Urban planning

Flooding disasters pose a significant threat worldwide, with 2022 seeing them as the most common type of disaster. In the U.S. alone, four flooding disasters in 2023 cost more than $9.2 billion. Coastal urban areas face increasing threats from flooding disasters due to rising sea levels, changing precipitation patterns, and intensifying extreme weather events. This study focuses on Central Beach, Fort Lauderdale; the area's unique geographical, environmental, historical, and socio-economic characteristics make it a prime candidate for this analysis. The research objective is to comprehensively examine the factors contributing to water-related vulnerabilities of developed properties in Central Beach and assess localized impacts using regional models. The methodology involves developing probabilistic flood maps using GIS tools and the Cascade 2001 routing model. The flood scenarios consider groundwater table rise, extreme rainfall, high tides, storm surge, and sea level rise. Results indicate significant inundation risks, particularly for commercial and mobility infrastructure, under storm surge and sea level rise scenarios. The analysis highlights the importance of targeted mitigation efforts to protect these areas and reinforce resilience against future flooding events. The findings contribute valuable insights for policymakers, urban planners, and stakeholders, emphasizing the need for comprehensive strategies to mitigate flood risks in coastal urban areas.

This study aims to address the unique challenges of transportation in rural and disconnected communities through innovative data-driven methodologies. The primary methods employed in this research involve Geographic Information Systems (GIS) tools and simulation techniques to model and assess the impact of flood zones on rural traffic dynamics. The study recognizes the distinct mobility patterns and limited infrastructure prevalent in rural areas, emphasizing the need for tailored solutions to manage flood-induced disruptions. By leveraging GIS tools, the study intends to spatially analyze existing transportation networks, population distribution, flood-prone areas, and key points of interest to formulate a comprehensive understanding of the local context. Simulation-based approaches using the PTV VISSIM platform will be employed to model and assess various flood scenarios and their effects on traffic flow and accessibility. This study’s outcomes aim to contribute valuable insights into improving accessibility, efficiency, and safety in transportation for these underserved areas during flood events. By combining GIS tools and simulation techniques, this research seeks to provide a robust framework for data-driven decision-making and policy formulation in the realm of rural and disconnected community mobility, particularly in the context of flood risks.

Walton County, Florida, a low-lying coastal region, is highly susceptible to flooding, sea level rise, and storm surges. These hazards disproportionately impact communities, with socially vulnerable populations being less likely to recover from disaster events. This study presents an integrated assessment of vulnerability to flooding, considering natural hazards such as a 1-day 100-year storm event, a 3-foot sea level rise scenario, and storm surge risk, combined with a social vulnerability analysis, aiming to identify the most socially vulnerable communities within Walton County's flood-prone areas. Additionally, the integrated analysis takes into consideration a priority of land use approach, identifying facilities that are critical or essential for an emergency response and recovery. The study also recommends a series of projects, including green, gray, and hybrid solutions, as well as policy changes to mitigate flood risks and enhance resilience within these communities.

As cities respond to accelerating climate impacts, scholars have identified climate gentrification as a phenomenon exerting displacement pressures on low-income communities, including ethnic enclaves. While climate gentrification pathways literature primarily addresses economic causes and effects, an opportunity exists to better understand policy contributions and social impacts surrounding resilience and displacement.
For this dissertation project, I expanded the concept of climate gentrification pathways to examine connections between displacement, resilience strategies, and urban planning. Using an interpretive approach, I explored how an ethnic enclave experienced and responded to displacement pressures, especially regarding social impacts related to (climate) gentrification. In addition, this project compared resilience and planning policies and strategies discourse with community discourse related to climate gentrification.

Urban heat islands present a significant public health threat for cities. A confluence of warming climate and increasing urbanization should exacerbate urban heat health risks since hotter temperatures result in heat-induced morbidity and mortality. Southeast Florida, the only region in the continental United States with a tropical climate, embodies these trends with a growing regional urban population and climbing heat index. Despite this growing threat, only a few studies have explored urban heat islands there, while urban heat vulnerability has been neglected as well. Thus, assessment of the contributing factors to increasing urban temperatures as well as identifying susceptible populations to UHI effects is imperative to mitigate environmental threats posed by heat islands.
Analysis was first conducted to understand regional heat island geospatial characteristics and intensity then correlation analysis performed to understand the influence of meteorological variables. Furthermore, the influence of land use orchestration and surface characteristics (e.g., imperviousness) was analyzed using a spatial regression process. Additionally, a composite index blending dimensions of physical exposure, sensitivity (socioeconomic, health), and adaptive capacity was constructed to gauge vulnerability from hotter temperatures associated with UHIs. Principal Component Analysis weighting was used to group and weight variables then an assessment conducted evaluating composite performance compared to alternative models.

Within the U.S. in recent decades a renewed interest in downtown and city living has become known as the “back-to-the-city movement” and contributed to the stabilization and regrowth of cities that were previously losing population. This trend, however, is not occurring equally and many cities within the U.S. that have been losing population for decades are still continuing to lose population (“shrinking city”). This study seeks to understand what sociodemographic and socioeconomic characteristics are contributing the greatest to the back-to-the-city movement and develop a composite index that can be used to identify if similar trends are beginning to emerge in shrinking cities. Variables identified through various literature for their association with back-to-the-city movement were analyzed through a proportion composition analysis comparing changes in growing versus non-growing census tracts at the city-wide and downtown level of 86 cities within this study. The analysis was conducted for the time periods of 1970 to 2017 and 1990 to 2017. The results justified variables for inclusion in back-to-the-city movement composite index, however, the analysis found some trends differed at the city-wide versus downtown geographic levels resulting in three potential index combinations. The three indices were calculated on census tracts for the 86 cities within this study and the results were decomposed to assess performance of individual variables. The results conclude that areas within some shrinking cities are exhibiting back-to-the-city movement trends, however, additional recommendations are provided for refining the index and methodology.