Dissertations / Theses on the topic 'Hurricane Sandy'

Within risk communication, much is understood about pre-event warning related to evacuation and sheltering; however risk communication during the return-entry phase when ending evacuations has been largely under-studied in the disaster literature. Understanding of the return-entry risk communication process is important because returning early or prior to issuance of the all-clear message can make returnees susceptible to post-disaster risks, and also hamper post-disaster activities such as debris removal, traffic management, utility restoration and damage assessments. Guided by the Warning Components Framework and the Theory of Motivated Information Management, this dissertation focuses on risk communication as it pertains to organizational behavior during the return-entry process by examining how local emergency management organizations develop, disseminate and monitor return-entry messages. The data is collected through semi-structured telephone interviews with local emergency management organizations that managed return-entry following Hurricane Sandy. The findings of the study indicate that local emergency management organizations required information on post-disaster threats, damages, and utility and infrastructure condition in order to develop return-entry strategy for their community. Organizations improvised to their existing risk communication measures by adopting creative ways for information dissemination to the evacuees. They also utilized active and passive approach to monitor public response to the return-entry messages.

Hurricane Sandy hit New York City on October 29, 2012 and greatly disrupted transportation systems, power systems, work, and schools. This research used survey data from 397 respondents in the NYC Metropolitan Area to develop an agent-based model for capturing commuter behavior and adaptation after the disruption. Six different recovery scenarios were tested to find which systems are more critical to recover first to promote a faster return to productivity. Important factors in the restoration timelines depends on the normal commuting pattern of people in that area. In the NYC Metropolitan Area, transit is one of the common modes of transportation; therefore, it was found that the subway/rail system recovery is the top factor in returning to productivity. When the subway/rail system recovers earlier (with the associated power), more people are able to travel to work and be productive. The second important factor is school and daycare closure (with the associated power and water systems). Parents cannot travel unless they can find a caregiver for their children, even if the transportation system is functional. Therefore, policy makers should consider daycare and school condition as one of the important factors in recovery planning. The next most effective scenario is power restoration. Telework is a good substitute for the physical movement of people to work. By teleworking, people are productive while they skip using the disrupted transportation system. To telework, people need power and communication systems. Therefore, accelerating power restoration and encouraging companies to let their employees' telework can promote a faster return to productivity. Finally, the restoration of major crossings like bridges and tunnels is effective in the recovery process.<br>Master of Science

Hurricane Sandy made landfall in Brigantine, New Jersey on October 29th, 2012. The storm impacted the coastal regions of New Jersey and New York, especially the heavily populated area of New York City. This research, which analyzes secondary data obtained from a telephone survey, investigates the public response of residents before, during and after Hurricane Sandy. The survey consisted of questions regarding what the residents expected concerning the threat of Hurricane Sandy, whether it matched what they experienced, where they got their information and how they made their decision to evacuate or not. The results from the survey were statistically analyzed in order to answer important research questions about public perception of Sandy's impacts. A Vulnerability Assessment of New York City, where some of Sandy's impacts were felt the most, was completed in order to understand why this area was so vulnerable. The concern level of various hurricane related hazards was analyzed and correlated to demographic variables to determine a relationship among the variables. A qualitative analysis was performed on the survey questions "Why did you evacuate?" and "Why did you not evacuate?" in order to determine themes in relation to people's reasons for evacuating or not evacuating. Finally, differences in how the public perceived Hurricane Sandy before and after the storm were analyzed and may be used for improving communication of the forecast to the public. Interdisciplinary research in this area is needed in order to better understand the public's need for appropriate warnings to ensure safety. Results show that residents were most concerned about wind damage and that they mainly used their television to obtain their information about the storm. Also, the most common reasons respondents reported for evacuating were because of the threat of possible impacts (storm surge, flooding, wind, rain and waves), the forecast called for bad conditions, or being told, recommended or convinced to leave. The main reasons reported by respondents for not evacuating are thinking that the impacts would not be bad in their area, feeling prepared or safe and thinking they could handle the impacts. This research can be used in the future for improving hurricane warning communication to the public.

The wide-scale deployment of networked communication and sensing devices, e.g. phones and tablets, provides a previously unimaginable amount of information about people's environment and movements. These devices often have access to high accuracy localization technology, such as GPS and Wi-Fi/cell tower localization. Users of these devices also frequently participate in global social networks, for instance Twitter, Facebook and Google+. The information obtained from social media in a catastrophic event is unique and cannot be found anywhere else in the information space, they may even have the geographical knowledge of the influenced areas, which can be high importance for those outside of the area. This role is highlighted in the occurrence of hurricane sandy on 2012. Geo- tagged social media messages expose user’s locations and subsequent movements, providing near-instantaneous data about how people are responding to a disaster event. The need for up-to- date information is paramount for the authorities so they can organize the most efficacious response. They need to know what issues are affecting people on the ground, where people are located and whether they can/will evacuate. This project will analyze gigabytes of data collected during the Sandy Hurricane of 2012 on the American East Coast. Millions of geo-tagged tweets from hundreds of thousands of users were collected and offer a unique insight into how Twitter activity increased during the hurricane in the area of the event and the movement pattern of the people changed during the hurricane. These reactions and movements of people during the Hurricane Sandy help the process of evaluation so responders can have a more robust situational awareness of the disaster.

Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 68-74).<br>Land buyout programs may be used to significantly improve climate resilience by creating a protective ecological buffer area to protect land at high risk of flooding. This thesis assesses the success of the New York State land buyout on the East Shore of Staten Island in achieving this resilient outcome. The New York State buyout program was created after Hurricane Sandy in October 2012 in response to pressure from landowners who had been flooded in the storm. New York City declined to participate in a buyout in response to Sandy but offered to acquire storm-damaged homes in other areas where the New York State buyout was not offered. Through the New York City program, acquired properties would be resold to private entities at auction. In contrast, the New York State program, which purchased 37 acres of land within the 100-year floodplain, was legally bound to hold the properties bought through their program as open space in perpetuity. The state was able to promise former residents that their land would become a buffer for inland areas, increasing resilience along this vulnerable coastline. I analyze the success of the state program in achieving this goal by assessing participation and attrition rates within designated buyout areas, as well as reasons for attrition. I find that the lack of coordinated goals and agreed-upon tools prevented New York Rising from successfully achieving the highest measure of resilience: creating a coastal buffer area to protect residents from sea level rise and future flooding.<br>by Sonja K. Boet-Whitaker.<br>M.C.P.

Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 75-82).<br>State run home buyout programs are becoming increasingly popular as a means to mitigate flood damage to homes within floodplains. However, there are many local benefits associated with buyout programs, including the removal of services from the neighborhood, increased flood protection for adjacent neighborhoods, and increased green space for conservation and recreation purposes. With limited federal funding for these programs, policy designers make an effort to maximize these benefits. This thesis uses structured interviews, descriptive statistics, and mapping, to compare New Jersey's Blue Acres buyout program and the New York Rising Buyout and Acquisition Program. First, it compares the programs through the lens of 8 key policy decisions including parent institution, funding sources, municipal relationship, site selection, outreach, the offer, continued land management and future plans. Then, it uses a common framework to compare 3 coastal municipalities that utilized buyout programs, including Woodbridge, NJ, Lindenhurst, NY, and Mastic Beach, NY. I found that the ability to achieve local planning goals was influenced primary by the program's community outreach approach, site selection process, and its relationship with the municipality. As states design the next generation of buyout programs to deal with the increased flood risks associated with climate change, this paper will help guide buyout policy to achieve better outcomes.<br>by Dennis C. Harvey.<br>M.C.P.

Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 75-82).<br>State run home buyout programs are becoming increasingly popular as a means to mitigate flood damage to homes within floodplains. However, there are many local benefits associated with buyout programs, including the removal of services from the neighborhood, increased flood protection for adjacent neighborhoods, and increased green space for conservation and recreation purposes. With limited federal funding for these programs, policy designers make an effort to maximize these benefits. This thesis uses structured interviews, descriptive statistics, and mapping, to compare New Jersey's Blue Acres buyout program and the New York Rising Buyout and Acquisition Program. First, it compares the programs through the lens of 8 key policy decisions including parent institution, funding sources, municipal relationship, site selection, outreach, the offer, continued land management and future plans. Then, it uses a common framework to compare 3 coastal municipalities that utilized buyout programs, including Woodbridge, NJ, Lindenhurst, NY, and Mastic Beach, NY. I found that the ability to achieve local planning goals was influenced primary by the program's community outreach approach, site selection process, and its relationship with the municipality. As states design the next generation of buyout programs to deal with the increased flood risks associated with climate change, this paper will help guide buyout policy to achieve better outcomes.<br>by Amelia Harvey.<br>M.C.P.

Hurricane Sandy struck the New York City-New Jersey region on October 29, 2012, with severe consequences to the transportation network, including both the road network and the transit system. This study used survey data from nearly 400 commuters in the New York City Metropolitan Area to determine the transportation disruptions and socio-demographic characteristics associated with travel changes and their duration for the home-to-work commute after Hurricane Sandy. Multi-variable binary logit modeling was used to examine mode shifting, cancelling the trip to work, route changing, and modifying departure time. Transit commuters were more likely to change modes, cancel the trip, and depart earlier. Women were less likely to change modes or depart later. Carpool restrictions encouraged mode changing and earlier departures. Delays/crowding increased the probability of route changes, canceled trips, and earlier departures. Durations of commute travel changes were modeled with accelerated failure time approaches (Weibull distribution). New Jersey Transit disruptions prolonged the time to return to the normal working schedule, telecommuting time, and the time of commuting patterns alterations. Gasoline purchase restrictions extended commuting delays and the duration of alteration of normal commute patterns but decreased the duration of the change of working schedule and location. The mode used under normal commute conditions did not have an impact on the duration of the changes, even though it has a significant impact on the selected changes. The results underline the need for policy makers to account for mode-specific populations and lower income commuters during post-disaster recovery periods.<br>Master of Science

This study examined how comprehensively the Bolin and Trainer (1978) model of recovery reflects the recovery process of individuals and households. A review of the literature since 1978 suggested that various revisions and additions were warranted, but additional research was needed to examine these elements collectively. Rubin and Rubin?s (2012) Responsive Interviewing Model was employed to collect and analyze data related to the recovery process of individuals impacted by Hurricane/Superstorm Sandy to determine whether an updated model was appropriate. Interviews with twenty-one respondents representing non-governmental organizations involved in Sandy-related recovery efforts revealed the need for a revised model reflecting key aspects of the original model, revisions suggested by the literature, and a new addition based on the data collected through this study. A Revised Bolin and Trainer Model of Individual and Household Recovery was suggested and implications for the discipline and practice of emergency management discussed.

<p> The goal of this qualitative single-case study was to investigate the problem with more than 50% of Americans admitting they are not prepared for natural disasters before they occur. The sample for this study was 24 purposively selected Hurricane Sandy survivors in New York and New Jersey who were 25 years of age or older. Data was collected through ten open-ended interview questions presented during telephone interviews. This study was guided by the theoretical framework of normative risk management decision making. Thematic analysis was used to code and analyze the data collected. This study was focused on answering two broad research questions related to why more than 50% of Americans are not prepared for natural disasters before they occur and the factors that prevent them from preparing. The major recommendations for future research and practice were related to the lack of a distinction between individuals who perceive they are prepared (who are deemed unprepared according to regulatory guidelines) and the possibility they are included with the more than 50% of Americans who are not prepared although they require modification of preparedness behavior while individuals who are not prepared require adoption of preparedness behavior. The other recommendations describe the factors that prevent individuals from preparing as lack of notification and signaling communications that indicate a natural disaster is imminent and expected to be severe; and individual disbelief in the validity of the communications. This study contributes to filling the gap in the literature related to the lived experience with natural disasters. </p>

People with disabilities are likely to experience difficulties overcoming the impact of natural disasters. Few scholars have focused on this population's ability to recover and handle stress following a natural disaster. The purpose of this phenomenological study was to explore and describe coping strategies and resilience factors that people with physical or mental disabilities used in the aftermath of Hurricane Sandy. Resilience theory was used as the theoretical framework. Through face-to-face interviews, 10 persons with disabilities shared their experiences of coping and resilience. A lens of interpretative phenomenological analysis was used to identify emergent themes related to persons with disabilities' experiences of overcoming challenges and sustaining wellbeing in the aftermath of this natural disaster. According to study results, religion, recreation, and relaxation techniques were the main coping strategies used, and self-determination and independent skills were resilience factors that helped persons with disabilities remain positive and overcome challenges following the hurricane. Participants reported experiencing emotional reactions and identified the dislocation as the greatest stressor. The findings of this study have the potential to effect positive social change by informing stakeholders such as policymakers, community, and state agencies, and related professionals to help them recognize and address the health and psychological needs of persons with disabilities following a hurricane. Knowing which coping strategies and resilience factors persons with disabilities use to create awareness of the positive ways in which persons with disabilities manage the aftermath of this natural disaster.

HIV screening is recommended to destigmatize the condition, prevent partner transmission, and postpone AIDS progression. However, determinants associated with implementation of opt-out HIV screening are not well understood. The purpose of the study was to examine determinants that predicted odds of HIV screening for persons impacted by Hurricane Sandy, and how these factors differed according to demographic characteristics, geographical attributes, health-related quality of life score, access-to-care, and health insurance status. The social ecologic model provided the framework for this multilevel cross-sectional study that included New Jersey data from the Behavior Risk Factor Surveillance System. Bivariate chi-square, simple logistic regression, and adjusted multivariate and weighted logistic regression analyses were performed to estimate HIV screening odds. Findings indicated a significant odds ratio with access to care post- Hurricane Sandy and HIV screening (odds ratio = 1.74, 95% CI = 1.38-2.21). The positive social change implications may include assisting people to develop realistic plans for HIV screening, improving understanding of HIV screening determinants, and raising awareness of the risk factors related with access to medical care post-Hurricane Sandy.

An estimated 10% of the world's population lives in low-lying coastal regions, which are vulnerable to storm surge and waves capable of causing loss of lives and billions of dollars in damage to coastal infrastructure. Among the most vulnerable coastlines are barrier islands, which often act as the first line of defense against storms for the mainland coast. In this dissertation, the physical damage to a developed barrier island (Bay Head, NJ, USA) caused by erosion during Hurricane Sandy (2012) is evaluated using the numerical model, XBeach. Three main objectives of this work are to evaluate the wave-force reducing capabilities of a buried seawall, the effects of bay surge on morphological change and the effectiveness of adaptation strategies to rising sea levels. According to simulation results, a buried seawall located beneath the nourished dunes in Bay Head reduced wave attack by a factor of 1.7 compared to locations without a seawall. The structure also prevented major erosion by blocking bay surge from inundating dunes from the backside, as observed in locations not fronted with a seawall. Altering the timing and magnitude of bay storm surge, the buried seawall continued to protect the island from catastrophic erosion under all conditions except for a substantial increase in bay surge. However, in the absence of a seawall, the morpho- logical response was highly dependent on bay surge levels with respect to ocean side surge. Compared to the damage sustained by the island during Hurricane Sandy, greater erosion was observed on the island for an increase in bay surge magnitude or when peak bay surge occurred after peak ocean surge. Considering sea level rise, which affects bay and ocean surge levels, adaptation strategies were evaluated on the protection afforded to the dune system and backbarrier. Of the sea level rise scenarios and adaptation strategies considered, raising the dune and beach protected the island under moderate rises in sea level, but exacerbated backbarrier erosion for the most extreme scenario. Although an extreme strategy, raising the island is the only option considered that protected the island from catastrophic erosion under low, moderate and extreme sea level rise.<br>Ph. D.

Geology<br>M.S.<br>The impact of Hurricane Sandy (October 2012) on the Atlantic Coast of the United States resulted in massive overtopping (aggradation) of coastal barriers, along with localized overwash and breaching. A combination of high-frequency ground-penetrating radar (800 MHz GPR), low-field magnetic susceptibility (MS), and textural and mineralogical analyses was used to reconstruct the sedimentological and hydrodynamic parameters of the storm surge at two New Jersey sites immediately north of hurricane landfall: 1) Mantoloking and 2) Island Beach State Park (IBSP). Mantoloking represents a developed, scour-channelized backdune area with a 30-60 cm thick deposit consisting of 20-23 event horizons. Geophysical images reveal gently landward-dipping reflections. In contrast, IBSP site is a broad (width: 40 m) vegetated dune swale. GPR transects show landward-dipping tangential-oblique reflections as well as a conformable channel cut-and-fill structure (width: 7 m; depth: 1.5 m), producing a 0.7-1.5-m-thick deposit with 24-30 horizons. Within each sand-dominated event horizon, an upward 5-15% increase in mean grain size and 80-100% decrease in MS highlight the importance of hydrodynamic equivalency in lithological segregation within mixed-density fractions. Basal sub-layers enriched in heavy minerals (magnetite, ilmenite, garnet) yield MS of 100-350 μSI, in contrast to <40 μSI in quartz-rich upper sub-layers and pre-storm deposits. Several peaks in MS values correspond to an up to 65% increase in threshold shear stresses associated with individual unidirectional surge flows, with several most-enriched event horizons likely corresponding to waning-stage storm surge peaks recorded by offshore buoys. The sharp contact with the pre-storm surface produces distinct GPR reflections that allow accurate mapping of the thickness and extent of hurricane deposits. Together with potential correlation between lithological anomalies and high amplitude georadar signal return, the approach used in this study has applications to reconstructing event deposits in Quaternary sedimentary records. The new research findings have potential implications for reconstructing surge dynamics of recent hurricane events as well as quantitative hindcasting of hydrodynamic conditions responsible for lithologically diverse intervals in ancient tempestites.<br>Temple University--Theses

In this thesis work, I examine the use and adoption of online communication media by 840 fire and police departments that were affected by the 2012 Hurricane Sandy. I began by exploring how and why these fire and police departments used (or did not use) online media to communicate with the public during Hurricane Sandy. Results show that fire and police departments used online media during Hurricane Sandy to give timely and relevant information to the public about things such as evacuations, damages, weather, and cleanup and to engage in two-way communications with their constituents. In their messages, fire and police departments sought to make the information provided more credible by referencing, rebroadcasting, and recommending other authoritative entities. Though some departments saw online media as a useful and effective means of communication with members of the public, other departments found them difficult to use given the challenging circumstances of Hurricane Sandy such as flooding and power outages. Next, I explore how a large-scale disaster event like Hurricane Sandy affects online media adoption by affected fire and police departments. I found an increase in online activity over Facebook, Twitter, and Nixle by the affected fire and police departments compared to before Hurricane Sandy. However, it is unclear whether this increase in online activity can be attributed to Hurricane Sandy or a natural increase over time.

Approved for public release; distribution is unlimited<br>The purpose of this thesis is to research and provide a comprehensive overview of contingency contracting practices within the United States as they apply during major disaster response scenarios. To do this, we analyzed three major disasters that occurred within the last twenty years. These are the Northridge, CA earthquake of 1994, Hurricane Katrina in LA in 2005 and Hurricane Sandy, impacting much of the northeast in 2012. We specifically picked these events for several reasons. They are large disasters with a voluminous amount of data available, they are geographically dispersed around the country, and there was sufficient time between each disaster to allow changes to contingency contracting plans and policy to change and be implemented. Our research and analysis focused on the events of the disaster itself, what contingency contracting preparations were in place prior to the disaster occurring, what types of contracts were awarded during the recovery phases, and what types of contingency contracting policy and procedure changes were made in in the aftermath of the disaster to make the system work more effectively and efficiently. Lastly, during each disaster we highlight what worked well and what did not and recommend changes to contingency contracting policy to avoid committing the same mistakes again.

This is a study about disasters, vulnerability and power. With regards to social justice organizing a particular research problem guides the work, specifically that emancipatory projects are often initiated and steered by privileged actors who do not belong to the marginalized communities they wish to strengthen, yet the work is based on the belief that empowerment requires self-organizing from within. Through an ethnographic field study of social justice organizing in the wake of Hurricane Sandy in Rockaway, New York City, the thesis explores whether and how vulnerable groups were empowered within the Occupy Sandy network. It is a process study that traces outside activists attempts at empowering storm-affected residents over time, from the immediate relief phase to long-term organizing in the recovery phase. The activists aimed to put to practice three organizing ideals: inclusion, flexibility and horizontality, based on a belief that doing so would enhance empowerment. The analysis demonstrates that collaboration functioned better in the relief phase than in the long-term recovery phase. The same organizing ideals that seem to have created an empowering milieu for storm-affected residents in the relief phase became troublesome when relief turned to long-term recovery. The relief phase saw storm-affected people step up and take on leadership roles, whereas empowerment in the recovery phase was conditional on alignment with outside activists’ agendas. Internal tensions, conflicts and resistance from residents toward the outside organizers marked the recovery phase. It seems that length of collaborative projects is not the only factor for developing trust but so is complexity. The more complex the activities over which partners are to collaborate the less easy it is. Based on this we could further theorize that the more complex the work is the more challenging it is for privileged groups to give away control. The internal struggles of the organization partially explain the failures to influence an urban planning process that the organization attempted to impact, which connects the micro-processes with broader change processes toward transformation of vulnerability.

Recent hurricanes have made it clear that housing is the single greatest component of all losses in terms of economic value and buildings damaged. Housing damage resulting from floods has increased in the United States, despite local, state and federal encouragement to mitigate flood hazards and regulate development in flood-prone areas (Atreya, 2013). The two primary causes of these increased costs are: (1) a rise in the occurrence and strength of the extreme weather events, and (2) increased development and value of property in physically vulnerable areas. The overlap of the above two factors resulted in tremendous losses of property in Staten Island and other coastal communities along the Atlantic Coast. Hurricane Sandy was a reminder of how vulnerable such areas could be. After hurricane Sandy, damaged properties experienced higher than usual housing sales and changed property values. This research, seeks to improve the current state of knowledge about housing market following a major disaster through examining single-family housing sales and prices in Staten Island, New York. The housing price recovery rate was much slower for the properties that sustained damage, and the impacts lasted for at least four years after the storm. Researchers studying housing recovery have utilized a variety of indicators like financial characteristics, government policies, social parameters, damage, housing characteristics, etc. to capture the dimensions of recovery. In Sandy's case damage was the major influencing parameter, and it completely changed the housing dynamics of the affected coastal regions. Housing market, in terms of damage, restoration, and recovery, is a fundamental indicator of disaster resilience. Every community is different and so are the effects of disasters on residential markets. This study clearly highlights this point and underscores the importance of using contextual methods and data sets in conducting the research.<br>Master of Urban and Regional Planning<br>Recent hurricanes have made it clear that housing is the single greatest component of all losses in terms of economic value and buildings damaged. Housing damage resulting from floods has increased in the United States, despite local, state and federal encouragement to mitigate flood hazards and regulate development in flood-prone areas (Atreya, 2013). The two primary causes of these increased costs are: (1) a rise in the occurrence and strength of the extreme weather events, and (2) increased development and value of property in physically vulnerable areas. The overlap of the above two factors resulted in tremendous losses of property in Staten Island and other coastal communities along the Atlantic Coast. Hurricane Sandy was a reminder of how vulnerable such areas could be. After hurricane Sandy, damaged properties experienced higher than usual housing sales and changed property values. This research, seeks to improve the current state of knowledge about housing market following a major disaster through examining single-family housing sales and prices in Staten Island, New York. The housing price recovery rate was much slower for the properties that sustained damage, and the impacts lasted for at least four years after the storm. Researchers studying housing recovery have utilized a variety of indicators like financial characteristics, government policies, social parameters, damage, housing characteristics, etc. to capture the dimensions of recovery. In Sandy’s case damage was the major influencing parameter, and it completely changed the housing dynamics of the affected coastal regions. Housing market, in terms of damage, restoration, and recovery, is a fundamental indicator of disaster resilience. Every community is different and so are the effects of disasters on residential markets. This study clearly highlights this point and underscores the importance of using contextual methods and datasets in conducting the research.

Recent hurricanes have made it clear that housing is the single greatest component of all losses in terms of economic value and buildings damaged. Housing damage resulting from floods has increased in the United States, despite local, state and federal encouragement to mitigate flood hazards and regulate development in flood-prone areas (Atreya, 2013). The two primary causes of these increased costs are: (1) a rise in the occurrence and strength of the extreme weather events, and (2) increased development and value of property in physically vulnerable areas. The overlap of the above two factors resulted in tremendous losses of property in Staten Island and other coastal communities along the Atlantic Coast. Hurricane Sandy was a reminder of how vulnerable such areas could be. After hurricane Sandy, damaged properties experienced higher than usual housing sales and changed property values. This research, seeks to improve the current state of knowledge about housing market following a major disaster through examining single-family housing sales and prices in Staten Island, New York. The housing price recovery rate was much slower for the properties that sustained damage, and the impacts lasted for at least four years after the storm. Researchers studying housing recovery have utilized a variety of indicators like financial characteristics, government policies, social parameters, damage, housing characteristics, etc. to capture the dimensions of recovery. In Sandy's case damage was the major influencing parameter, and it completely changed the housing dynamics of the affected coastal regions. Housing market, in terms of damage, restoration, and recovery, is a fundamental indicator of disaster resilience. Every community is different and so are the effects of disasters on residential markets. This study clearly highlights this point and underscores the importance of using contextual methods and data sets in conducting the research.<br>Master of Urban and Regional Planning<br>Recent hurricanes have made it clear that housing is the single greatest component of all losses in terms of economic value and buildings damaged. Housing damage resulting from floods has increased in the United States, despite local, state and federal encouragement to mitigate flood hazards and regulate development in flood-prone areas (Atreya, 2013). The two primary causes of these increased costs are: (1) a rise in the occurrence and strength of the extreme weather events, and (2) increased development and value of property in physically vulnerable areas. The overlap of the above two factors resulted in tremendous losses of property in Staten Island and other coastal communities along the Atlantic Coast. Hurricane Sandy was a reminder of how vulnerable such areas could be. After hurricane Sandy, damaged properties experienced higher than usual housing sales and changed property values. This research, seeks to improve the current state of knowledge about housing market following a major disaster through examining single-family housing sales and prices in Staten Island, New York. The housing price recovery rate was much slower for the properties that sustained damage, and the impacts lasted for at least four years after the storm. Researchers studying housing recovery have utilized a variety of indicators like financial characteristics, government policies, social parameters, damage, housing characteristics, etc. to capture the dimensions of recovery. In Sandy’s case damage was the major influencing parameter, and it completely changed the housing dynamics of the affected coastal regions. Housing market, in terms of damage, restoration, and recovery, is a fundamental indicator of disaster resilience. Every community is different and so are the effects of disasters on residential markets. This study clearly highlights this point and underscores the importance of using contextual methods and datasets in conducting the research.

Over the 1951-2009 time period, 47% of all tropical systems in the Atlantic Basin transitioned to post-tropical storms. These storms are capable of producing hurricaneforce winds, torrential, flooding rains and storm surge that floods coastal areas. This study adds to previous climatological work by completing a case-study of Hurricane Ike (2008) and examining how teleconnections such as the El Niño Southern Oscillation (ENSO), the Madden-Julian Oscillation (MJO), the Atlantic Multidecadal Oscillation (AMO) and the Pacific Decadal Oscillation (PDO) contribute to the strength of a transitioning post-tropical storm. T-tests performed show strong statistical relationships between an increase (decrease) in post-tropical storm frequency and warm PDO – La Niña (cold PDO – La Niña), cold PDO – ENSO neutral (warm PDO – ENSO neutral), and warm (cold) AMO conditions. Moreover, nearly significant results were found for the same increase (decrease) and La Niña seasons since (pre) 1980 and for cold (warm) PDO conditions. Modeling the MJO suggests that increased (decreased) relative humidity associated with the wet (dry) phase could increase (decrease) precipitation output from the storm and decrease (increase) forward speed of the storm, decreasing (increasing) wind speeds observed at the surface.

Understanding the effects of large-scale disturbances and associated management actions on imperiled species can increase conservation value of future management. Piping plovers (Charadrius melodus) are federally threatened and endangered, disturbance-dependent shorebirds, nesting on broad, sparsely vegetated beaches, sandbars, and lakeshores. In October 2012, Hurricane Sandy storm surges cleared vegetation and opened old and new inlets through Fire Island and Westhampton Island, New York, creating plover habitat. Storm effects prompted an island-wide stabilization project, and certain sections of Fire Island were designed to create and/or improve plover habitat (hereafter, restoration areas) to mitigate possible habitat loss or degradation. Many plover populations range-wide appear to be habitat-limited, and we anticipated positive population growth following habitat creation. To help predict what might happen to the plover population following Hurricane Sandy, we evaluated the effects of habitat-creating events at several other locations in the range, evaluating the hypothesis that plover population sizes are habitat limited. We estimated the amount of habitat available before and after four significant storm and flooding events by classifying pre- and post-disturbance aerial imagery and evaluated the population changes that occurred after disturbance-related habitat alterations. Following these habitat creating events, nesting habitat increased 27%–950%, and, subsequently, these plover populations increased overall 72%–622% (increase of 8–217 pairs in 3 to 8 years after the disturbance, average 12–116% increase annually). The demographic changes likely were driven by some combination of productivity and immigration occurring simultaneously with regional increases. We then evaluated population and suitable habitat change on Fire Island and Westhampton Island following Hurricane Sandy. We developed an integrated population model to determine the primary contributors to population and assessed the effect of restoration areas on demographic processes during 2013–2018. We also recorded individual locations of adults and pre-fledge chicks to evaluate effects of post-Hurricane Sandy landscape features on resource selection of adults and chicks, and behavior and survival of plover broods. We evaluated whether breeding stage (pre-breeding, nesting, brooding, post-breeding), simple breeding stage (breeding, not-breeding), or instantaneous behavior class (parental, non-parental) best explained habitat selection during the 5-month plover breeding season. We also evaluated the effects of post-Hurricane Sandy landscape features on resource selection, behavior, and survival of plover broods during 2013–2019. We observed positive population growth in three of five years and overall growth through the study (λ ̅=1.12). Immigration and reproductive output were correlated with population growth (r = 0.93 and 0.74, respectively). Compared to the rest of the study area, restoration areas had higher chick survival but lower nest survival and breeding fidelity, and population growth (λ ̅=1.09) in restoration areas was similar. For adult plovers, behavior class best explained habitat selection. Compared to non-parental plovers, plovers engaged in parental behavior (incubating, brooding, and accompanying chicks, hereafter 'parental') selected areas closer to bay intertidal habitats and with more dry sand. Non-parental plovers avoided areas with more dry sand and did not select for or against bay intertidal habitats. Additionally, non-parental plovers avoided development more than parental plovers and avoided areas of lower elevation more than parental plovers. In each year, there was more suitable habitat for parental plovers than non-parental plovers. Plover broods selected for flatter sites with less vegetation but selected for sites closer to development as time since Hurricane Sandy increased. Chick foraging rates were highest in moist substrates and were negatively influenced by nesting plover density. Chick survival was negatively influenced by nesting plover density and was greater for earlier hatched broods. Further, chick survival was higher following an outbreak of sarcoptic mange in the local red fox (Vulpes vulpes) population. If human interventions were reduced or modified in such a way as to create, maintain, and improve habitat, plover populations likely would reach higher numbers, and the potential for achieving recovery goals would be increased. Future restoration areas projects could use Great Gun as a model, although design criteria could be improved to increase access to moist, flat, low energy foraging sites. Efforts to increase immigration of novel breeding adults into the system, primarily by habitat creation or maintenance, are likely to have the greatest local effect on population growth but may not improve regional population persistence if habitat creation is only local. Management to improve reproductive output is likely to have a positive effect on population growth if there is suitable habitat to support recruits and will improve regional population persistence by producing emigrants. When improving or creating plover habitat, managers should consider habitat needs both for plovers of all life stages. Habitat management should focus on maintaining vegetation-free sand and access to low-elevation foraging habitat. Allowing hurricanes such as Hurricane Sandy to alter the landscape naturally will create these landscape features.<br>Doctor of Philosophy<br>Piping plovers (Charadrius melodus) are federally threatened and endangered shorebirds that nest on sandy beaches, sandbars, and lakeshores. In October 2012, Hurricane Sandy created substantial habitat on Fire Island and Westhampton Island, New York, which could have acted as plover habitat. However, concerns about mainland safety from future storms prompted an island-wide project, building dunes planted with beach grass, to improve ability of Fire Island to protect the mainland. However, planted dunes had the potential to negatively affect newly created habitat, and certain sections of Fire Island were designed to create plover nesting habitat. Because of the habitat creation, we predicted that the population would increase. To illustrate that habitat creating events lead to plover population increases, we used freely available aerial imagery and identified all areas of dry and moist sand in study areas. We then used local plover monitoring data to relate habitat change to plover population change, and found that for several hurricanes and floods in the piping plover range, habitat increases led to population increase. We then evaluated population change on Fire Island and Westhampton Island, and found that the population increased 90% following Hurricane Sandy, and the increase was primarily due to new immigrant adults, and local reproductive success. The created restoration areas had similar reproductive output and population growth to the rest of the study area. To determine the areas on Fire Island and Westhampton Island that were adequate habitat for piping plover adults, we compared habitat used by plovers to what was available on the island and determined that habitat use differed between adults exhibiting parental behaviors and adults exhibiting all other behaviors. Non-parental plovers avoided dry sand. Both parental and non-parental plovers avoided development and high elevation sites. Overall, more sand was suitable for parental plovers than non-parental plovers. Because reproductive output also was influential to the population increase on Fire Island, we evaluated effects of landscape features on plover chick habitat, foraging, and survival. Plover chicks avoided vegetation, and selected flatter areas, but selected sites closer to development as time since Hurricane Sandy increased. Chicks spent more time foraging in moist substrates, and less time foraging when there were more plovers nesting in a management unit. Chick survival also was lower when more plovers were nesting in a management unit and was greater for earlier hatched broods. Further, chick survival was higher following a sharp decline in the local red fox (Vulpes vulpes) population. Overall, Hurricane Sandy was a positive force for this local plover population and local efforts to allow hurricane storm surges to modify the island in the future will improve long-term population persistence. Efforts to increase immigration of novel adults into Fire Island and Westhampton Island, primarily by habitat creation or maintenance, are likely to have the greatest local effect on positive population growth. Improving reproductive output is likely to have a positive effect on local and regional population growth, particularly by maintaining a low red fox population, if there is suitable habitat to support recruits. When improving or creating plover habitat, managers should consider habitat needs for plovers across the whole breeding season rather than just nesting. Habitat management should focus on maintaining vegetation-free sand, and access to low-elevation, flat foraging habitat. Habitat creation also may increase habitat amount and therefore local population growth.

The phenomenon of climate change exists in a liminal state between denial and acceptance, past and future, theory and reality, problem and catastrophe, unfolding in the spaces between apparently stable forms. This thesis considers different temporalities emerging within this transition through a creative exploration of extreme weather and climatic events that seeks to foreground the idea of change itself. Research centers around the Florida Keys, a low lying archipelago that is widely expected to become uninhabitable in the next half century due to sea level rise, but only if the islands do not suffer a similar fate much sooner with the sudden arrival of a catastrophic hurricane. While most Keys residents are unconcerned about the growing reality of sea level rise, hurricanes are a constant threat generating a palpable atmosphere of anticipation and corresponding precaution. In resonance with this regular storm activity in the Florida Keys, the project also reflects on the coincidental occurrence of Hurricanes Irene (2011) and Sandy (2012), two errant and devastating storms that visited the northeastern United States over the course of this project and personally affected the author. Thus, extreme weather provides a material entry point into the complex and far-reaching event of climate change, offering an opportunity to theorize transition and to reflect on what might be creatively recuperated from cross currents of climate and catastrophe. In conclusion, the thesis proposes an ontology inspired by the unique reproductive strategy of the mangrove plant that has thickly and extensively colonized the coastline of southern Florida and through which events are understood to possess qualities of latency, accrual and distribution and to give rise to a future that is germinal, a present that is continuously resignified and a past that remains profoundly creative.

Coastal inundation initiated via storm surge by hurricanes and nor'easters along the U.S. East Coast is a substantial threat to residential properties, community infrastructure, and human life. During and after the storm, compounding with heavy precipitation and upland drainage, inundation can be caused by the combination of storm surge and river-induced inland flooding in various locations throughout the coastal plain. Thus, coastal inundation can be expanded from the open coast upstream into the tributaries of the New York Bay including the Hudson and East River systems. Given the cross-disciplinary nature of the dynamics (encompassing hydraulics, oceanography, and hydrology), and the complexity of the atmospheric forcing, a numerical model is the optimal approach for a comprehensive study of the hydrodynamics of coastal inundation.;This study will utilize the large-scale parallel SELFE model to simulate the storm surge and inundation caused by 2012 Hurricane Sandy utilizing different forecast wind and pressure fields. The large-scale numerical model made use of multiple inputs for atmospheric forcing and spatially covered a large domain area to account for large-scale oceanographic processes and output accurate model simulation of water levels. In a simultaneous effort, a street-level sub-grid inundation model coupled with Lidar-derived topography (UnTRIM 2) was employed to simulate localized flooding events in the New York Harbor.;Sub-grid modeling is a novel method by which water level elevations are efficiently calculated on a coarse computational grid, with discretized bathymetric depths and topographic heights stored on a sub-grid nested within each base grid cell, capable of addressing local friction parameters without resorting to solve the full set of equations. Sub-grid technology essentially allows velocity to be rationally and efficiently determined at the sub-grid level. This salient feature enables coastal flooding to be addressed in a single cross-scale model from the ocean to the upstream river channel without overly refining the grid resolution. to this end, high-resolution Digital Elevation Models (DEMs) were developed utilizing GIS from Lidar-derived topography for incorporation into a sub-grid model, for research into the plethora of practical research applications related to urban inundation in New York City.;SELFE large-scale storm tide simulations were successfully conducted for 2012 Hurricane Sandy using both the North American Regional Reanalysis (NARR), and the Regional Atmospheric Modeling System (RAMS) atmospheric hindcast model results as atmospheric inputs. Overall statistics using the 24km resolution NARR inputs observed an average R2 value of 0.8994, a relative error of 11.77%, and a root-mean-squared error of 32.69cm for 10 NOAA observation stations. The 4km RAMS inputs performed noticeably better at all 10 stations with aggregate statistics yielding an average R2 value of 0.9402, a relative error of 4.08%, and a rootmean-squared error of 19.22 cm. Since the RAMS atmospheric inputs possessed a higher spatial and temporal resolution than the NARR inputs for air pressure and wind speed, it was concluded that generally superior storm tide predictions could be expected from utilizing more reliable or better resolution atmospheric forecast products.;UnTRIM2 results were obtained via sub-grid simulation of 2012 Hurricane Sandy in the New York Harbor with high-resolution topography and building heights embedded in the model sub-grid for New York City. Model performance was assessed via comparison with various verified field measurements: (1) Temporal comparison of NOAA and USGS permanent water level gauges, (2) USGS rapid deployment water level gauges, along with a spatial inundation comparison using (3) USGS-collected high water marks, (4) FEMA-collected data regarding inundated schools, (5) calculated area and distance differentials using FEMA's maximum extent of inundation map, and (6) known locations of inundated subway entrances. Temporal results verified the effectiveness of the sub-grid model's wetting and drying scheme via seven over land rapid deployment gauges installed and collected by the USGS with a mean R2 of 0.9568, a relative error of 3.83%, and a root-mean-squared error of 18.15cm.;Spatial verification of the inundation depths predicted by the UnTRIM 2 model were addressed by comparison with 73 high water mark measurements collected by the USGS and by 80 FEMA-reported water level thicknesses at inundated schools throughout the sub-grid domain separated by state. Average statistics for the 73 USGS-recorded high water marks for New York and New Jersey were: 0.120+/-0.085m and 0.347+/-0.256m for root-mean-squared error +/- standard deviation, respectively. The larger differences and errors reported in the point to point comparisons for New Jersey relative to New York were largely due to the lack building representation in the sub-grid DEM for the New Jersey side of the Hudson River, and was a significant indication that the representation of buildings as a physical impediment to fluid flow is critical to urban inundation modeling.;A maximum difference threshold was imposed for distance and area comparisons with FEMA's Hurricane Sandy flood map using the average distance differential rounded to 40m. This was done to minimize the impact of missing or added infrastructure such as highway overpasses along with Lidar-derived data limitations of physical impediments to fluid flow not accounted for in the model's DEM. The difference in the absolute mean distance between the maximum extent predicted by the street-level sub-grid model and the FEMA maximum inundation observation was 21.207m or ≈4 sub-grid pixels at 5m resolution for the entire sub-grid domain. The final area comparison resulted in an 85.17% area (49,253,687m 2) spatial match, with 7.57% area (4,376,726m2) representing model over-prediction, and under-prediction area accounting for 7.27% (4,202,376m 2), with differences being attributed to lack of building representation in the FEMA maximum inundation map. Additionally, the implementation of the FEMA's spatial flood map data as a "bathtub" model derivative product of USGS interpolated high water marks and elevation data without regard for strong water current velocities or estuarine circulation can also account for regions with significant discrepancies.;Keywords: Sub-Grid, Stotul Surge, Inundation, New York Harbor, New York City, Jersey City, Conveyance Approach, Unstructured Grids, UnTRIM, SELFE, Lidar-Derived Topography.

<p> This research examines the collaboration that took place between the American Red Cross and the City of New York in the development and dissemination prior to Hurricane Sandy, and looks at how that plan was implemented during the storm. It examines how the responsibility of government to care for its people influences response plans and how the government collaborates with non-profit agencies to care for those citizens in planning for and responding to disasters. The data for this research was collected through an online survey tool that was distributed to employees and volunteers of the American Red Cross, then compiled and analyzed. The results from the survey were utilized to understand how the disaster response plan was utilized and make recommendations for future responses.</p>

Older adults are encountering harsh recovery after disasters, and compounding this problem is the lack of research on older adults' perceptions on disaster preparedness as aging affects the ability to react to emergency situations. To partially address that gap, the purpose of this general qualitative research study was to use Rotter's spectrum of locus of control theory to examine the level of preparation regarding disaster preparation of older adults who were living independently in single-family homes in a state affected by Hurricane Sandy. Data were collected through a qualitative survey distributed to adults aged 65 to 80-years (N=88) and publicly available documents from federal and state emergency management agencies. These data were inductively coded and subjected to a thematic analysis procedure. Findings identified 3 themes that consisted of (a) delayed acceptance, (b) defective instinct, and, (c) unexpected effects of disasters. This study contributes to social change by helping emergency management officials understand the deficiencies in preparedness by an aging population which may in turn improve the quality of life for older adults by stressing proper preparation for sheltering in place or evacuation in the event of a disaster.

In recent years, social media platforms such as Twitter and Facebook have emerged as effective tools for broadcasting messages worldwide during disaster events. With millions of messages posted through these services during such events, it has become imperative to identify valuable information that can help the emergency responders to develop effective relief efforts and aid victims. Many studies implied that the role of social media during disasters is invaluable and can be incorporated into emergency decision-making process. However, due to the "big data" nature of social media, it is very labor-intensive to employ human resources to sift through social media posts and categorize/classify them as useful information. Hence, there is a growing need for machine intelligence to automate the process of extracting useful information from the social media data during disaster events. This dissertation addresses the following questions: In a social media stream of messages, what is the useful information to be extracted that can help emergency response organizations to become more situationally aware during and following a disaster? What are the features (or patterns) that can contribute to automatically identifying messages that are useful during disasters? We explored a wide variety of features in conjunction with supervised learning algorithms to automatically identify messages that are useful during disaster events. The feature design includes sentiment features to extract the geo-mapped sentiment expressed in tweets, as well as tweet-content and user detail features to predict the likelihood of the information contained in a tweet to be quickly spread in the network. Further experimentation is carried out to see how these features help in identifying the informative tweets and filter out those tweets that are conversational in nature.

A hydrodynamic-based storm severity scale that ranks the damage potential of a storm at a given coastal area is developed. Seventeen tropical and extratropical storm events at 113 different locations on the Atlantic coast and the Gulf of Mexico are examined in order to create and verify a Storm Severity Index Model (SSIM). The results from the SSIM are then used to create a location-based storm severity scale titled the Twenty-Four Point Storm Severity Scale. The Twenty-Four Point Scale is based on three subsets of factors. The first is the energy flux above the normal mean high water line that the storm produces, the second is the amount of overwash due to wave-induced runup, and the third is the inundation due to surge-induced flooding that occurs during the event. The advantage of this methodology is that it enables the level of risk associated with a storm to be examined for a specific region, rather than having a single broad value define the entire event. Although, the index is intended for use on sandy beaches with or without dunes, the general methodology could be extended to armored beaches.

Thesis (M.S.)--Joint Program in Oceanography/ Applied Ocean Science and Engineering, Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution, 2006.<br>"September 2006." Description based on title screen as viewed on June 8, 2010. DTIC Descriptor(s): Ocean Waves, Water Waves, Ripples, Side Looking Sonar, Ocean Bottom, Frequency, Detection, Sites, Theses, Depth, Buried Objects, Mines(Ordnance), Secondary Waves, Scientists, Offshore, Sediments, Acoustic Data, Data Acquisition, Storms, Sand, Motion, Models, Surface Waves, Angles Includes bibliographical references (leaves 94-96). Also available in print.

The Mississippi River (MR) has been engineered with the development of the levee system, dams for flood control measures, jetties, revetments and dredging of the navigation channel. These alterations have reduced the replenishment of the sediment to the Louisiana Coastal area. To aid in the restoration planning, 1-D numerical models have been calibrated and validated to predict the river response to various changes such as channel modifications, varied flow conditions and hurricane situations. This study utilized the HEC-RAS 4.1 and the CHARIMA (Dr. Forrest Holly, University of Iowa). The models were calibrated for hydrodynamics and sediment using Tarbert Landing discharges (HEC-RAS), Belle Chasse sand concentrations (CHARIMA), and Gulf of Mexico (GOM) stages. The models showed that a large percentage of the river flow is lost over the East Bank downstream of Bohemia which reduces the sand transport capacity of the river. This reach is subject to flow reversals during hurricanes.

Open coastlines are dynamic environments which experience seasonal and long-term physical changes. Sandy beaches line much of this coastline. As part of the requirements for Ph.D., I conducted a study examining intertidal macrofaunal and sedimentological features along the upper Texas coastal from 2007-2009. Four sites near Sabine Pass, High Island, Jamaica Beach, and Surfside Beach were selected. Beach transects were established at each site with six intertidal stations identified for collecting macrofaunal sediment core samples. Although sandy beaches are low in species diversity, the taxa found survive under dynamic and harsh conditions. In disturbance dominated environments, sandy beach fauna tended to be influenced by physical factors, instead of biologically controlled ones. The taxa found in this study include primary and secondary successional organisms which are adapted to handle disturbances. 98% of the benthic specimens identified belonged to six taxa with 92% from two taxa, Scolelepis squamata (38%) and Haustoriidae (54%). Macrofaunal zonation varied between sites because of beach geomorphology. On September 13, 2008, Hurricane Ike made landfall on the upper Texas coast causing extensive damage and erosion. Roughly 0.5 m of vertical height was lost at each beach post-storm. Total macrofaunal abundance declined by 87% from pre-storm counts. During the recovery the dominant two taxa, Haustoriidae and Scolelepis squamata, made up 82.78% of the total benthic specimens identified with haustoriids making up 68% of the total benthic taxa. The beach community remained dominated by four of the previously identified, six most common and abundant taxa. Recovery of sandy beaches often was hindered by increased vehicular traffic, sand removal and cleaning. Beach ecosystems have shown a high natural ecological resilience, but do not preclude the possibilities of habitat extinction and/or catastrophic community regime shift. Beaches are highly susceptible to human exploitation and global climate change, such as sea level rise. Knowledge of beach macrofaunal diversity along the Texas coast, such as haustoriids, could be used to estimate beach health and better evaluate the upward effects of natural disturbance, pollution and human uses on an integral part of the coastal ecosystem.

abstract: ABSTRACT This dissertation examined how seven federal agencies utilized Twitter during a major natural disaster, Hurricane Sandy. Data collected included tweets between October 26-31, 2012 via TweetTracker, as well as federal social media policy doctrines and elite interviews, to discern patterns in the guidance provided to federal public information officers (PIOs). While scholarly research cites successful local and state government efforts utilizing social media to improve response efforts in a two-way communications interaction, no substantive research addresses social media’s role in crisis response capabilities at the federal level. This study contributes to the literature in three ways: it focuses solely on the use of social media by federal agencies in a crisis setting; it illuminates policy directives that often hamper federal crisis communication response efforts; and it suggests a proposed model that channels the flow of social media content for PIOs. This is especially important to the safety of the nation moving forward, since crises have increased. Additionally, Twitter was adopted only recently as an official communications tool in 2013. Prior to 2013, social media was applied informally and inconsistently. The findings of this study reveal a reliance upon a one-way, passive communication approach in social media federal policy directives, as well as vague guidelines in existing crisis communications models. Both dimensions are counter to risk management and crisis communication research, which embrace two-way interactivity with audiences and specific messaging that bolsters community engagement, which are vital to the role of the PIO. The resulting model enables the PIO to provide relevant information to key internal agencies and external audiences in response to a future crisis.<br>Dissertation/Thesis<br>Crisis Tweet Text and Data<br>Doctoral Dissertation Mass Communication 2017

Floods affect millions of people each year, with increasing frequency in the past decades. Floods, as any other natural phenomena, do not take place in a vacuum. Their impacts are modulated by the socioeconomic environments they affect, which are far from homogeneous and oftentimes characterized by deep disparities and inequalities. Ensuring sustainable development in a world where climate change is forecasted to increase the frequency and severity of flooding requires a nuanced understanding of these interactions between natural and socioeconomic systems. This dissertation sheds light on the impacts of flooding on economic outcomes of interest in two contrasting settings. First, Chapters 1 and 2 focus on the effects of flooding as a natural disaster in a developed country, the United States. Using evidence from Hurricane Sandy in 2012, these chapters explore how different neighborhoods, with different characteristics, responded to flooding. They conclude that heterogeneous responses led to an increased polarization along property value, racial, and income lines among neighborhoods. Then, Chapter 3 investigates the effects of seasonal flooding in the Malian Sahel. Unlike the previous setting, flooding brings about positive outcomes in this context, as livelihoods in this arid region are heavily dependent on surface water for agriculture. This chapter shows that lower seasonal flooding increases infant mortality. Thus, it provides evidence on the sort of long-term consequences that could affect low-income households after suffering short-lived resources shocks. Overall, this dissertation contributes to our understanding of the heterogeneous impacts of flooding. Increased awareness of these impacts would be key to formulate successful post-flood responses and policies to ensure future sustainable development.

碩士<br>世新大學<br>新聞學研究所(含碩專班)<br>101<br>This research analyzes the coverage on Hurrincane Sandy in two news media, BBC World, a transnational media, and The Gleaner, a Jamaican local media, by content analysis and critical discourse analysis. The aim is to compare the discourse power between core nations and non-core nations in disaster news coverage. In addition, the possibilities to restructure the hierarchy of international discourse power are also examined in this thesis. It is found that BBC World focuses on how Hurricane Sandy influences the globe, while The Gleaner emphasizes how the disaster affects the local people’s life. Driven by different motives, transnational media gives more attention on the damage in USA and local media concerns about the whole condition of Caribbean countries in this disater. To conclude, the worries of cultural imperialism and electronic colonialism are only shown on the transnational news media, instead of local news media. However, though local media is not influenced by transnational media, the latter grabs more international attention. Therefore, the media literacy of the audience plays a crucial role to restructure the hierachy. The Internet users should aware of the biased view point of transnational media, and know how to collect the information which is closer to the truth.