Projects

Abstract: Transit deserts are areas where transit demand exceeds supply. This study not only identifies these regions but also proposes actionable solutions using a multi-class supervised machine learning framework. Focusing on peak times and gender differences in demand, the study evaluated several models and selected the Random Forest method. Key… read more 

Abstract: Transportation electrification is promoted for its environmental benefits, but EV adoption shows complex patterns influenced by race and income disparities. Recent studies often overlook regional ownership variations and urban form measures. This study uses actual EV registration data with spatial analyses, revealing an East–West divide in Austin. West Austin… read more 

Abstract: This study investigates the patterns of extreme heat during summers and their link to heat-related Emergency Medical Services (EMS) incidents in Austin-Travis County, Texas, focusing on 2020 and 2021. Analyzing 47,838 heat-related EMS cases, the research identifies significant correlations between high heat index (HI) frequency/intensity and increased EMS incidents,… read more 

Abstract: Anthropogenic climate change has increased fire frequency and intensity, yet urban fire vulnerability is under-researched. This study identifies fire vulnerability patterns, maps high-risk areas with limited access to fire stations and hospitals, and determines factors contributing to increased fire incidents. A fire vulnerability index was developed using health and… read more 

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 

Abstract: This research examines the spatial patterns of transit systems and commuter flows in the Wuhan Metropolitan Area, China, using Baidu users’ location data. It identifies transit deserts that particularly affect low-income commuters. The study reveals several key findings: Firstly, most transit demand originates from trips between neighboring communities, while… read more