Because dynamic coastal processes and hazards threaten the resiliency of coastal communities throughout the United States, hazard mitigation and coastal management policies are constantly evolving. While various agencies throughout all levels of government have attempted to mitigate the impacts of coastal hazards, it is difficult for local communities to converge the separate requirements of state and federal agencies. Because there are many land use planning and hazard mitigation steps involved in building resiliency, this manuscript attempts to combine the hazard mitigation knowledge of a wide array of practitioners, researchers, and visionaries to develop a comprehensive land use model that integrates hazard mitigation practices into the planning and codes of beachfront communities. This model is meant to help local land use planners in beachfront communities throughout the United States determine if they are adequately integrating federal, state, and local hazard mitigation policies into local land use policy and practice. Three beachfront communities in South Carolina, including Hilton Head Island, Pawleys Island, and Surfside Beach, serve as case studies to test the hazard mitigation integration model. Each of these communities varies in population, growth, and geologic composition. Their local land use practices, coastal management policies, and conservation efforts vary as well. By evaluating the integration of hazard mitigation into local policies and codes, coastal communities will be able to use this model to identify gaps and weaknesses in the planning process that can be bridged to strengthen their community's hazard resiliency.
CHAPTER EIGHT CONCLUSIONS The research and analysis resulting from this
study indicates that land use planning is still evolving. The continuous
consistency problems that exist between federal policies makes it especially
important for ...
I entered the social arena to mandate Medicaid CASS through forty-four primary interviews with representatives of nine overlapping social worlds, many of whom had testified before Congress on this issue. Additionally, I used the texts of the eleven bills and other key documents to explore the social processes circulating in this arena.
Additionally, I used the texts of the eleven bills and other key documents to explore the social processes circulating in this arena.
3. Community Involvement in Forest Management in Eastern and Southern Africa
. Analysis of Policies and Institutions. 4. Whose Power? Whose Responsibilities?
An Analysis of Stakeholders in Community Involvement in Forest Management ...
Results gleaned from this study of 45 CHWs and 5 administrators demonstrate commonalities between El Paso County CHWs and the national CHW workforce; differences were found in average education level, wages for experienced CHWs, as well as primary target populace and target health issues. Future research should focus on cost-effectiveness of CHW utilization.
The site in which the study was conducted was typical of distressed inner city neighborhoods across our country; plagued with poverty and joblessness, crime and fear, dilapidated run-down buildings, social and family dissolution, and hopelessness and despair. Ninety-two percent of the study participants were Hispanic Americans and Mexican nationals who lived in a 76-unit apartment complex, consisting of 345 adult and juvenile residents.
Table 8 (continued) Corresponding Research Questions Source(s) of
Corresponding Data Analysis/Reporting Procedures Information Research
Question #1 (continued) summarized salient points that were coded using a
theme coding ...
The New York State Project Management Community of Practice provides a forum for the exchange of ideas, best practices, lessons learned, and other information among project managers in New York State governmental agencies.
In order to provide context and clarity to the design, several sections are
presented to explain Social Network Analysis (SNA), the role of this type of
analysis in studying communities of practice, and the software used to perform
this type of ...
This researcher analyzed the relationships among the learning-styles, achievement, age, gender, and geographic origin for first-year business students at a New York City community college. The participants were selected based on their enrollment in courses offered by the college's Accounting and Managerial Studies Department. Each completed the Building Excellence (BE) (Rundle & Dunn, 2000) survey online to determine their individual learning-style preferences.
Table 31 ANOVA - Factor Analysis Table 32 Tukey 's Test on Factor Scores Table
33. Sum of Squares Mean Square Factor score 1 For analysis 1 Between Groups
df F Sig. 6.745 2 3.372 3.398 .034 Within Groups 485.363 489 .993 Total ...
