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Title: Examining multi-level and inter-organizational collaborative response to disasters: The case of Pakistan Floods in 2010.
Creator: Khosa, Sana, Kapucu, Naim, Wan, Thomas, Knox, Claire, Sadri, Houman, University of Central Florida
Abstract / Description: Catastrophic disasters are different than routine disasters and managing them requires the mobilization of inter-organizational, inter-governmental, cross-sectoral and international humanitarian support. The role of the international community through International Non-governmental Organizations (INGOs), and multi-lateral organizations such as the United Nations (UN) becomes imperative when the scale of the disaster is unprecedented and difficult for a country to manage on its own. The...
Show moreCatastrophic disasters are different than routine disasters and managing them requires the mobilization of inter-organizational, inter-governmental, cross-sectoral and international humanitarian support. The role of the international community through International Non-governmental Organizations (INGOs), and multi-lateral organizations such as the United Nations (UN) becomes imperative when the scale of the disaster is unprecedented and difficult for a country to manage on its own. The initial response and relief phase of managing disasters is one in which many agencies with different expertise, capacities, working mandates, resources, skills, working cultures and norms come together to coordinate and collaborate to provide timely response and relief services. Thus, the terrain of managing catastrophic disasters is complex and requires a deeper study to understand and delineate the factors shaping and facilitating collaborative response and relief efforts.This study examines the multi-level and multi-layered collaborative response networks present at the national-international level, provincial and district/local level of disaster response and interactions. In this research the nature and effectiveness of collaboration is being studied through a relevant case study of a catastrophic natural disaster, the 2010 Pakistan Floods. The phase of immediate response is explored primarily through Network Theory perspectives including supportive theoretical perspectives such as Social Capital, Resource Dependency, and Institutional Collective Action Theory perspectives that help to explain collaborative interactions in disaster response networks. This study explores and describes factors that influence (either facilitate or hinder) collaboration is disaster response networks.The key research questions for this study are: What factors facilitate and impede collaborative response to catastrophic disasters at the local, provincial, national and international levels? What are the differences and similarities in response systems at different levels? Additional questions address how leadership support (attributed to government and political leaders and organizations), institutional support (in the form of plans, international appeals of response, and development of relief funds to manage aid), network capacity of different organizations (programmatic and relational), nature of resource dependencies between responding agencies, and structural configurations of response systems impact the collaborative response in disasters.A case study method has been applied in this research. The 2010 Pakistan Floods response network/system is identified through content analysis of various newspapers, situation reports and after-action reports using the Social Network Analysis (SNA) method via UCINET Software 6.1. The actual response network is analyzed and compared with existing national disaster response plans to examine the effectiveness of collaborative response through centrality measures, clique analysis and visual display. This approach is supplemented with semi-structured interviews of key institutional representatives that responded to the 2010 Floods. These organizations and institutions were primarily identified through the networks formulated via SNA.Findings and results from the analysis reflect that the response networks at each level of analysis differ both in structural aspects and also in functional aspects. The nature of the international-national response system is focused on mobilizing donor support and receiving and managing aid, both in-kind and cash. Also a major role at the international and national level is to mobilize the UN cluster approach and focus on broader aims of response such as providing shelter and food to affected areas. Some of the factors identified as facilitating collaborative response were leadership of both national and international leaders, and availability of donor support and funds.At the provincial level of analysis, the Chief Minister of Punjab is playing a central and influential role and is partnering closely with the Armed Forces and local district administration. Interviews conducted of provincial level officials help to support the hypotheses concerning leadership support's influence on collaborative response and also the role of institutional support in the form of creation of plans, and policies that help to mobilize quick funds and resources for relief. At the local level of response, networks are highly influenced by local conditions and local capacities of the district administration. Thus, there are diverse factors impacting each level of collaborative disaster response. All in all, leadership support, institutional support and network structural aspects are important variables that impact the effectiveness of collaborative response.Today policy makers are trying to figure out ways to collaborate successfully across sector boundaries for better and effective service delivery, both in the mundane operational tasks and in uncertain and complex situations such as disasters and catastrophic events. Thus, this research helps in expanding the literature on collaborative public management, collaborative emergency management, and network management. Also the frequency of natural disasters throughout the world demonstrate the need to study and examine factors that contribute to or hinder the effectiveness of inter-organizational response in disasters
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Date Issued: 2013
Identifier: CFE0005361, ucf:50496
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005361

Title: Cross-Sector And Inter-Organizational Collaborative Capacity In Community Disaster Resilience And Sustainability: Evidence From Central Florida Counties.
Creator: Demiroz, Fatih, Kapucu, Naim, Hawkins, Christopher, Knox, Claire, Wan, Thomas, Rivera, Fernando, University of Central Florida
Abstract / Description: This study examines the relationships between interorganizational network development and sustainability, organizational capacity for emergency management, technology utilization, and community disaster resiliency. It is proposed that cross sector and interorganizational collaboration (i.e., network development and sustainability), information communication technology (ICT) utilization, and organizational capacity have a positive impact on disaster resiliency. Disaster resiliency is measured...
Show moreThis study examines the relationships between interorganizational network development and sustainability, organizational capacity for emergency management, technology utilization, and community disaster resiliency. It is proposed that cross sector and interorganizational collaboration (i.e., network development and sustainability), information communication technology (ICT) utilization, and organizational capacity have a positive impact on disaster resiliency. Disaster resiliency is measured with a three dimensional metric which includes effectiveness of disaster response, effectiveness of disaster recovery, and adaptive capacities.A questionnaire was sent to organizations that are part of the emergency management system in 11 counties in Central Florida. These organizations were identified by each county's comprehensive emergency management plans. County emergency managers served as the liaison people to reach organizations. They distributed the questionnaire and sent reminders to participants. The study aimed to reach an entire population of 855 emergency management affiliated organizations. The survey had a 25.28% response rate. Structural equation modeling was used to determine the impact of interorganizational network development, interorganizational network sustainability, information communication technology utilization, and organizational capacity on community disaster resiliency. The results of the study show that one third of the total variation in disaster resiliency was explained with the exogenous variables in the structural equation model (R2=.31). There was no statistically significant relationship between network development and disaster resiliency. Also, a correlation was hypothesized between organizational capacity and ICT utilization, according to the study findings no correlation was found between these two variables. Network development, organizational capacity, and ICT utilization were found to be positively associated with disaster resiliency. Among all the variables, organizational capacity had the highest impact on disaster resiliency (?=.36). ICT utilization and network development had almost equal regression weights (?=.25, ?=.26 respectively). A correlation was also found between network development and ICT utilization with ?=.23.The results suggest that organizations that are part of emergency management systems in Central Florida counties could enhance disaster resiliency of their communities by focusing on interorganizational and cross-sector network development, information communication technology utilization, and organizational capacity. Managerial craft has a critical role in developing relationship as most of the interorganizational ties are established with informal connections and mutual trust. Building relationship, installing technological systems, and carrying out joint trainings often exceeds financial capacities of organizations. Enabling more funding for these initiatives is another key point to which policy makers may pay attention.
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Date Issued: 2012
Identifier: CFE0004505, ucf:49286
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004505

Title: TECHNOLOGICAL DISASTERS: AN INVESTIGATION OF THE CONSERVATION OF RESOURCES THEORY ON DEPRESSION.
Creator: Gentry, Brian, Rivera, Fernando, University of Central Florida
Abstract / Description: Researchers studying the affects of resource loss following a technological disaster have exclusively investigated the acute period directly after the event occurred. This study applied Hobfoll's (1988, 1989) Conservation of Resources model in order to examine the long term effects of resource loss on depression in Cordova, Alaska a decade after the Exxon Valdez Oil spill. Results suggest that resource loss was a more prominent predictor for depression than demographics, involvement in...
Show moreResearchers studying the affects of resource loss following a technological disaster have exclusively investigated the acute period directly after the event occurred. This study applied Hobfoll's (1988, 1989) Conservation of Resources model in order to examine the long term effects of resource loss on depression in Cordova, Alaska a decade after the Exxon Valdez Oil spill. Results suggest that resource loss was a more prominent predictor for depression than demographics, involvement in the on-going litigation, or commercial fishing jobs. The research concludes that certain aspects of resource loss are critical in the development of depression after a technological disaster, and in understanding how to address depression in the community.
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Date Issued: 2008
Identifier: CFE0002337, ucf:47779
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002337

Title: Weathering the Storm: Effects of Storm Periods on Ancient Populations of Coastal Florida.
Creator: Parbus, Brett, Barber, Sarah, Donoghue, Joseph, Walker, John, University of Central Florida
Abstract / Description: Understanding human response to natural disasters is a core problem for environmental archaeologists. Hurricanes are often devastating to coastal populations, and recognizing behavioral change in response to these major storm events provides context for the resilience and adaptability of ancient coastal people. This research project focuses on retrodicting periods of increased storm frequency and intensity for regions of the Florida coast and comparing those storm periods to the existing...
Show moreUnderstanding human response to natural disasters is a core problem for environmental archaeologists. Hurricanes are often devastating to coastal populations, and recognizing behavioral change in response to these major storm events provides context for the resilience and adaptability of ancient coastal people. This research project focuses on retrodicting periods of increased storm frequency and intensity for regions of the Florida coast and comparing those storm periods to the existing archaeological record in order to determine if there are correlations between increased storminess and periods of site abandonment and/or changes in subsistence strategy. These potential correlations may aid in our understanding of human cultural response to dramatic environmental change. Particle size analysis was performed on sediment cores collected from 5 coastal Florida lakes in order to determine periods of increased storm occurrence dating back as far as 9000 B.P. After comparing these storm chronologies to dated materials from the existing archaeological record of the regions surrounding each of the coastal lakes, preliminary analysis shows the potential for correlation between periods of increased storminess and site abandonment. At the regional level and in several intra-site comparisons, there are some noticeable staggering effects between the periods of storminess and the radiocarbon dates of archaeological materials. Further investigation is needed to more fully understand the relationship between these two datasets, which may further our understanding of cultural resilience to environmental stressors and the catalyzing forces of site abandonment and subsistence change in coastal Florida.
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Date Issued: 2018
Identifier: CFE0007765, ucf:52382
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007765

Title: When There's No Home to Prepare: Understanding Natural Hazards Vulnerability Among the Homeless in Central Florida.
Creator: Settembrino, Marc, Rivera, Fernando, Wright, James, Koontz, Amanda, Kapucu, Naim, University of Central Florida
Abstract / Description: The current study explores the social construction of natural hazards vulnerability by examining the perceptions of emergency management personnel, homeless service providers and homeless men living in Central Florida. The matrix of vulnerability is proposed as a framework for studying disaster vulnerability, wherein vulnerability is viewed as a complex process consisting of social and physical risk, human agency and time. Using the matrix as a guiding framework, this study examines the risks...
Show moreThe current study explores the social construction of natural hazards vulnerability by examining the perceptions of emergency management personnel, homeless service providers and homeless men living in Central Florida. The matrix of vulnerability is proposed as a framework for studying disaster vulnerability, wherein vulnerability is viewed as a complex process consisting of social and physical risk, human agency and time. Using the matrix as a guiding framework, this study examines the risks that natural hazards present to the homeless living in Central Florida and the strategies used by the homeless to manage these risks. This study argues that because the homeless experience increased exposure to natural hazards coupled with potential chronic medical conditions, economic hardship, and social stigma, they are more vulnerable to natural hazards than the general population. However, this study finds that homeless men in Central Florida utilize a variety of strategies that help them manage their risks to severe and inclement weather in Central Florida.
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Date Issued: 2013
Identifier: CFE0004936, ucf:49618
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004936

Title: Exogenous Shocks and Political Unrest.
Creator: Nurmanova, Didara, Tezcur, Gunes Murat, Ash, Konstantin, Wilson, Bruce, Alpanda, Sami, University of Central Florida
Abstract / Description: This dissertation explores the role of exogenous shocks such as economic shocks and natural disasters in producing political unrest in the form of anti-government protests and ethnic riots. It is integrated by three articles, each covering a different topic. The first article argues that economic shocks play a crucial role in protest mobilization in rentier states conditional on weaker repressive capacity or higher taxation. Empirically, it conducts a cross-national study of high-resource...
Show moreThis dissertation explores the role of exogenous shocks such as economic shocks and natural disasters in producing political unrest in the form of anti-government protests and ethnic riots. It is integrated by three articles, each covering a different topic. The first article argues that economic shocks play a crucial role in protest mobilization in rentier states conditional on weaker repressive capacity or higher taxation. Empirically, it conducts a cross-national study of high-resource dependent states in the period of 1995-2014. The second article contends that there is a variation in a degree to which a country's regions are exposed to economic shocks. A higher regional exposure to economic shocks is argued to increase the likelihood of regional anti-government protest at in competitive autocracies. The argument is tested in a subnational analysis of Russia using original dataset of regional anti-government protest and regional economic data in the period of 2007-2015. The third article develops a theory of natural disasters and ethnic riots. It argues that climate-induced meteorological disasters increase chances of ethnic riots because of declined state capacity that creates uncertainty about enforcement of existing ethnic contracts, and feelings of uncertainty result in strong group categorization, stereotyping and polarization. The argument is tested in a subnational study of Hindu-Muslim riots in Indian states in the period of 1951-2015. The results of the studies in this dissertation offer three key findings: (1) higher resource rents lower protest likelihood in autocratic rentier states with higher repressive capacity; (2) regional unemployment is a strong predictor of anti-government protest; (3) natural disasters in the form of precipitation and temperature anomalies increase chances of ethnic riots. The findings suggest a conclusion that exogenous shocks are important predictors of anti-government protest and ethnic riots.
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Date Issued: 2019
Identifier: CFE0007510, ucf:52644
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007510

Title: Hurricane Maria: A Qualitative Study of Recently Displaced Students to the State of Florida.
Creator: Cabrera, Esmeralda, Rivera, Fernando, Donley, Amy, Hinojosa, Melanie, University of Central Florida
Abstract / Description: Over the past ten years Puerto Rico has been experiencing a severe economic crisis that was worsened when Hurricane Maria made landfall on September 20, 2017. Maria hit Puerto Rico as a category 4 storm, devastating the whole island and its 3.4 millionresidents. Many students were left with minimal educational choices after Hurricane Maria hit Puerto Rico. Research on Latino/a students shows that they are met with unique experiences and challenges as they pursue higher education. The current...
Show moreOver the past ten years Puerto Rico has been experiencing a severe economic crisis that was worsened when Hurricane Maria made landfall on September 20, 2017. Maria hit Puerto Rico as a category 4 storm, devastating the whole island and its 3.4 millionresidents. Many students were left with minimal educational choices after Hurricane Maria hit Puerto Rico. Research on Latino/a students shows that they are met with unique experiences and challenges as they pursue higher education. The current study uses qualitative data to investigate what are the unique challenges and needs of displaced students from Puerto Rico? and what role does social capital play in confronting and navigating the challenges and needs associated with their transition to a new institutional setting? This study proposes to research the issues that many displaced Puerto Rican college student's face and add to the growing body of knowledge. It is important to understand how these recently displaced students will be affected by leaving behind, economic capital and cultural capital that they had built up in their communities on the island. Participation in the study included 9 participants from a large southeastern university that provided in-state tuition to displaced students for semi-structured qualitative interviews. Results revealed that family support was the main source of support for many of the students. Mentorship support was key in their educational success because the more support and encouragement from faculty led to a better transition. Support from peers was positively associated with a better transition and feeling of acceptance. Higher campus resources were positively associated with a better transition.
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Date Issued: 2019
Identifier: CFE0007606, ucf:52526
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007606

Title: An Index to Measure Efficiency of Hospital Networks for Mass Casualty Disasters.
Creator: Bull Torres, Maria, Sepulveda, Jose, Sala-Diakanda, Serge, Geiger, Christopher, Kapucu, Naim, University of Central Florida
Abstract / Description: Disaster events have emphasized the importance of healthcare response activities due to the large number of victims. For instance, Hurricane Katrina in New Orleans, in 2005, and the terrorist attacks in New York City and Washington, D.C., on September 11, 2001, left thousands of wounded people. In those disasters, although hospitals had disaster plans established for more than a decade, their plans were not efficient enough to handle the chaos produced by the hurricane and terrorist attacks....
Show moreDisaster events have emphasized the importance of healthcare response activities due to the large number of victims. For instance, Hurricane Katrina in New Orleans, in 2005, and the terrorist attacks in New York City and Washington, D.C., on September 11, 2001, left thousands of wounded people. In those disasters, although hospitals had disaster plans established for more than a decade, their plans were not efficient enough to handle the chaos produced by the hurricane and terrorist attacks. Thus, the Joint Commission on Accreditation of Healthcare Organizations (JCAHO) suggested collaborative planning among hospitals that provide services to a contiguous geographic area during mass casualty disasters. However, the JCAHO does not specify a methodology to determine which hospitals should be included into these cooperative plans. As a result, the problem of selecting the right hospitals to include in exercises and drills at the county level is a common topic in the current preparedness stages. This study proposes an efficiency index to determine the efficient response of cooperative-networks among hospitals before an occurrence of mass casualty disaster. The index built in this research combines operations research techniques, and the prediction of this index used statistical analysis. The consecutive application of three different techniques: network optimization, data envelopment analysis (DEA), and regression analysis allowed to obtain a regression equation to predict efficiency in predefined hospital networks for mass casualty disasters. In order to apply the proposed methodology for creating an efficiency index, we selected the Orlando area, and we defined three disaster sizes. Then, we designed networks considering two perspectives, hub-hospital and hub-disaster networks. In both optimization network models the objective function pursued to: reduce the travel distance and the emergency department (ED) waiting time in hospitals, increase the number of services offered by hospitals in the network, and offer specialized assistance to children. The hospital network optimization generated information for 75 hospital networks in Orlando. The DEA analyzed these 75 hospital networks, or decision making units (DMU's), to estimate their comparative efficiency. Two DEAs were performed in this study. As an output variable for each DMU, the DEA-1 considered the number of survivors allocated in less than a 40 miles range. As the input variables, the DEA-1 included: (i) The number of beds available in the network; (ii) The number of hospitals available in the network; and (iii) The number of services offered by hospitals in the network. This DEA-1 allowed the assignment of an efficiency value to each of the 75 hospital networks. As output variables for each DMU, the DEA-2 considered the number of survivors allocated in less than a 40 miles range and an index for ED waiting time in the network. The input variables included in DEA-2 are (i) The number of beds available in the network; (ii) The number of hospitals available in the network; and (iii) The number of services offered by hospitals in the network. These DEA allowed the assignment of an efficiency value to each of the 75 hospital networks. This efficiency index should allow emergency planners and hospital managers to assess which hospitals should be associated in a cooperative network in order to transfer survivors. Furthermore, JCAHO could use this index to evaluate the cooperating emergency hospitals' plans.However, DEA is a complex methodology that requires significant data gathering and handling. Thus, we studied whether a simpler regression analysis would substantially yield the same results. DEA-1 can be predicted using two regression analyses, which concluded that the average distances between hospitals and the disaster locations, and the size of the disaster explain the efficiency of the hospital network. DEA-2 can be predicted using three regressions, which included size of the disaster, number of hospitals, average distance, and average ED waiting time, as predictors of hospital network efficiency. The models generated for DEA-1 and DEA-2 had a mean absolute percent error (MAPE) around 10%. Thus, the indexes developed through the regression analysis make easier the estimation of the efficiency in predefined hospital networks, generating suitable predictors of the efficiency as determined by the DEA analysis. In conclusion, network optimization, DEA, and regressions analyses can be combined to create an index of efficiency to measure the performance of predefined-hospital networks in a mass casualty disaster, validating the hypothesis of this research.Although the methodology can be applied to any county or city, the regressions proposed for predicting the efficiency of hospital network estimated by DEA can be applied only if the city studied has the same characteristics of the Orlando area. These conditions include the following: (i) networks must have a rate of services lager than 0.76; (ii) the number of survivors must be less than 47% of the bed capacity EDs of the area studied; (iii) all hospitals in the network must have ED and they must be located in less than 48 miles range from the disaster sites, and (iv) EDs should not have more than 60 minutes of waiting time.The proposed methodology, in special the efficiency index, support the operational objectives of the 2012 ESF#8 for Florida State to handle risk and response capabilities conducting and participating in training and exercises to test and improve plans and procedures in the health response.
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Date Issued: 2012
Identifier: CFE0004524, ucf:49290
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004524

Title: From Ashes To Ash(&)#233;: Memorializing Traumatic Events Through Participatory Digital Archives.
Creator: Carlton, Patricia, Kamrath, Mark, Janz, Bruce, Mauer, Barry, Underberg-Goode, Natalie, Bedwell, Jeffrey, University of Central Florida
Abstract / Description: Traumatic, cataclysmic events, whether caused by man-made or natural forces, threaten the safety, stability, and resilience of a community or state. Additionally, massive media exposure given to documenting and providing information, place the media consumers at psychological risk. As an alternative to broadcast news reports, online memorials and disaster archives provide the public the means and central locations for witnessing catastrophic events, as well as collectively commemorating and...
Show moreTraumatic, cataclysmic events, whether caused by man-made or natural forces, threaten the safety, stability, and resilience of a community or state. Additionally, massive media exposure given to documenting and providing information, place the media consumers at psychological risk. As an alternative to broadcast news reports, online memorials and disaster archives provide the public the means and central locations for witnessing catastrophic events, as well as collectively commemorating and mourning the tragic losses. According to psychological and ethnographic research, narrativizing the trauma through shared memories and artifacts of mourning produce multiple therapeutic benefits, including the likely development of cognitive awareness, empathy, and catharsis.Complicating these benefits, however, are psychological risks of secondary trauma resulting from archiving and curating disaster collections, and the potential for economic and political exploitation. The participatory disaster archives are embedded in trauma culture, serving as public witnesses to survivors of trauma and reinforcing the medical, social, and civic infrastructures associated with a community's recovery from and resilience to calamities. Ironically, the confluence of public archive/memorials with medical and other socio-technical institutions that facilitate recovery from crises, also contribute to trauma culture's sustenance. This dissertation investigates the effects of digitally archiving and memorializing traumatic events through an interdisciplinary methodology of critical cultural studies and ethnography. I argue that participatory disaster archives may both mitigate psychological risks and augment social benefits through adopting protocols of best practice.
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Date Issued: 2016
Identifier: CFE0006277, ucf:51599
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006277

Title: Influence of Personal and State Level Variables on Perception of State Emergency Management Network Resilience In 47 States.
Creator: Jennison, Victoria, Wan, Thomas, Zhang, Ning, Ramirez, Bernardo, Kapucu, Naim, University of Central Florida
Abstract / Description: Emergency management coordination in the United States has fallen victim to over a century of strategies to organize, reorganize, consolidate, or decentralize disaster preparedness, planning and response. Regardless of the agency in charge at the federal level, individual citizens have been responsible for their own well-being immediately after any disaster or emergency event for more than 100 years because it takes time to mobilize and deliver aid. The system most often charged with managing...
Show moreEmergency management coordination in the United States has fallen victim to over a century of strategies to organize, reorganize, consolidate, or decentralize disaster preparedness, planning and response. Regardless of the agency in charge at the federal level, individual citizens have been responsible for their own well-being immediately after any disaster or emergency event for more than 100 years because it takes time to mobilize and deliver aid. The system most often charged with managing that mobilization during an emergency event that exceeds the response capacity of local public safety agencies is the state emergency management network. Many entities in a state emergency management network have different responsibilities during disaster states vs. non-disaster states. Regardless of their role and function, entities need to be able to exchange resources and information with each other, often under time, economic, or other constraints during disasters. This resource exchange generates trust, an essential element of a resilient network. Resilient networks suffer fewer negative impacts from disaster related loss and are more likely to retain collective capacity to respond and help communities recover.The purpose of this study is to explore the ability of individual and state level attributes to explain variability in perception of network resilience. One-hundred fifty one state emergency management agency employees were surveyed regarding their perception of 5 constructs of network resilience (rapidity, redundancy, relationships, resourcefulness, and robustness) and individual level attributes. State level indicators from FEMA, NEMA, American Human Development Index, and Social Vulnerability Index were also analyzed. Overall, it was found that the individual attribute of perception of network integrity had the most influence on perception of network resilience, followed by perception of community resilience and state level attributes including disaster experience, state well-being, and number of full time state emergency management agency employees. These findings can improve network resilience by informing state emergency management network development activity. Networks that increase member opportunities to develop relationships of resource and information exchange will increase their resilience. That increased network resilience impacts community resilience because, as Winston Churchill's wise words during World War II reconstruction advise, (")We shape our communities and then they shape us(").?
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Date Issued: 2015
Identifier: CFE0005812, ucf:50040
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005812

Title: A Human-Centric Approach to Data Fusion in Post-Disaster Managment: The Development of a Fuzzy Set Theory Based Model.
Creator: Banisakher, Mubarak, McCauley, Pamular, Geiger, Christopher, Lee, Gene, Shi, Fuqian, Zou, Changchun, University of Central Florida
Abstract / Description: It is critical to provide an efficient and accurate information system in the post-disaster phase for individuals' in order to access and obtain the necessary resources in a timely manner; but current map based post-disaster management systems provide all emergency resource lists without filtering them which usually leads to high levels of energy consumed in calculation. Also an effective post-disaster management system (PDMS) will result in distribution of all emergency resources such as,...
Show moreIt is critical to provide an efficient and accurate information system in the post-disaster phase for individuals' in order to access and obtain the necessary resources in a timely manner; but current map based post-disaster management systems provide all emergency resource lists without filtering them which usually leads to high levels of energy consumed in calculation. Also an effective post-disaster management system (PDMS) will result in distribution of all emergency resources such as, hospital, storage and transportation much more reasonably and be more beneficial to the individuals in the post disaster period. In this Dissertation, firstly, semi-supervised learning (SSL) based graph systems was constructed for PDMS. A Graph-based PDMS' resource map was converted to a directed graph that presented by adjacent matrix and then the decision information will be conducted from the PDMS by two ways, one is clustering operation, and another is graph-based semi-supervised optimization process. In this study, PDMS was applied for emergency resource distribution in post-disaster (responses phase), a path optimization algorithm based ant colony optimization (ACO) was used for minimizing the cost in post-disaster, simulation results show the effectiveness of the proposed methodology. This analysis was done by comparing it with clustering based algorithms under improvement ACO of tour improvement algorithm (TIA) and Min-Max Ant System (MMAS) and the results also show that the SSL based graph will be more effective for calculating the optimization path in PDMS. This research improved the map by combining the disaster map with the initial GIS based map which located the target area considering the influence of disaster. First, all initial map and disaster map will be under Gaussian transformation while we acquired the histogram of all map pictures. And then all pictures will be under discrete wavelet transform (DWT), a Gaussian fusion algorithm was applied in the DWT pictures. Second, inverse DWT (iDWT) was applied to generate a new map for a post-disaster management system. Finally, simulation works were proposed and the results showed the effectiveness of the proposed method by comparing it to other fusion algorithms, such as mean-mean fusion and max-UD fusion through the evaluation indices including entropy, spatial frequency (SF) and image quality index (IQI). Fuzzy set model were proposed to improve the presentation capacity of nodes in this GIS based PDMS.
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Date Issued: 2014
Identifier: CFE0005128, ucf:50702
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005128

Title: Understanding Crisis Communication and Mobility Resilience during Disasters from Social Media.
Creator: Roy, Kamol, Hasan, Samiul, Eluru, Naveen, Wu, Yina, University of Central Florida
Abstract / Description: Rapid communication during extreme events is one of the critical aspects of successful disaster management strategies. Due to their ubiquitous nature, social media platforms offer a unique opportunity for crisis communication. Moreover, social media usage on GPS enabled devices such as smartphones allow us to collect human movement data which can help understanding mobility during a disaster. This study leverages social media (Twitter) data to understand the effectiveness of social media...
Show moreRapid communication during extreme events is one of the critical aspects of successful disaster management strategies. Due to their ubiquitous nature, social media platforms offer a unique opportunity for crisis communication. Moreover, social media usage on GPS enabled devices such as smartphones allow us to collect human movement data which can help understanding mobility during a disaster. This study leverages social media (Twitter) data to understand the effectiveness of social media-based communication and the resilience of human mobility during a disaster. This thesis has two major contributions. First, about 52.5 million tweets related to hurricane Sandy are analyzed to assess the effectiveness of social media communication during disasters and identify the contributing factors leading to effective crisis communication strategies. Effectiveness of a social media user is defined as the ratio of attention gained over the number of tweets posted. A model is developed to explain more effective users based on several relevant features. Results indicate that during a disaster event, only few social media users become highly effective in gaining attention. In addition, effectiveness does not depend on the frequency of tweeting activity only; instead it depends on the number of followers and friends, user category, bot score (controlled by a human or a machine), and activity patterns (predictability of activity frequency). Second, to quantify the impacts of an extreme event to human movements, we introduce the concept of mobility resilience which is defined as the ability of a mobility infrastructure system to manage shocks and return to a steady state in response to an extreme event. We present a method to detect extreme events from geo-located movement data and to measure mobility resilience and loss of resilience due to those events. Applying this method, we measure resilience metrics from geo-located social media data for multiple types of disasters occurred all over the world. Quantifying mobility resilience may help us to assess the higher-order socio-economic impacts of extreme events and guide policies towards developing resilient infrastructures as well as a nation's overall disaster resilience.
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Date Issued: 2018
Identifier: CFE0007362, ucf:52090
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007362

Title: Tails in the Wind: An Exploratory Examination of Media Reports on Nonhuman Animals Throughout Hurricane Maria in Puerto Rico.
Creator: Jagoda, Nathan, Huff-Corzine, Lin, Rivera, Fernando, Grauerholz, Liz, University of Central Florida
Abstract / Description: On September 20th, 2017, category four Hurricane Maria rattled Puerto Rico, causing extensive damage throughout the island. While the experiences, injuries, and deaths of humans resulting from Hurricane Maria have received both scholarly consideration and large amounts of attention from media sources, one critical area that has been overlooked by many, particularly academics, are the ways in which various media sources have reported on, described and discussed nonhuman animals impacted by the...
Show moreOn September 20th, 2017, category four Hurricane Maria rattled Puerto Rico, causing extensive damage throughout the island. While the experiences, injuries, and deaths of humans resulting from Hurricane Maria have received both scholarly consideration and large amounts of attention from media sources, one critical area that has been overlooked by many, particularly academics, are the ways in which various media sources have reported on, described and discussed nonhuman animals impacted by the storm. This study aimed to address this gap by analyzing media reports of nonhuman animals throughout the days before, during, and after Hurricane Maria in Puerto Rico. Mixed method content analysis was conducted on fifty-five media reports found to contain discussion of nonhuman animals and Hurricane Maria in Puerto Rico, though a majority of the analyses were qualitative in nature. Analyses resulted in the identification of a variety of themes found to be emergent from the data.Themes explored include nonhuman animal abandonment, insufficient shelters, damaged shelters and lack of resources, collaboration between nonhuman animal welfare organizations, spay/neuter practices, positive descriptions of satos, bringing nonhuman animals to the U.S. mainland, a second chance at life for nonhuman animals, and the hierarchical arrangement of nonhuman animals presented within media reports. Results of the study point towards the need for greater planning and resource allocation in regard to nonhuman animals in Puerto Rico both during times of disaster and everyday life. The spay and neuter infrastructure and the animal shelters on the island are especially in need of resources. Additionally, the results indicate that the media sources examined placed their main focus on dogs and cats impacted by the storm, suggesting that these species of nonhuman animals hold a spot towards the top of the American nonhuman animal hierarchical arrangement.
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Date Issued: 2019
Identifier: CFE0007822, ucf:52808
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007822

Title: FACTORS INFLUENCING EFFECTIVENESS OF INTERORGANIZATIONAL NETWORKS AMONG CRISIS MANAGEMENT ORGANIZATIONS: A COMPARATIVE PERSPECTIVE.
Creator: Sahin, Bahadir, Wan, Thomas, University of Central Florida
Abstract / Description: Crisis management has become one of the most important public policy areas in recent decades with greater numbers of manmade and natural disasters. History showed that well-implemented crisis management policies can save lives and reduce costs in a disaster. Literature offered various suggestions for more effective crisis management policies with different techniques utilizing different theoretical frameworks. Informal relationships among crisis management employees were suggested to have a...
Show moreCrisis management has become one of the most important public policy areas in recent decades with greater numbers of manmade and natural disasters. History showed that well-implemented crisis management policies can save lives and reduce costs in a disaster. Literature offered various suggestions for more effective crisis management policies with different techniques utilizing different theoretical frameworks. Informal relationships among crisis management employees were suggested to have a positive impact on crisis management effectiveness. Yet it was not demonstrated with advanced statistical tools if there is such a relationship. This study considers crisis management effort as a network effort and employs complex adaptive systems theory in order to understand factors influencing effectiveness of crisis management networks. Complex adaptive systems theory presents that more open communication lines in a given network or an organization would increase effectiveness of it since inner processes of the network or organization would obtain more information from the chaotic environment. Quality of informal relationships (casual relationships, social capital etc.) was hypothesized as a tool to open more communication lines within an agency which would eventually increase effectiveness of the network constructed by the organization. Based on the theoretical framework, adaptiveness capacity of the agencies was also tested in order to understand a correlation between adaptation and effectiveness of crisis management networks. Multiple case-study method was employed to identify incidents that can represent crisis management in full perspective. Terrorist attacks carried upon by the same terrorist network hit New York in 2001, Istanbul in 2003, Madrid in 2004, and London in 2005 were selected. First response phase of crisis management and policy changes after and before the attacks were discussed. Public administration processes and other social-economical conditions of countries were examined in terms of crisis management structure. Names of key agencies of selected crisis management systems were suggested by a social network analysis tool-UCINET. Six key agencies per incident were targeted for surveys. Surveys included a nine-item-quality of informal relationships, four-item-adaptiveness capability, and ten-item-perceived effectiveness of crisis management networks-scales. Respondents were asked to fill in online surveys where they could refer to their colleagues in the same incidents. 230 respondents were aimed and 246 survey responses were obtained as a result. Surveys formed a structural equation model representing 23 observed factors and 2 latent constructs. Confirmatory factor analysis was utilized to validate hypothesis-driven conceptual models. Quality of informal relationships was found to have a significant positive impact on perceived crisis management network effectiveness (Standardized regression coefficient = .39). Two of the adaptiveness variables, openness to change and intra-organizational training were also positively correlated with the dependent variable of the study (Standardized regression coefficient = .40 and .26 respectively). Turkish and American groups' differences suggested a social-economical difference in societies. Majority of the respondents were some type of managers which made it possible to generalize the results for all phases of crisis management. Discussions suggested improved informal relationships among crisis management employees to provide a better crisis management during an extreme event. Collaborative social events were offered to improve crisis management effectiveness. An agency's openness to change proposed that a crisis management organization should be flexible in rules and structureto gain more efficacy. The other adaptiveness variable, intra-organizational training efforts were proposed to have certain influence on effectiveness of crisis management network. Factors built latent construct of perceived crisis management effectiveness were also found out to be important on crisis management, which of some are ability to carry out generic crisis management functions, mobilize personnel and resources efficiently, process information adequately, blend emergent and established entities, provide appropriate reports for news media etc. Study contributed to the complex adaptive system theory since the fundamentals of the theory were tested with an advanced quantitative method. Non-linear relationships within a system were tested in order to reveal a correlation as the theory suggested, where the results were convincingly positive. Crisis management networks' effectiveness was demonstrated to be validated by a ten-item-scale successfully. Future research might utilize more disaster cases both natural and manmade, search for impact of different communication tools within a system, and look at the relationships among members of crisis management networks instead looking within an organization.
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Date Issued: 2009
Identifier: CFE0002709, ucf:48173
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002709

Title: The AfterMath: A Culturally Responsive Mathematical Intervention to Aid Students Affected by Natural Disasters.
Creator: Kurtz, Brianna, Haciomeroglu, Erhan, Bush, Sarah, Safi, Farshid, Biraimah, Karen, University of Central Florida
Abstract / Description: On September 20, 2017, Hurricane Maria struck the island of Puerto Rico. The damage was extensive, and many people found themselves to be natural disaster refugees. As a result, schools in Central Florida saw an influx of new students who had their educations interrupted by the disaster and now were resuming school in a new language of instruction. These students not only faced linguistic challenges but also academic differences due to the high prevalence of poverty and the effects of...
Show moreOn September 20, 2017, Hurricane Maria struck the island of Puerto Rico. The damage was extensive, and many people found themselves to be natural disaster refugees. As a result, schools in Central Florida saw an influx of new students who had their educations interrupted by the disaster and now were resuming school in a new language of instruction. These students not only faced linguistic challenges but also academic differences due to the high prevalence of poverty and the effects of neocolonialism in their previous schooling. This mixed methods study implemented an intensive intervention in probability to aid students in developing mathematical understanding and forming meaningful connections. Student participants, who had been affected by Hurricane Maria, were now attending a public high school and were paired one-on-one with a bilingual, mathematically high performing student mentor to complete culturally responsive, bilingual probability tasks. Data collection occurred over the course of six weeks in fall 2019. Both mentor and mentee students participated in focus group interviews, and the mentees completed a probability pre-test and post-test. Student participants were found to have statistically significant increases in the understanding of probability concepts when comparing pre-intervention and post-intervention results, with the understanding and usage of the multiplication rule showing the most significant improvement. Both mentors and mentees reported feeling a stronger sense of unity and belonging post-intervention as well as improvement in bilingual academic vocabulary. With the impact of natural disasters on the rise, implications of this study include its adaption to respond to future displaced students as they resume schooling post-interruption in Central Florida and beyond.
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Date Issued: 2019
Identifier: CFE0007828, ucf:52820
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007828

Title: Dimensions of State Fragility: Determinants of Violent Group Grievance, Political Legitimacy, (&) Economic Capacity.
Creator: Christensen, Jason, Kinsey, Barbara, Mousseau, Demet, Hamann, Kerstin, Kircher, Amy, University of Central Florida
Abstract / Description: State fragility has severe political implications. In the literature, fragile states have been referred to as (")chaotic breeding grounds(") for human rights violations, terrorism, violent extremism, crime, instability, and disease (Patrick 2011, 3-4). International organizations have also expressed concern regarding the potential of (")fragile states(") to disrupt collective security as threats such as transnational terrorism and human displacement from violent conflict have the potential to...
Show moreState fragility has severe political implications. In the literature, fragile states have been referred to as (")chaotic breeding grounds(") for human rights violations, terrorism, violent extremism, crime, instability, and disease (Patrick 2011, 3-4). International organizations have also expressed concern regarding the potential of (")fragile states(") to disrupt collective security as threats such as transnational terrorism and human displacement from violent conflict have the potential to permeate borders (Patrick 2011, 5). This research project aims at extending our understanding of state fragility by examining three distinct dimensions of state fragility proposed in the literature: i) state authority, ii) state legitimacy, and iii) state capacity. I narrow the scope of these dimensions by focusing on 1) violent group grievance, 2) political legitimacy, and 3) state economic capacity, respectively. The first dimension, state authority, is related to a government's control of unlawful intrastate violence. The second dimension, legitimacy, is linked to the public acceptance of the right of an authority to govern law through its practice and influence (Weber 1958, 32-36; Gilley 2006, 48; Connolly 1984, 34). The third dimension, capacity, represents a state-society relationship characterized mainly by the state's ability to provide public goods and protection of citizens and residents from (")harm(") such as natural disasters and economic downfalls (Gr(&)#228;vingholt, Ziaja, and Kreibaum 2012, 7). This dissertation examines each of these dimensions using quantitative analyses based on large-N datasets and cross-sectional longitudinal models to fill gaps in the literature on state fragility. In particular, I hypothesize 1) number of refugees increases the level of intrastate violent group grievance (state authority), 2) state human rights violations decreases popular support and thus public perceptions of state legitimacy, and 3) population constraints, such as food insecurity and disease increase economic decline and thus compromise the state's economic capacity. Internal violence, loss of legitimacy, and a weakened economy may increase levels of state fragility. Each of these three studies controls for alternative explanations and covers the time period between 2006 and 2014. The analysis results confirm the main hypotheses of this study and are expected to offer a more concise conceptual framework of state fragility, and better empirical understanding of potential contributors to state fragility.
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Date Issued: 2017
Identifier: CFE0006728, ucf:51876
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006728

Emergency Management (2)	+ -
Hurricane Maria (2)	+ -
Natural Disasters (2)	+ -
Puerto Rico (2)	+ -
disaster resilience (2)	+ -

natural disaster (2)	+ -
Animals and Society (1)	+ -
Authority (1)	+ -
Capacity (1)	+ -
Central Florida (1)	+ -
Collaborative Disaster Management (1)	+ -
Complex Adaptive Systems (1)	+ -
Content Analysis (1)	+ -
Crisis Management (1)	+ -
Crisis Management Network (1)	+ -
DATA FUSION (1)	+ -
DISASTER MANAGEMENT (1)	+ -
Disaster Archaeology (1)	+ -
Disaster Management (1)	+ -
Disaster Networks (1)	+ -
Disaster Response (1)	+ -
Disease (1)	+ -
EVOS (1)	+ -
Economic Decline (1)	+ -
Efficiency (1)	+ -
Environmental Archaeology (1)	+ -
Environmental Sociology (1)	+ -
Ethnic Violence (1)	+ -
FUZZY MODEL (1)	+ -
Food Insecurity (1)	+ -

University of Central Florida (16)	+ -
Kapucu, Naim (5)	+ -
Rivera, Fernando (5)	+ -
Wan, Thomas (4)	+ -
Geiger, Christopher (2)	+ -

Knox, Claire (2)	+ -
Alpanda, Sami (1)	+ -
Ash, Konstantin (1)	+ -
Banisakher, Mubarak (1)	+ -
Barber, Sarah (1)	+ -
Bedwell, Jeffrey (1)	+ -
Biraimah, Karen (1)	+ -
Bull Torres, Maria (1)	+ -
Bush, Sarah (1)	+ -
Cabrera, Esmeralda (1)	+ -
Carlton, Patricia (1)	+ -
Christensen, Jason (1)	+ -
Demiroz, Fatih (1)	+ -
Donley, Amy (1)	+ -
Donoghue, Joseph (1)	+ -
Eluru, Naveen (1)	+ -
Gentry, Brian (1)	+ -
Grauerholz, Liz (1)	+ -
Haciomeroglu, Erhan (1)	+ -
Hamann, Kerstin (1)	+ -
Hasan, Samiul (1)	+ -
Hawkins, Christopher (1)	+ -
Hinojosa, Melanie (1)	+ -
Huff-Corzine, Lin (1)	+ -
Jagoda, Nathan (1)	+ -

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