Projects

Abstract: In our study, we utilized GIS to analyze hospital visitor data from January to June of 2019 and 2020, focusing on the impact of the initial COVID-19 wave. We found that while most demographic groups experienced shifts in visitor levels, American Indian and Pacific Islander groups sometimes showed no… read more 

Abstract: A growing body of research suggests that pedestrians and bicyclists are exposed to substantial levels of harmful air pollutants, including particulate matter and carbon monoxide, during their daily commutes. Disposable and cloth face masks are well-known personal interventions for pedestrian and bicyclist pollutant exposure. However, there is a lack… read more 

Abstract: Peer-to-peer ridesharing, as a new travel mode, could be a potential solution to two major transportation issues: congestion and air pollution by reducing inefficient driving and promoting public transit ridership. Uber, as one of the leader transport network company, launched in San Francisco in 2010 and expanded around the… read more 

Abstract Transportation Network Companies (TNCs) like Uber and Lyft have become popular forms of transportation in recent years. Researchers have worked to understand the qualitative impacts of these services, such as effects on the taxi industry, spatial and temporal distribution in cities, and effects on public transit; however, few studies… read more 

Abstract: Public transit has been proven as an affordable travel method, while the inequitable distribution is a rising concern among practitioners and researchers. A transit desert, based on the demand and supply concept in measuring the mismatch in allocating the level of public transit service, has proved its ability to… read more 

Abstract We used unique data from the 2016 Washington State Student Travel Survey combined with built environment data to first confirm the factors shown to influence children walking to and from school in previous literature. Walkability scores were then estimated for K-8 Washington state schools under different data availability scenarios.… read more 

Abstract The COVID-19 is a global pandemic and crisis of public health. Although studies investigate the spatial factors of COVID-19, most of them are based on the macro-level. There is a rising demand to examine the emerging patterns of socio-demographic and COVID-19, especially for preventing the second-peak of COVID-19 outbreaks.… read more 

Abstract The novel coronavirus (COVID-19) is currently being regarded worldwide as a global pandemic, with New York City as one of the epicenters. There is an emerging demand for precise investigation on this disease, specifically how to slow outbreaks and reopen responsibly. This paper explores and models the spatial factors… read more 

Abstract This paper investigates the COVID-19 transmission risk between different counties in the state of New York during the first month of the pandemic and makes contributions in two areas. First, using the publicly available COVID-19 case dataset in the state of New York, this study measures the COVID-19 outbreak… read more 

Abstract: This study explores the socioeconomic disparities observed in the early adoption of Electric Vehicles (EVs) in the United States. A multiagent deep reinforcement learning-based policy simulator was developed to address the disparities. The model, tested using data from Austin, Texas, indicates that neighborhoods with higher incomes and a predominantly… read more