Abstract: Transit deserts can result from the inequitable distribution of resources and services, and people living in transit deserts have limited access to transportation system. The aim of this study was to perform spatiotemporal data analysis to identify transit desert areas in Seoul in three steps. First, the transit gap… read more
Projects
Exploring Spatial Heterogeneity of E-scooter’s Relationship with Ridesourcing using Explainable Machine Learning
Abstract The expansion of e-scooter sharing system has led to several novel interactions within the existing transportation system. Although there is a potential for e-scooter sharing and ridesourcing to both compete and complement each other, few studies shed light on the relationship between e-scooter sharing and ridesourcing. To fill this… read more
How the single-family residence housing market capitalizes green property upgraded features: evidence from city of Austin
Abstract Purpose – By comparing regression models, this study aims to analyze the added home value of green sustainability features and green efficiency characteristics, rather than green certifications, in the city of Austin. Design/methodology/approach – The adoption of home green energy efficiency upgrades has emerged as a new trend in… read more
What Are the Relationships between Public Transit and Gentrification Progress? An Empirical Study in the New York–Northern New Jersey–Long Island Areas
Abstract: Transit-oriented development has been a widely accepted tool among transportation planning practitioners; however, there are concerns about the risk of increasing residential property values leading to gentrification or displacements. Therefore, it is critical to provide precise investigations of the relationships between public transit and gentrification. Although numerous studies have… read more
The relationship between E-scooter travels and daily leisure activities in Austin, Texas
Abstract: Shared micromobility programs, including dockless electric scooter-share (E-scooter), are popular in many U.S. cities, and with their adoption brings the hope that they may uphold better car-free accessibility. However, few studies provide clear answers to what activities drive its travel demand or whether it could actually generate more visiting… read more
Exploring temporal varying demographic and economic disparities in COVID-19 infections in four U.S. areas: based on OLS, GWR, and random forest models
Abstract: Although studies have previously investigated the spatial factors of COVID-19, most of them were conducted at a low resolution and chose to limit their study areas to high-density urbanized regions. Hence, this study aims to investigate the economic-demographic disparities in COVID-19 infections and their spatial-temporal patterns in areas with… read more
Disparities in affecting factors of housing price: A machine learning approach to the effects of housing status, public transit, and density factors on single-family housing price
Abstract: Profound insights have been gained into which characteristics determine housing prices. These characteristics reflect two different aspects: those which are correlated with the dwelling itself and those which are correlated with the location and the surrounding area. However, few studies precisely looked at the disparities and heterogeneity in these… read more
Examining the COVID-19 effects on travel behavior using smart IoT sensors: A case study of smart city planning in Gangnam, Seoul
Study Area Abstract: The application of IoT in cities is a critical component in constructing a smart city. Seoul Metropolitan Government began installing IoT sensors known collectively as S-DoT in 2019. S-DoT collects real-time climate and floating population data. This study aims to introduce a smart city planning application in Seoul, to validate the S-DoT application, and to suggest a research framework… read more
A Digital Twin for Austin
Announcing the Austin Digital Twin: A Revolutionary Leap in Urban Management and Public Safety We are thrilled to announce the launch of the Austin Digital Twin, a groundbreaking initiative aimed at transforming how cities are managed and safeguarded. Developed through a collaborative effort between the University of Texas Urban Information… read more
ComputeGPT
ComputeGPT is a computational chat model that accurately answers math and science problems. It outperforms GPT-4 with Internet (Bing), GPT-3.5 (ChatGPT), GPT-3, and Wolfram Alpha NLP, scoring 98% across a suite of numerical problems that Bing AI could only answer at 64% and Wolfram Alpha NLP at 56%. One of… read more
