Y M Park
Biographic Data
| ID | 5519 |
|---|---|
| NAME | Y M Park |
| GIVEN NAMES | Y M |
| FAMILY NAME | Park |
| SIGNATURE | PARK Y M |
| AFFILIATIONS | East Carolina University |
| ORCID | 0000-0003-1860-4489 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 31 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Revisiting the Uncertain Geographic Context Problem: Expanding Its Scope to Include Indoor Geographic Contexts and Dynamics in Environmental Health and Social Science Research
Socioeconomic Disparities in the Usage of Urban Opportunities in South Korea During the Covid-19 Pandemic: Using Land Use/Land Cover and Mobile Phone Data
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of coronavirus disease 19 (COVID-19), has resulted in dramatic changes in human lifestyles and the geographic distribution of populations. However, despite the unequal impact of COVID-19 across urban spaces, research on the association between socioeconomic disparities in the usage of various types of urban amenities during the pandemic is limited. Thus, this study utilized m…
Food Swamp Versus Food Desert: Analysis of Geographic Disparities in Obesity and Diabetes in North Carolina Using GIS and Spatial Regression
This study examined how two different types of food environments—food deserts and food swamps—were associated with geographic disparities in obesity and diabetes in North Carolina using geographic information systems and spatial regression. To better identify the association between food swamps and health disparities, this study incorporated socioeconomic dimensions into the food swamp measure and considered dollar stores and gas stations with co…
Covid-19 Deaths in the United States: Shifts in Hot Spots over the Three Phases of the Pandemic and the Spatiotemporally Varying Impact of Pandemic Vulnerability
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 interventions. This study examines the spatiotemporal trends in COVID-19 death rates in the United …
A GPS-enabled portable air pollution sensor and web-mapping technologies for field-based learning in health geography
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 tools for health geography and the effectiveness for student learning. Focusing on air-sensing and web G…
Understanding Racial Disparities in Exposure to Traffic-Related Air Pollution: Considering the Spatiotemporal Dynamics of Population Distribution
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 unequal exposure to air pollution. Using travel-activity survey data containing individuals' activity lo…
Assessing personal exposure to traffic-related air pollution using individual travel-activity diary data and an on-road source air dispersion model
Beyond residential segregation: A spatiotemporal approach to examining multi-contextual segregation
Individual exposure estimates may be erroneous when spatiotemporal variability of air pollution and human mobility are ignored
Individual exposure estimates may be erroneous when spatiotemporal variability of air pollution and human mobility are ignored
Revisiting the Uncertain Geographic Context Problem: Expanding Its Scope to Include Indoor Geographic Contexts and Dynamics in Environmental Health and Social Science Research
A GPS-enabled portable air pollution sensor and web-mapping technologies for field-based learning in health geography
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 tools for health geography and the effectiveness for student learning. Focusing on air-sensing and web G…
Assessing personal exposure to traffic-related air pollution using individual travel-activity diary data and an on-road source air dispersion model
Individual exposure estimates may be erroneous when spatiotemporal variability of air pollution and human mobility are ignored
Beyond residential segregation: A spatiotemporal approach to examining multi-contextual segregation
Understanding Racial Disparities in Exposure to Traffic-Related Air Pollution: Considering the Spatiotemporal Dynamics of Population Distribution
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 unequal exposure to air pollution. Using travel-activity survey data containing individuals' activity lo…
Assessing personal exposure to traffic-related air pollution using individual travel-activity diary data and an on-road source air dispersion model
Covid-19 Deaths in the United States: Shifts in Hot Spots over the Three Phases of the Pandemic and the Spatiotemporally Varying Impact of Pandemic Vulnerability
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 interventions. This study examines the spatiotemporal trends in COVID-19 death rates in the United …
A GPS-enabled portable air pollution sensor and web-mapping technologies for field-based learning in health geography
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 tools for health geography and the effectiveness for student learning. Focusing on air-sensing and web G…
Socioeconomic Disparities in the Usage of Urban Opportunities in South Korea During the Covid-19 Pandemic: Using Land Use/Land Cover and Mobile Phone Data
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of coronavirus disease 19 (COVID-19), has resulted in dramatic changes in human lifestyles and the geographic distribution of populations. However, despite the unequal impact of COVID-19 across urban spaces, research on the association between socioeconomic disparities in the usage of various types of urban amenities during the pandemic is limited. Thus, this study utilized m…
Food Swamp Versus Food Desert: Analysis of Geographic Disparities in Obesity and Diabetes in North Carolina Using GIS and Spatial Regression
This study examined how two different types of food environments—food deserts and food swamps—were associated with geographic disparities in obesity and diabetes in North Carolina using geographic information systems and spatial regression. To better identify the association between food swamps and health disparities, this study incorporated socioeconomic dimensions into the food swamp measure and considered dollar stores and gas stations with co…
Revisiting the Uncertain Geographic Context Problem: Expanding Its Scope to Include Indoor Geographic Contexts and Dynamics in Environmental Health and Social Science Research
Geography (9 works) · Medicine (6 works) · Environmental health (5 works) · Urban Transport and Accessibility (5 works) · Computer Science (4 works) · Ecology (4 works) · Environmental Science (4 works) · Air pollution (3 works) · Air Quality and Health Impacts (3 works) · Environmental planning (3 works)