About the event: The Smart Mobility and AI Symposium will be a day-long gathering of UT students and interdisciplinary professionals across academia and industry to inform, examine, and discuss how Autonomous Vehicles (AV), Electric Vehicles (EV), and Artificial Intelligence (AI) impact transportation system and urban climate. This symposium aims to… read more
Welcome to join UIL, Ahyoung!
We are excited to introduce Ahyoung Chang, the newest Ph.D. student in the Community and Regional Planning (CRP) program at the University of Texas at Austin. We are pleased to welcome her to our lab! Ahyoung specializes in urban informatics, urban form, the built environment, walkability, and livability. Her research… read more
The Smart Mobility & AI Symposium will be hosted on August 16th at UT
The Smart Mobility & AI Symposium will be hosted on August 16th at the Engineering Education and Research Center (2501 Speedway, Austin, TX 78712). About the Event The Smart Mobility and AI Symposium will be a day-long gathering of UT students and interdisciplinary professionals across academia and industry to inform,… read more
AI Tackles Transit Deserts: New Interactive Dashboard Featured in PLOS ONE
UIL’s latest research project, “Developing a Transit Desert Interactive Dashboard: Supervised Modeling for Forecasting Transit Deserts,” was recently published in the journal PLOS ONE. In an exciting development, the Urban Info Lab (UIL) has published a groundbreaking study in the prestigious journal PLOS ONE. Titled “Developing a Transit Desert Interactive… read more
Developing a transit desert interactive dashboard: Supervised modeling for forecasting transit deserts
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
Uncovering electric vehicle ownership disparities using K‑means clustering analysis: A case study of Austin, Texas
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
Spatio-temporal patterns of heat index and heat-related Emergency Medical Services (EMS)
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
Evaluating urban fire vulnerability and accessibility to fire stations and hospitals in Austin, Texas
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
Celebrating UIL Team Member Akhil Mandalapu’s Acceptance to Harvard Medical School
We are thrilled to announce that Akhil Mandalapu, our esteemed undergraduate research assistant alumnus, has been accepted to Harvard Medical School. He will embark on this exciting journey to become a medical doctor starting in August 2024. Profile: Akhil graduated with a bachelor’s degree in Public Health from the University… read more
UT President’s Award for Global Learning
– The Sustainable and Resilient Smart City in Japan – Nagoya University AiCT with Dr. Yatabe Hokkaido University with Prof. Sato Kyoto University Osaka University Tsukuba University with Prof. Van and Prof. Hiroyuki
