Planning

The world currently has more people living in cities than in rural areas. In the United States this is no exception, and as a result government policy is focusing on the supply of 'green' jobs that help repair and expand its infrastructure in an attempt to help curb non-renewable resource use. The expansion of public transportation throughout the country is one facet of the multi-pronged US government policy. In the tri-county area of South Florida (Palm Beach County, Broward County, and Miami-Dade County) a research study known as the South Florida East Coast Corridor Transit Analysis (SFECCTA) entered Phase 2 in January 2009. This study looks at incorporating the FEC freight corridor which transverses the downtown areas of 47 cities into a major North- South commuter system. This system would also supplement the existing commuter Tri- Rail corridor. The proposed methodology in this manuscript attempts to address the issue of providing an adaptable, efficient and convenient public transportation in a low to medium density environment where the automobile is the preferred mode of travel. Emphasis is placed on connecting existing origin and destination locations in and around the greater West Palm Beach metropolitan area in Palm Beach County, FL. The goal of the methodology is to establish potential routes that will connect high amounts of residence to places of social interaction, consumption, employment, and the proposed SFECCTA regional transportation system with Light Rail Transit as the end goal. As a result the proposed corridors focus on creating dedicated and shared right of ways that already exist via the road network. The discussion and conclusion provide methodology successes, improvements, and economic development recommendations.

Ports and container terminals have very complex and dynamic operations. Effective and efficient berth schedules are essential for profitable and sustainable operations. This research studies berth scheduling under uncertainties in arrival and handling times. Port operators usually face challenges in the development of berth schedules. This thesis presents a model formulation of discrete berth space that accounts for uncertainty in arrival and handling times. The problem is reformulated as a biobjective bi-level optimization berth scheduling problem. A solution approach is presented using evolutionary algorithms and heuristics. The objective of the formulation is to provide a robust berth schedule by minimizing the average and the range of the total service times for all vessels served at the terminal. Simulation is utilized to evaluate the proposed berth scheduling policy and compare it to two first-come-first-served policies. Results showed that the proposed berth schedules outperform under high congestion.

Catastrophic event emergency planning has emerged as one of the most important operations management areas. Much of the successes of a response plan rely on the ability to maintain an operating transportation infrastructure. In recent years urban areas have become susceptible to biological terrorist attacks due to their size and demographics. To mitigate the devastating effects of an attack, a comprehensive catastrophic event response plan is devised. The characteristics of the disease (dormant periods, signs/symptoms), daily traffic operations and trip distributions, patient-choice hospital modeling and emergency center corridor optimization are all elements of an effective response plan. Simulation and optimization modeling of this plan becomes a faster-than-real-time tool in replicating urban area degradation. Therefore, allowing planners to identify "worst case scenarios" within the network and implement Dynamic Traffic Assignment (DTA) techniques and a non-linear departure time slot allocation mathematical model ensuring infected populations receive treatment and/or vaccinations efficiently.

Disasters are unavoidable. The United States separates the phases of addressing a disaster into Response and Recovery. There are systems in place for Response; but Recovery, a fundamental process for countries to rebound from disasters, is a topic that is left aside. Recently the U.S. released a framework regarding this topic and it is the intention of this work to further explore recovery by starting a modeling process for disaster management systems by developing a Disaster Recovery Roles Pattern based on the framework and creating flowcharts using the Business Process Modeling Notation for use in future development of systems for the recovery process.

The use of wireless sensor networks for a myriad of applications is increasing. They can be used in healthcare for emergency management. In Florida, hurricanes are the main source of natural disasters. There has been a high incidence of hurricanes over the past decade. When a hurricane warning is issued it is important that people who live in potentially dangerous areas, such as along the coast, evacuate for their safety. Nursing homes and other care facilities for elderly or disabled people experience difficulty with the evacuation as their residents require additional assistance. The characteristics and challenges of a hurricane evacuation are investigated. A patient-centric hurricane evacuation management system is proposed to allow healthcare providers the ability to continuously monitor and track patients. During a hurricane there are usually scarce energy resources and a loss of basic communication services such as cellular service and Internet access. We propose the architecture of the system that allows it to operate in the absence of these services. The hardware and software architectures are also presented along with the main phases of operation. The system was then validated and the performance evaluated via simulation using the OPNET Modeler.

This dissertation explores how local government policies affect pre-and postdisaster business resilience, in the context of institutional and neo-institutional frameworks. The study builds on past research on business vulnerability and resilience to examine government policies in the pre-disaster and response and recovery periods, and explore how government responses of varying types can contribute to different outcomes for local small businesses in the recovery period following hurricane disasters. The project examines two cases surrounding events in 2005 and their impact on business resilience: Hurricane Katrina and its effects on the New Orleans metropolitan area; and Palm Beach County's experience with Hurricane Wilma. The dissertation involves a mixed-method approach to the subject matter. The statistical analysis portion uses multiple regression analysis of surveys of government-registered business owners in the affected areas. Business resilience is examined in light of the p redictive power of the size of the disaster; the influence of the institutional policies in public procurement, and vii economic development through small business programs; the role of institutional culture; and finally business vulnerability. The interview portion involves interviews with public officials, and coding and analysis of the field texts of these discussions, for additional information about the role that institutions play in the resilience of businesses before and after disaster. The statistical results suggest that institutional culture; size of disaster, institutional policies (particularly in procurement practices), and vulnerability can play a role in determining the resilience of a local business community.

The purpose of this study was to explore and describe the pre-disaster planning processes and practices used by Florida's community college administrators as of December 2008. FEMA's Building a Disaster Resistant University (DRU) model was the conceptual lens for this study. A mixed methods research design included 15 surveys completed by Florida community college business officers and six semi-structured interviews with staff most involved in pre-disaster planning. Data were compared to DRU guidelines to establish whether processes and practices were congruent with the DRU. Six quantitative findings were reported in this study. First, 5 of 14 (35.7%) survey respondents appointed a project manager ; second, 14 of 15 respondents (93.3%) conducted a risk assessment ; third, 13 of 15 (87%) respondents reported contacting 2 to14 stakeholders; fourth, 14 of 15 (93.3%) survey respondents conducted an inventory of buildings and infrastructure assets; fifth, majority of survey respondents ( 87.7%) reported they identified mitigation goals and objectives; sixth, 8 of 14 (57.1%) respondents' president formally adopted the pre-disaster mitigation plan.