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
Projects
Relationship between socio-demographics and COVID-19: a case study in three Texas regions
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
Modeling the spatial factors of COVID-19 in New York City
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
Mapping the intercounty transmission risk of COVID-19 in New York State
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
Measurement of Regional Electric Vehicle Adoption Using Multiagent Deep Reinforcement Learning
Abstract:This study investigates socioeconomic disparities in the early adoption of Electric Vehicles (EVs) in the United States and proposes a solution using a multiagent deep reinforcement learning-based policy simulator. Testing this model with data from Austin, Texas, reveals that neighborhoods with higher incomes and predominantly White demographics lead in EV… read more
Hourly Associations between Heat Index and Heat-Related Emergency Medical Service (EMS) Calls in Austin-Travis County, Texas
Abstract: This paper aims to investigate the following research questions: (1) what are the hourly patterns of heat index and heat-related emergency medical service (EMS) incidents during summertime?; and (2) how do the lagged effects of heat intensity and hourly excess heat (HEH) vary by heat-related symptoms? Using the hourly… read more
Effects of urban environmental factors on heat-related emergency medical services (EMS) response time
Abstract: Due to the time-sensitive nature of heat-related illnesses, disparities in access to heat-related emergency medical services (EMS) services may contribute to urban health disparities. This paper is an empirical study utilizing Austin-Travis County EMS data to estimate the delays in response time due to traffic congestion through spatiotemporal analysis… read more
Is a Smart City Framework the Key to Disaster Resilience? A Systematic Review
Abstract Despite a growing body of research on the smart city framework for disaster resilience, a comprehensive systematic literature review from urban planning perspectives has never been attempted. In this review of smart and resilient cities, we distill vital learning and shared concepts, identify research trends and limitations, and suggest… read more
Evaluating the effects of heat vulnerability on heat-related emergency medical service incidents: Lessons from Austin, Texas
Abstract Extreme heat exposure and sensitivity have been a growing concern in urban regions as the effects of extreme heat pose a threat to public health, the water supply, and the infrastructure. Heatrelated illnesses demand an immediate Emergency Medical Service (EMS) response since they might result in death or serious… read more
Fire and Smoke Digital Twin – A computational framework for modeling fire incident outcomes
ABSTRACT Fires and burning are the chief causes of particulate matter (PM2.5), a key measurement of air quality in communities and cities worldwide. This work develops a live fire tracking platform to show active reported fires from over twenty cities in the U.S., as well as predict their smoke paths… read more