Yoo Min Park

Yoo Min Park
East Carolina University | ECU · Department of Geography

Doctor of Philosophy

About

13
Publications
3,204
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299
Citations
Additional affiliations
August 2014 - May 2019
University of Illinois, Urbana-Champaign
Position
  • PhD

Publications

Publications (13)
Article
Full-text available
Many environmental justice studies have sought to examine the effect of residential segregation on unequal exposure to environmental factors among different social groups, but little is known about how segregation in non-residential contexts affects such disparity. Based on a review of the relevant literature, this paper discusses the limitations o...
Article
https://doi.org/10.1016/j.compenvurbsys.2018.05.001 Highlights • We propose a new term, multi-contextual segregation, to define segregation in various space-time contexts in daily life. • We develop a spatiotemporal measure of multi-contextual segregation solving methodological problems in traditional methods. • We visualize the temporal variation...
Article
Full-text available
The rapid evolution of air sensor technologies has offered enormous opportunities for community-engaged research by enabling citizens to monitor the air quality at any time and location. However, many low-cost portable sensors do not provide sufficient accuracy or are designed only for technically capable individuals by requiring pairing with smart...
Article
Full-text available
The geographic areas most impacted by COVID-19 may not remain static because public health measures/behaviors change dynamically, and the impacts of pandemic vulnerability also may vary geographically and temporally. The nature of the pandemic makes spatiotemporal methods essential to understanding the distribution of COVID-19 deaths and developing...
Article
Full-text available
Background: The initial limited supply of COVID-19 vaccine in the U.S. presented significant allocation, distribution, and delivery challenges. Information that can assist health officials, hospital administrators and other decision makers with readily identifying who and where to target vaccine resources and efforts can improve public health resp...
Article
Full-text available
Low-cost optical particle counters effectively measure particulate matter (PM) mass concentrations once calibrated. Sensor calibration can be established by deriving a linear regression model by performing side-by-side measurements with a reference instrument. However, calibration differences between environmental and occupational settings have not...
Article
Full-text available
The effects of environmental exposure on human health have been widely explored by scholars in health geography for decades. However, recent advances in geospatial technologies, especially the development of mobile approaches to collecting real-time and high-resolution individual data, have enabled sophisticated methods for assessing people’s envir...
Article
Full-text available
Geographic technologies and perspectives are important for understanding health issues because places and locations influence human health and diseases. Despite the increasing use of a geographic information system (GIS) in health research, and the explosion of new and emerging technologies, little is known about their potential as educational tool...
Article
Full-text available
This study investigates the effect of spatiotemporal distributions of racial groups on disparities in exposure to traffic-related air pollution by considering people's daily movement patterns. Due to human mobility, a residential neighborhood does not fully represent the true geographic context in which people experience racial segregation and uneq...
Article
Full-text available
This study aims to suggest an approach that integrates multilevel models and eigenvector spatial filtering methods and apply it to a case study of self-rated health status in South Korea. In many previous health-related studies, multilevel models and single-level spatial regression are used separately. However, the two methods should be used in con...

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Projects

Projects (3)
Project
Sensor calibration, performance evaluation, and validation using reference instruments. Measuring changes in awareness and behaviors among underrepresented communities
Project
Research Grant: NSF Doctoral Dissertation Research Improvement Grant (Award Number: 1735295) https://www.nsf.gov/awardsearch/showAward?AWD_ID=1735295 Role: Co-Principal Investigator (PI: Mei-Po Kwan) Project Period: Jul 2017 – Dec 2018 Abstract: This dissertation research project examines how racial/ethnic segregation impacts the unequal exposure to air pollution by considering various spatial and temporal contexts in which individuals experience segregation and environmental exposure. The doctoral student develops an individual-level spatiotemporal measure of segregation that incorporates the full spectrum of segregation in multiple daily life contexts (e.g., home, workplace, and leisure activity locations) and uses the measure together with a method for assessing personal exposure to air pollution at a high spatiotemporal resolution. This new fine-grained approach enables investigators to more reliably examine the association between segregation and the disparity in exposure to air pollution because it can address several methodological problems in previous studies that were residence- and place-based (e.g., uncertain geographic context problem; modifiable areal unit problem). Moving beyond simplistic understandings based solely on residential segregation, this research project will yield new insights into how the disparities in environmental exposures are shaped through complex socio-spatial processes and how non-residential segregation contributes to those disparities. The findings will provide more nuanced knowledge for future policy recommendations by emphasizing the need for policies for improving the daily mobility of racial minorities. The findings will also help promote general awareness and understanding of the unfair burdens of air pollution and the urgent need to address such disparities. This new knowledge will contribute to a more inclusive and comprehensive participation in policy-making and engagement in a constructive dialogue about environmental justice and a wider range of social disparity issues stemming from segregation.