This paper attempts to find new directions and solutions that for both planners and landscape architecture designers to consider new progress into the future city design. Cities and towns worldwide are facing similar problems of growing automobile use, suburban sprawl, pollution, and proliferating use of natural resources and energy. Our times offer an historic opportunity for society and designers to rethink where and how to make a better living environment. Sustainable lifestyle established on the principles of smart growth, new ecological urbanism, and green design strategies etc. It will not only reduce the harm on the environment, but also can vastly increase the quality of life of people.

Over the past two decades, underused shopping malls and big-box stores have become more prevalent in the landscape, even as newer ones are built. Shopping centers from the last half of the twentieth century may not have been designed to serve uses other than commercial, but that does not mean these buildings must or should only be thought of as single-use spaces. Projects from across the United States demonstrate that large, empty commercial structures can become municipal complexes, new town centers, mixed-use complexes, office buildings, churches, and gymnasiums. They also can be rehabilitated to fill the need for new schools in communities where there is no suitable or cheap land, limited funds, overcrowding, and growing enrollments. This thesis identifies twelve cases where public school districts have converted former shopping malls or big-box stores into schools and conducts histories on three of these cases. A detailed comparative analysis of three school conversion projects in Burnsville, Minnesota, Wake Forest, North Carolina, and Fort Myers, Florida is the foundation for the thesis research. By researching examples of retail conversion and assessing project history, this thesis determines common factors to these school projects and develops conclusions about relationships between school planning, growth management, and economic development. It develops a strong knowledge base that can be used to guide local governments interested in undertaking this type of initiative. Finally, the thesis demonstrates the importance of planning and building for future flexibility by underscoring the value of reusing the built form.

This study develops, analyzes, and a­­­­­pplies transit-system-specific regression tree models that identify and prioritize transit system improvements through analysis and application of ridership, Census, routing and scheduling, and transit stop characteristic data. Regression trees identify and rank independent variables that split dependent variable datasets into meaningful subsets according to significant relationships with independent variable datasets, and regression tree models can be used to identify and prioritize transit system improvements. In this study, ridership datatypes are the dependent variables (i.e., boardings and alightings) and Census, routing and scheduling, and transit stop characteristic datatypes are the independent variables. Data associated with the San Luis Obispo Regional Transit Authority (RTA) is the basis of this study. The literature review for this study identified no other studies that use regression trees to identify and/or prioritize transit system improvements. The analysis method herein can help identify and prioritize improvements to any transit system. The findings of this study may be applicable to other transit systems if assumptions can be made about the similarity of other systems to the San Luis Obispo Regional Transit Authority system. Relationships between transit ridership and independent variables that may be effective predictors of transit ridership are evaluated in this study. Traditional independent variables used to forecast transit ridership include population and employment densities, land use types, income distributions, service frequencies, and transit stop accessibility; other independent variables that may be significant predictors of transit ridership include transit stop amenities, characteristics, and connecting and nearby infrastructure. Ridership data needed for the analysis presented in this study can be obtained from transit agencies. Census data needed for the analysis presented in this study is available through the United States Census Bureau. Routing and scheduling data needed for the analysis presented in this study can be extracted from local transit system schedules. Transit stop characteristic data needed for the analysis presented in this study can be gathered by using a survey instrument during field-visits. The regression tree models developed in this study show a positive relationship in the RTA system between transit ridership and population density (specifically Asian and twenty to twenty-four years old residential population densities), the number of trips serving transit stops, and transit stop characteristics (specifically the presence of a trash can). According to these findings, this study offers recommendations for improvements to RTA’s transit system and marketing and planning strategies. More general conclusions that could be applicable to more transit systems could be drawn if the analysis method used in this study were performed with more and/or larger datasets (e.g., other transit agency, regional, statewide, national, and/or global datasets) comprised of more robust, accurate, and precise datatypes, and this concept is the basis for the future work recommended by this study.

This thesis examines issues of affordability and gentrification in neighborhoods around the Atlanta BeltLine. The BeltLine is a Transit Oriented Development project that is an adaptive reuse of an old freight rail corridor circling the city of Atlanta. The rapid new development occurring along the BeltLine is gentrifying neighborhoods and displacing communities. This thesis examines past urban redevelopment projects in Atlanta to see what the affects were on marginalized communities, and how the BeltLine is either similar or different to past development initiatives.

New software and technology is making it easier than ever before for public transportation planners to evaluate how quickly residents can reach jobs and other destinations. Because in the past it was difficult to measure access to opportunities, these concepts remained primarily in the theoretical and academic realms of research. This thesis reviews methods that could be used to evaluate routine bus service improvements and performs a comparative analysis of different methods in the context of New Orleans. There are many different variables in how the analysis could be performed, but this thesis focuses on the role that time of day plays in analyzing service changes. The results show that accessibility can be a very useful metric to evaluate the effectiveness of transit service changes. It goes on to explore techniques that could assist transit planners and schedulers to identify service gaps and prioritize service changes.

Measured by the level of transportation safety, the Commonwealth of Virginia stands out from all the States because despite increased need for mobility, it manages to maintain its safety indices at exceptionally good levels. In many respects we can attribute this success to the comprehensive Strategic Highway Safety Plan of Virginia (SHSP), which is, as concluded from the analysis of its analogues, among the best in the US. The programs and policies described in this document embrace all aspects of transportation safety and create a harmonious system. To assess the effectiveness of the SHSP, this thesis used correlation and regression analysis based on statistical data from the years 2004 – 2011 in Virginia Department of Transportation (VDOT), and Virginia Department of Motor Vehicles (DMV) documents. The performed calculations showed very positive trends with gradual reduction, in crash and death rates. It was also found that citizens would use private vehicles more often in the future without making conditions worse on the highways. Instead, drivers tend to be more careful and responsible. Analysis also reveals a rising level of drunken driving incidents, a finding substantiated by literature review, chiefly planning reports and economic analysis. The current transportation policy I does not adequately address this issue. The correlation between allocation of funds and performance indicators showed it would be more effective to invest in research projects on safety rather than in “safety” itself (i.e. construction of roads). Unfortunately, in difficult times, governments usually cut research projects. Finally, Virginia is on the verge of a new transportation era, when the structure of driving cohorts will change, and decisions about building new highways will have to be balanced between technical and ecological considerations.

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No description available.

My thesis project is to create a conservation plan for the Reservoir Canyon Natural Reserve (RCNR) in San Luis Obispo, California. It is a professional project for the City of San Luis Obispo with the goal of eventual adoption by the City Council. The plan was motivated by City policy, which advises creating conservation plans for open spaces, and by a particular need to address management issues in RCNR that include plant and wildlife conservation, trail access, erosion, electrical utility easements, and other legal matters. The project consists of two main components: the conservation plan and a companion paper. The paper is an overview of the theory and best practices involved in conservation planning, and is meant to be complementary to the conservation plan. Therefore, discussions found in the paper are not present in the plan itself, but instead serve as background. The paper consists primarily of a literature review and my reflections on how the literature applies to the process of planning and managing RCNR. The Draft Reservoir Canyon Natural Reserve Conservation Plan, attached as an appendix, explains the conditions of the reserve, and describes the goals and management strategies the City will employ.

Greyfield Development in Vallejo, California: Opportunities, Constraints, and Alternatives is a Project that determined that the regulatory framework and presence of underutilized commercial land make Vallejo, California the ideal community to facilitate Greyfield Development. The Project reviewed existing literature, determining that there are a number of causes for the proliferation of Greyfields, revitalization practices, and communities that have facilitated redevelopment. The Background Report analyzed existing conditions and illustrated that Vallejo contains several policies and programs that call for the redevelopment of underutilized commercial land. The Greyfield Study identified Springstowne Center, CVS Center, and Meadows Plaza as shopping centers that exemplify signs of maturation and/or decline. The Greyfield Study determined that Meadows Plaza experienced the most decline out of the three shopping centers based on the amount of vacant square footage through fieldwork and document analysis. The Project presented three conceptual alternatives that could spur revitalization of Meadows Plaza: (1) Adaptive Reuse; (2) Residential Development; and (3) Mixed-Use and Residential Development. The Project concludes by recommending that Vallejo implement the Underutilized Commercial Land Conversion Program as outlined in the Housing Element of the Vallejo General Plan as a way to redevelop underperforming sites like Meadows Plaza and facilitate greater community revitalization.