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
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
UIL@2024TRB
Recently, UIL student Yefu Chen and Postdoc Dr. Yiming Xu, as well as lab leader Dr. Junfeng Jiao went to the Transportation Research Board annual meeting in D.C.! Check out some pictures they took while there.
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
Merry Christmas and Happy New Year from Urban Information Lab
As Christmas and New Year’s Eve draw near, the Urban Information Lab extends its heartfelt gratitude for your collaboration and care. We wish each one of you a wonderful and restful winter break. Happy Holidays!
