Matching Items (432)
Description
For this project, I use qualitative textual analysis to compare the differences and/or similarities between (1) how the former residents of Tempe’s historic San Pablo barrio (1872-1955) conveyed their sense of place, meaning, and displacement in oral and written histories and (2) how Tempe’s Anglo residents at the time of San Pablo’s occupation and dissolution conveyed their sense of the place, meaning, and displacement of San Pablo in newspaper articles. I have located my investigation of any perceived or lacking disparities between how these two groups perceived San Pablo’s place and meaning within the context of San Pablo’s dissolution and the displacement of its residents in the mid 1950s. As I follow the process through which some communities are able to suppress, take over, and erase others from dominant narratives and political decisions without any perceived consequences, I will bring to the foreground the emotional impact of place and displacement in order to highlight how the former residents of ‘erased’ communities make sense of and respond to their displacement.
ContributorsRoberson, Jessica Bridges (Author) / Michelaki, Konstantina-Eleni (Thesis director) / Toon, Richard (Committee member) / School of Human Evolution and Social Change (Contributor) / School of Social Transformation (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Urban centers worldwide face the escalating challenge of urban heat islands (UHIs), which exacerbate public health issues and energy consumption due to increased temperatures. This thesis focuses on the Phoenix metropolitan area, recognized for its high summer temperatures, to explore innovative computational strategies for mitigating urban heat through optimized tree placement. The research integrates high-fidelity microclimate modeling with advanced computational techniques to strategically position trees and enhance urban climate resilience. Utilizing the SOLWEIG and TreePlanter models, this study simulates the effects of tree planting on mean radiant temperature (MRT), crucial for thermal comfort in outdoor spaces. The models process geospatial data, including LiDAR and high-resolution thermal maps, to produce actionable insights for reducing urban temperatures. Results indicate that strategic tree planting significantly lowers MRT, enhancing urban livability and sustainability. This thesis contributes to urban planning by demonstrating how targeted greening interventions can alleviate the heat burden in cities, providing a replicable framework for other urban areas experiencing similar challenges.
ContributorsGarg, Shrey (Author) / Middel, Ariane (Thesis director) / Buo, Isaac (Committee member) / Barrett, The Honors College (Contributor)
Created2024-05