Abstract: Research on summertime extreme heat patterns and their link to heat-related Emergency Medical Services (EMS) incidents remains limited, despite rising concerns about heat waves and their health impacts. This study explores spatiotemporal patterns of the heat index (HI) and its relationship to heat-related EMS incidents in Austin-Travis County, Texas,… read more 

Abstract: This study compares the abilities of two AI chatbots, OpenAI ChatGPT and Google Bard, to understand urban environments, inspired by Kevin Lynch’s “Image of the City.” We examined their grasp of city landmarks, navigation, and spatial perception. ChatGPT offered factual, generalized responses, while Google Bard provided detailed, immersive answers… read more 

Abstract: This study investigates the potential of AI tools, GPT-4 and DALL-E, in generating sustainable urban design concepts addressing key issues like urban heat islands, walkability, and green spaces. Through a systematic methodology, the study demonstrates the ability of these tools to generate novel ideas, while also revealing limitations in… read more 

Abstract: The COVID-19 pandemic has affected rental housing prices, but previous research lacks comprehensive data across different residential categories. This study fills that gap by analyzing 48 months of closed rental listings from the Austin region’s Multiple Listing Service. It examines the pandemic’s impact on four types of residential properties,… read more 

Abstract: This dissertation addresses limitations in existing affordability frameworks, proposing an expandable framework to incorporate critical components like health costs. Focusing on Los Angeles County, it examines the impacts of public transit on location affordability, emphasizing accessibility factors and socio-demographic influences on property values. The study validates public transit’s role… read more