Seungil Yum
Biographic Data
| ID | 311741 |
|---|---|
| NAME | Seungil Yum |
| GIVEN NAMES | Seungil |
| FAMILY NAME | Yum |
| SIGNATURE | YUM S |
| AFFILIATIONS | University of Florida |
| ORCID | 0000-0002-4407-2992 |
| VERIFIED | Yes |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 19 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Sociodemographic Characteristics, Government Trust, and Citizen Satisfaction in Post-Covid-19 South Korea
This research explores how sociodemographic characteristics, COVID-19 , and government factors influence citizen satisfaction in post- COVID-19 South Korea, using hierarchical linear regression analysis. The findings reveal that trust in the national government (0.081) and political parties (0.081), along with demographic variables such as age (0.074), income (0.064), and residence in urban areas (-0.163), are key predictors of perceived quality …
How Can Fertility Be Increased in the Global Low-Fertility Era? Evidence from South Korea
While prior studies have primarily focused on individual or economic determinants of fertility, this study demonstrates that individual, urban, and government factors play distinct roles in shaping thoughts on children, the number of children, and future plans for additional children. Using data from the 2020 Quality of Life Survey of the Residents of Gyeonggi Province, South Korea, this study employs hierarchical linear regression and a binomial…
Understanding mental health dimensions through socio-demographic, policy and urban planning frameworks
Purpose This study aims to examine how socio-demographic, public policy and urban planning conditions jointly shape multiple dimensions of mental health in the USA. Design/methodology/approach This study uses hierarchical linear regression analysis. Findings Policy and urban-contextual factors are strongly associated with emotional distress, although their effects vary across mental health dimensions. Specifically, government efforts aimed at hel…
Different travel behavior between low-income and high-income minority groups
How Do Governments Play an Important Role in Subjective Well-Being
This study highlights how governments play an important role in happiness, life satisfaction, and the value of people’s life in South Korea by employing the Hierarchical Linear Regression. This study finds that government integrity and the satisfaction of politics play a positive role in happiness (0.028 and 0.075, respectively). Second, the satisfaction of politics plays a positive role in life satisfaction (0.112). Third, government factors do …
The Association among Sociodemographic, Mental, and Urban Factors, and Life Satisfaction of Seoul Citizens in South Korea
This study highlights how sociodemographic, mental, and urban factors play a significant role in the life satisfaction of Seoul citizens in South Korea by employing hierarchical linear regression. The study finds that first, most urban factors play a significant role in all life satisfaction categories, with at least six out of eight urban factors exert a significant impact. Second, depression, anxiety, and loneliness have a negative effect on al…
Social Networks for Covid-19 Across Africa
This study sheds new light on understanding COVID-19 response in South Africa, Nigeria, Ghana, Kenya, Zambia, and Zimbabwe by employing social network analysis for Twitter. This study finds that African countries have different social networks for COVID-19. For instance, news media play an important role in South Africa, governmental key players exert a significant impact on Nigeria, and African key players play a significant role in Ghana. The M…
Social Networks of Covid-19 in South Korea
This study explores social networks of COVID-19 in South Korea according to a multitude of geographical scales, regions, and topics. This study finds that key players play a different role in social networks according to the national level, regional level, and topic level. For example, politicians play the most important role in communications of COVID-19 in the South Korea networks, whereas no politicians exert a significant impact on the Shinch…
Republican networks vs. democratic networks for Covid-19
This study explores how US political parties have social networks for COVID-19 to cope with the pandemic by employing social network analysis for Twitter. This study finds that people have their social networks for COVID-19 with the Republican Party more than the Democratic Party. Second, the Republican Party mostly has their social networks with the Republican politicians, whereas the Democratic Party has them with various key players, such as D…
Republican networks vs Democratic networks for Covid-19
This study explores how US political parties have social networks for COVID-19 to cope with the pandemic by employing social network analysis for Twitter. This study finds that people have their social networks for COVID-19 with the Republican Party more than the Democratic Party. Second, the Republican Party mostly has their social networks with the Republican politicians, whereas the Democratic Party has them with various key players, such as D…
Spatial response and power law distribution according to Winter storm Jonas
Social networks and spatial-temporal analyses for winter storm Jupiter in the US in 2017
Different Characteristics of Social Networks for Covid-19 in Europe
This study sheds new light on the different characteristics of social networks for COVID-19 in European regions. This study explores six countries (the United Kingdom, Spain, Italy, Germany, France, and Sweden) by employing social network analysis for Twitter. First, this study finds that European countries show different characteristics for social networks with regard to COVID-19. For example, the UK has only national key players, France shows a…
Spatial autocorrelation between human responses and Winter storm Grayson
This study explores the relationship between Winter storm Grayson and human responses in the US by considering a multitude of periods, regions, socio‐demographic variables and spatial autocorrelation for the number of tweets. This study suggests that the proportion of tweets is highly concentrated in the north‐east region, which is the most damaged region in the winter storm week. Second, there is significant spatial autocorrelation for the numbe…
How Can We Measure the Magnitude of Creative Cities? A New Creativity Index
There is some doubt about the effect of creative class on economic development. There is also concern that the 3Ts index (Talent, Technology, and Tolerance) does not take into account two of the most important elements of creativity into its index: creative infrastructure and culture. The present study proposed a new creativity index called 3Ci (Creative class, Creative infrastructure, and Culture) and explored how they played an important role i…
The relationship between creative industries and the urban economy in the USA
This study presents a new CQ (cluster quotient) and 3Q (quality and quantity quotient) index to find the magnitude and type of creative clusters and highlights the relationship between creative industries and the urban economy. This study finds that California, MD is the creative cluster and California and Colorado play an important role in the creative industries across the USA. This study also finds that there is a significantly strong relation…
How Are Cultural Industries Associated with Regional Innovation Systems
This study highlights the interaction between cultural industries and regional innovation systems in the U.S. Metropolitan Statistical Areas (MSAs) in 2014–2015. This study finds that California plays an important role in cultural industries. Second, this study highlights that three MSAs (Los Angeles, CA; Providence, RI; and New York, NY) exhibit the most advanced cultural type, whereas thirty-three MSAs, such as Battle Creek, MI; Rome, GA; and W…
Social Network Analysis for Coronavirus (Covid‐19) in the United States
Objectives: This study explores how public key players play an important role in social networks for coronavirus (COVID-19). Methods: This study employs social network analyses based on 2,864 Twitter users and 2,775 communications of Twitter. Results: This study finds that President Trump plays the most important role in social networks among the top 20 key players for both in-degree centrality and content in tweets. Second, Donald Trump and Bara…
The economic growth of creative industries in the Miami metropolitan area
Creative industries are at the core of the twenty-first century's economy. Most developed countries recognise the importance of creative industries and have studied those industries to strategise their national development. This paper shows the effect of creative industries on urban economy through a case study of Miami metropolitan areas. This study uses a panel analysis to measure the relation between creative industries and urban economy. The …
Social Network Analysis for Coronavirus (Covid‐19) in the United States
Objectives: This study explores how public key players play an important role in social networks for coronavirus (COVID-19). Methods: This study employs social network analyses based on 2,864 Twitter users and 2,775 communications of Twitter. Results: This study finds that President Trump plays the most important role in social networks among the top 20 key players for both in-degree centrality and content in tweets. Second, Donald Trump and Bara…
Different Characteristics of Social Networks for Covid-19 in Europe
This study sheds new light on the different characteristics of social networks for COVID-19 in European regions. This study explores six countries (the United Kingdom, Spain, Italy, Germany, France, and Sweden) by employing social network analysis for Twitter. First, this study finds that European countries show different characteristics for social networks with regard to COVID-19. For example, the UK has only national key players, France shows a…
The economic growth of creative industries in the Miami metropolitan area
Creative industries are at the core of the twenty-first century's economy. Most developed countries recognise the importance of creative industries and have studied those industries to strategise their national development. This paper shows the effect of creative industries on urban economy through a case study of Miami metropolitan areas. This study uses a panel analysis to measure the relation between creative industries and urban economy. The …
How Can We Measure the Magnitude of Creative Cities? A New Creativity Index
There is some doubt about the effect of creative class on economic development. There is also concern that the 3Ts index (Talent, Technology, and Tolerance) does not take into account two of the most important elements of creativity into its index: creative infrastructure and culture. The present study proposed a new creativity index called 3Ci (Creative class, Creative infrastructure, and Culture) and explored how they played an important role i…
The relationship between creative industries and the urban economy in the USA
This study presents a new CQ (cluster quotient) and 3Q (quality and quantity quotient) index to find the magnitude and type of creative clusters and highlights the relationship between creative industries and the urban economy. This study finds that California, MD is the creative cluster and California and Colorado play an important role in the creative industries across the USA. This study also finds that there is a significantly strong relation…
How Are Cultural Industries Associated with Regional Innovation Systems
This study highlights the interaction between cultural industries and regional innovation systems in the U.S. Metropolitan Statistical Areas (MSAs) in 2014–2015. This study finds that California plays an important role in cultural industries. Second, this study highlights that three MSAs (Los Angeles, CA; Providence, RI; and New York, NY) exhibit the most advanced cultural type, whereas thirty-three MSAs, such as Battle Creek, MI; Rome, GA; and W…
Social Network Analysis for Coronavirus (Covid‐19) in the United States
Objectives: This study explores how public key players play an important role in social networks for coronavirus (COVID-19). Methods: This study employs social network analyses based on 2,864 Twitter users and 2,775 communications of Twitter. Results: This study finds that President Trump plays the most important role in social networks among the top 20 key players for both in-degree centrality and content in tweets. Second, Donald Trump and Bara…
Social networks and spatial-temporal analyses for winter storm Jupiter in the US in 2017
Different Characteristics of Social Networks for Covid-19 in Europe
This study sheds new light on the different characteristics of social networks for COVID-19 in European regions. This study explores six countries (the United Kingdom, Spain, Italy, Germany, France, and Sweden) by employing social network analysis for Twitter. First, this study finds that European countries show different characteristics for social networks with regard to COVID-19. For example, the UK has only national key players, France shows a…
Spatial autocorrelation between human responses and Winter storm Grayson
This study explores the relationship between Winter storm Grayson and human responses in the US by considering a multitude of periods, regions, socio‐demographic variables and spatial autocorrelation for the number of tweets. This study suggests that the proportion of tweets is highly concentrated in the north‐east region, which is the most damaged region in the winter storm week. Second, there is significant spatial autocorrelation for the numbe…
Republican networks vs. democratic networks for Covid-19
This study explores how US political parties have social networks for COVID-19 to cope with the pandemic by employing social network analysis for Twitter. This study finds that people have their social networks for COVID-19 with the Republican Party more than the Democratic Party. Second, the Republican Party mostly has their social networks with the Republican politicians, whereas the Democratic Party has them with various key players, such as D…
Republican networks vs Democratic networks for Covid-19
This study explores how US political parties have social networks for COVID-19 to cope with the pandemic by employing social network analysis for Twitter. This study finds that people have their social networks for COVID-19 with the Republican Party more than the Democratic Party. Second, the Republican Party mostly has their social networks with the Republican politicians, whereas the Democratic Party has them with various key players, such as D…
Spatial response and power law distribution according to Winter storm Jonas
Social Networks of Covid-19 in South Korea
This study explores social networks of COVID-19 in South Korea according to a multitude of geographical scales, regions, and topics. This study finds that key players play a different role in social networks according to the national level, regional level, and topic level. For example, politicians play the most important role in communications of COVID-19 in the South Korea networks, whereas no politicians exert a significant impact on the Shinch…
How Do Governments Play an Important Role in Subjective Well-Being
This study highlights how governments play an important role in happiness, life satisfaction, and the value of people’s life in South Korea by employing the Hierarchical Linear Regression. This study finds that government integrity and the satisfaction of politics play a positive role in happiness (0.028 and 0.075, respectively). Second, the satisfaction of politics plays a positive role in life satisfaction (0.112). Third, government factors do …
The Association among Sociodemographic, Mental, and Urban Factors, and Life Satisfaction of Seoul Citizens in South Korea
This study highlights how sociodemographic, mental, and urban factors play a significant role in the life satisfaction of Seoul citizens in South Korea by employing hierarchical linear regression. The study finds that first, most urban factors play a significant role in all life satisfaction categories, with at least six out of eight urban factors exert a significant impact. Second, depression, anxiety, and loneliness have a negative effect on al…
Social Networks for Covid-19 Across Africa
This study sheds new light on understanding COVID-19 response in South Africa, Nigeria, Ghana, Kenya, Zambia, and Zimbabwe by employing social network analysis for Twitter. This study finds that African countries have different social networks for COVID-19. For instance, news media play an important role in South Africa, governmental key players exert a significant impact on Nigeria, and African key players play a significant role in Ghana. The M…
Sociodemographic Characteristics, Government Trust, and Citizen Satisfaction in Post-Covid-19 South Korea
This research explores how sociodemographic characteristics, COVID-19 , and government factors influence citizen satisfaction in post- COVID-19 South Korea, using hierarchical linear regression analysis. The findings reveal that trust in the national government (0.081) and political parties (0.081), along with demographic variables such as age (0.074), income (0.064), and residence in urban areas (-0.163), are key predictors of perceived quality …
How Can Fertility Be Increased in the Global Low-Fertility Era? Evidence from South Korea
While prior studies have primarily focused on individual or economic determinants of fertility, this study demonstrates that individual, urban, and government factors play distinct roles in shaping thoughts on children, the number of children, and future plans for additional children. Using data from the 2020 Quality of Life Survey of the Residents of Gyeonggi Province, South Korea, this study employs hierarchical linear regression and a binomial…
Understanding mental health dimensions through socio-demographic, policy and urban planning frameworks
Purpose This study aims to examine how socio-demographic, public policy and urban planning conditions jointly shape multiple dimensions of mental health in the USA. Design/methodology/approach This study uses hierarchical linear regression analysis. Findings Policy and urban-contextual factors are strongly associated with emotional distress, although their effects vary across mental health dimensions. Specifically, government efforts aimed at hel…
Different travel behavior between low-income and high-income minority groups
Geography (10 works) · Political science (9 works) · Computer Science (6 works) · Medicine (5 works) · Cultural Industries and Urban Development (4 works) · Economic geography (4 works) · Economic growth (4 works) · Economics (4 works) · Environmental Science (4 works) · Law (4 works)