Search results

Changing climate dynamics have resulted in a confluence of disaster events to which Louisiana government leaders and emergency managers have never before had to respond simultaneously: a global pandemic and an “epidemic” of landfalling hurricanes during the 2020 season (eight cones over Louisiana) with challenging, unusual characteristics: (1) two hurricanes passing over the same location within 36 hours, a fujiwhara – Hurricanes Marco and Laura, (2) 150 mile-per-hour winds inadequately forecasted and of an almost unprecedented speed, (3) a difficult to forecast surge magnitude that led to incorrect immediate response, (4) delayed long-term recovery efforts from responders outside of the area because of initial reporting errors regarding surge heights and wind speed, and (5) a storm, Zeta, that passed directly over a densely populated area that would have been hard hit by rain if the storm had slowed. In addition, the number and closeness in dates of storm occurrences led to lengthy coastal high-water levels. To these co-occurring threats forecasters, state and local officials and residents responded with expertise and commitment, adhering to close collaboration, modifying evacuations and undertaking protective measures, all contributing to a low death rate from storms and a modest death rate from COVID. More just outcomes were supported by the general capacity of the responders, commitment to keep the residents informed about both risks and appropriate responses to them and the provision of special services, calculated for the new situation of the pandemic and the storm epidemic, for those without the means to respond adequately to both.

The purpose of this research is to analyze a county’s housing market over 23 years to determine what impact, if any, multiple hurricanes have had on the residential real estate market.

This research uses a hedonic price model to determine the impacts that multiple hurricanes had on housing values.

There was a significant and negative countywide impact on housing sales values in the 1996, which can directly be attributed to three hurricanes impacting Brunswick County. Economic factors, rather than hurricanes and related storms, are more likely to impact sales values in all other years.

This research is limited only to single-family home sales in Brunswick County, North Carolina, from 1984 to 2007. The model does not include multi-family residential uses.

Unlike many other areas that have been studied regarding natural disasters, Brunswick County has been hit multiple times by hurricanes and related storms, providing some insight into the long-term implications of the impact of storms on housing values over an extended period of time. The practical implication is that despite the likelihood of hurricanes and proximity to the ocean, people are willing to pay to live in coastal areas, even an area with a history of repeated direct and indirect strikes by hurricanes.

Unlike much of the peer-reviewed research that looks at a single occurrence of a natural disaster, this research looks at the impacts of multiple hurricanes on a single county over 23 years to determine what impact, if any, these storms have on the overall housing market.

Franchise relocation and sport introduction are becoming commonplace in professional sports. However, many franchises have found that developing fan acceptance is often challenging. The fan adoption process is presented as a systematic framework that guides strategy development from creating fan awareness through adoption. An examination of the Carolina Hurricanes inaugural season (1997‐1998) provides a variety of examples of how marketing strategy evolves throughout the fan adoption process.

A reliable forecast of hurricane activity in the Atlantic Basin has the potential to help mitigate the economic losses caused by hurricanes. One of the difficult problems is to make reasonable annual forecast of catastrophe losses based on the short record of historical observations. Atmospheric conditions tend to influence tropical cyclone development. Considering the complex interactions among climatological factors, prediction of future hurricane activity is challenging. In this study, the authors are attempting to predict the number of Atlantic hurricanes for a given year based on two different approaches.

In part I, an autoregressive integrated moving average (ARIMA) is used to model a long‐run behavior of Atlantic hurricane frequency. The authors present a comparison of CSU's forecast with ARIMA model. Part II focuses on the relationship between the climate signals and hurricane activity and introduces a new approach in including climate indices into the prediction model. In this part, principal components analysis (PCA) is used to identify possible patterns in historical data based on six climate indices measured prior to hurricane season. The objective is to reduce the data set to a smaller set while most of the variability observed in the real data is captured. The variances observed in an orthogonal system indicate the order of contribution of each mode shape.

Results from part I suggest that CSU's forecast model, in general, is superior to results obtained by ARIMA. In part II, the correlation between mode (shapes) and the number of Atlantic hurricanes per year is examined. The resulting relationships show that, for the time interval of 1990 through 2011, PCA‐based approach provides better estimates compared to CSU's forecast.

The paper presents a unique prediction approach which is simple, relatively accurate and easy to apply. The results of this study show that complex statistical analyses/models do not necessarily provide better forecasts.

The purpose of this study is to examine how the lodging market and the state economy affected by Hurricane Sandy have recovered from the damages sustained. Specifically, this study examines and predicts the influence of revenue management key performance indicators (KPIs) on recovery and lodging revenue in the affected states and the states’ economies. These KPIs include average daily rate (ADR), occupancy and revenue per available room (RevPAR).

Secondary financial data were collected for the states most damaged by Hurricane Sandy. Subsequently, pooled Ordinary Least Square (OLS) regression was conducted combining time and non-time dependent variables based on the states and radius from the landfall.

The results indicate that although the lodging market and the state economies have recovered since the onslaught of Hurricane Sandy, certain KPIs still need to improve.

Managerial implications are suggested in terms of dynamic pricing, market-based recovery, the KPIs, federal aid and facility management.

Despite its importance, research on the effects of climate change in the hospitality context has not actively progressed after Hurricane Katrina. Time and non-time dependent variables are combined in this analysis to gain a richer understanding of the impacts and recovery of KPIs on the revenue in the lodging market and the revenue on states’ economies. Additional analysis based on the radius from the landfall of the hurricane was performed to examine the impact and recovery based on geographical proximity.

This action research study reports on an important unit of study having evidence of success. The paper discusses how students in a social studies classroom setting may be encouraged to develop and display empathy for individuals who are impacted by hurricane disasters. It uses aspects of the documentary “When the Levees Broke” in collaboration with the “Teaching the Levees Module” and several technology based classroom resources. The findings indicate that as students contextualized the impact of Hurricane Katrina and similar natural disasters on human populations they begin to develop and display empathy. The students who were involved in this investigation also were able to apply principles of social justice which facilitated reflective thinking as they used hindsight to analyze and discuss the context of this natural disaster

The purpose of this work is the development of a structured case study design process for developing case studies in humanitarian logistics, in particular for short-term predictable disaster situations like floods and hurricanes. Moreover, useful public sources are presented in order to enable researchers to find relevant data for their case studies more easily.

A structured framework for case study design is set up, splitting the process into different steps and phases.

The framework is applied to an illustrative example, where case studies with different numbers and levels of detail of scenarios are designed based on the three-day forecast for hurricane Harvey in 2017. The corresponding solutions demonstrate the relevance of using as much forecast information as possible in case study building, and in particular in scenario design, in order to get useful and appropriate results.

The case study design process is mostly suitable for short-term predictable disasters, but can also be adapted to other types of disasters. The process has been applied to one specific hurricane here which serves as an example.

Also for practitioners, the results of this work are highly relevant, as constructing realistic cases using real data will lead to more useful results. Moreover, it is taken into account in the case study design process that relief agencies are regularly confronted with disasters in certain areas and hence need to define the basic planning situation and parameters “once and for all” and on a long-term basis, whereas disaster specific data from forecasts are only available within a short time frame.

The new design process can be applied by researchers as well as practitioners, and the publicly available data sources will be useful to the community.

By reviewing recent literature, it is noticeable that considerable attention has been given to the relationship between all Atlantic hurricanes and those that make landfall in the USA. However, less research has been done regarding landfall frequency and identifying spatial areas that are statistically more likely to produce landfalling hurricanes. The purpose of this paper is to provide a better prediction method for US landfalling hurricanes.

This work is based on the hypothesis that landfall variations along the US coast can be better explained in terms of hurricane origination points over more susceptible areas on the North Atlantic Ocean. Simulation techniques are used to spatially quantify the landfall probability.

Results indicate the existence of a landfall corridor in the Atlantic Basin, which explains some of the variances observed in the landfall process. Two different hypotheses of climate are examined. A long‐term assumption is based on the historical data from 1940 to 2010. The second assumption is based on the Atlantic Multidecadal Oscillation. Since 1995, we are in a warm phase and we assume that sea surface temperatures remain warmer than the long‐term average over the next several years. Results indicate that the average increase on landfall frequency is about 13 per cent.

This paper is the first paper that introduces the concept of landfall origination corridor. It spatially identifies the differences between long term and warm phase of the atmosphere in terms of US landfall occurrence using hurricane origination points.

Following a natural disaster the cleanup process usually takes place before reconstruction or rebuild can actually be implemented. Effectiveness of cleanup process determines the possible level of speed for implementing rebuild and reconstruction process. This paper aims to focus on providing guidelines to help plan for future natural disaster management.

This study analyses a cleanup process after Hurricane Katrina in terms of governing policy, implementing process, problems associated with process, priorities for cleanup, and politics.

The study finds policies governing the cleanup process, problems associated with the cleanup process, priorities areas in the cleanup work and politics of the disasters.

The research focuses only on three states where Hurricane Katrina hit, namely Alabama, Mississippi, and Louisiana.

This paper explains policies governing the cleanup, the process, the prioritized work areas, associated problems, and politics of disasters. The analyses of the study provide lessons which can be learned. They also provide grounds on which guidelines for effectively managing the cleanup process for future similar events can be generated and set.

This paper provides guidelines on the process and politics of cleanup, which can be applied to future comprehensive plans for cleanup process.

The purpose of this paper is to identify and describe the long-term impacts of hurricanes on schools and discuss approaches to improving recovery efforts.

Interviews with 20 school districts in Texas and North Carolina after Hurricanes Harvey (2017) and Matthew (2016). In total, 115 interviews were conducted with teachers, principals, district superintendents and representatives from state education agencies. Interview questions focused on the impact of storms and strategies for recovery.

The authors uncovered three long-term impacts of hurricanes on schools: (1) constrained instructional time, (2) increased social-emotional needs and (3) the need to support educators.

This paper focuses on two storms, in two states, in two successive years. Data collection occurred in Texas, one academic year after the storm. As compared to the North Carolina, data collection occurred almost two academic years after the storm.

This paper illuminates strategies for stakeholders to implement and expedite hurricane recovery through; (1) updating curricula plans, (2) providing long-term counselors and (3) supporting educators in and out of school.

To date, very few studies have explored the ways in which schools face long-term impacts following a disaster. This paper provides insight to the challenges that prolong the impacts of disasters and impede recovery in schools. With hurricanes and related disasters continuing to affect schooling communities, more research is needed to identify the best ways to support schools, months to years after an event.