.8,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73683681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Communities have a vital role to play in managing the risks associated with natural disasters. As such, their strengths, weaknesses, and priority concerns must be factored into policy decisions to ensure local recovery efforts reflect community needs. Regular engagement with community members provides opportunities for emergency managers and first responders to tap into a reservoir of local knowledge to build a shared understanding of how to foster local preparedness and help communities reduce the impact of a disaster. Not all communities are alike; needs can differ for a variety of reasons and can help determine the best ways to galvanize an appropriate response. The methods of engagement should also be tailored to ensure communities are willing and able to participate in the types of interactions emergency managers wish to initiate. In this paper, we used a mixed method approach to examine several different community engagement and data collection strategies conducted, observed or examined by our research team during six months of post-Hurricane Maria recovery efforts in Puerto Rico from February to July 2018. The aim of this study is to assess whether different outreach approaches used illuminated different perceptions about disaster preparedness and recovery and to identify what works and what does not work when engaging communities in emergency preparedness and recovery activities.
{"title":"Best Practices and Lessons Learned from Community Engagement and Data Collection Strategies in Post-Hurricane Maria Puerto Rico","authors":"L. Saum-Manning","doi":"10.1515/jhsem-2020-0075","DOIUrl":"https://doi.org/10.1515/jhsem-2020-0075","url":null,"abstract":"Abstract Communities have a vital role to play in managing the risks associated with natural disasters. As such, their strengths, weaknesses, and priority concerns must be factored into policy decisions to ensure local recovery efforts reflect community needs. Regular engagement with community members provides opportunities for emergency managers and first responders to tap into a reservoir of local knowledge to build a shared understanding of how to foster local preparedness and help communities reduce the impact of a disaster. Not all communities are alike; needs can differ for a variety of reasons and can help determine the best ways to galvanize an appropriate response. The methods of engagement should also be tailored to ensure communities are willing and able to participate in the types of interactions emergency managers wish to initiate. In this paper, we used a mixed method approach to examine several different community engagement and data collection strategies conducted, observed or examined by our research team during six months of post-Hurricane Maria recovery efforts in Puerto Rico from February to July 2018. The aim of this study is to assess whether different outreach approaches used illuminated different perceptions about disaster preparedness and recovery and to identify what works and what does not work when engaging communities in emergency preparedness and recovery activities.","PeriodicalId":46847,"journal":{"name":"Journal of Homeland Security and Emergency Management","volume":"7 1","pages":"225 - 250"},"PeriodicalIF":0.8,"publicationDate":"2021-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81892811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}