Changyeon Lee
Datos Biográficos
| ID | 4418477 |
|---|---|
| NOMBRE | Changyeon Lee |
| NOMBRES | Changyeon |
| APELLIDO | Lee |
| FIRMA | LEE C |
| AFILIACIONES | Jeonbuk National University |
| ORCID | 0000-0001-9936-3415 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 8 |
| TOTAL DE CITAS | 2 |
| TOTAL COMO AUTOR | 8 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2020 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
Rethinking density
Unraveling the dynamics of vacant housing
Quantifying urban sprawl and investigating the cause-effect links among urban sprawl factors, commuting modes, and time
This study aims to create a detailed urban sprawl index, investigate the relationship between density and other urban sprawl factors, and analyze how these factors affect commuting mode time in South Korean cities using structural equation modeling and multiple linear regression. Urban sprawl factors are categorized from various individual perspectives into density, urban landscape, land-use mix, centeredness, and street connectivity. We show tha…
Analyzing spatiotemporal land use change using an urban growth model based on multilevel logistic regression and future land demand scenarios
Forecasting the urbanization dynamics in the Seoul metropolitan area using a long short-term memory–based model
Over the past half century, the Seoul metropolitan area (SMA) has experienced rapid urbanization. Urban development and population growth within the SMA have caused various problems, such as a lack of affordable housing, traffic congestion, and socioeconomic inequality between the SMA and the rest of the country. As a solution, growth control was adopted, but it resulted in increasing housing prices within Seoul. In late 2018, skyrocketing housin…
Investigating the performance of models estimating NO 2 and PM 2.5 in the US metropolitan areas and their environmental inequality and vulnerable people areas
The study explores the effects of incorporating satellite-based estimates and kriging based on land use regression (LUR) on the ability to predict NO2 and PM2.5 concentrations in the urban cores of the Metropolitan Statistical Areas (MSAs) located on the continental United States (US). We determined that satellite-based estimates and kriging combined with LUR resulted in the lowest averaged error values and spatially unbiased error distributions …
Impacts of multi-scale urban form on PM2.5 concentrations using continuous surface estimates with high-resolution in U.S. metropolitan areas
Impacts of two-scale urban form and their combined effects on commute modes in U.S. metropolitan areas
Quantifying urban sprawl and investigating the cause-effect links among urban sprawl factors, commuting modes, and time
This study aims to create a detailed urban sprawl index, investigate the relationship between density and other urban sprawl factors, and analyze how these factors affect commuting mode time in South Korean cities using structural equation modeling and multiple linear regression. Urban sprawl factors are categorized from various individual perspectives into density, urban landscape, land-use mix, centeredness, and street connectivity. We show tha…
Impacts of multi-scale urban form on PM2.5 concentrations using continuous surface estimates with high-resolution in U.S. metropolitan areas
Impacts of two-scale urban form and their combined effects on commute modes in U.S. metropolitan areas
Investigating the performance of models estimating NO 2 and PM 2.5 in the US metropolitan areas and their environmental inequality and vulnerable people areas
The study explores the effects of incorporating satellite-based estimates and kriging based on land use regression (LUR) on the ability to predict NO2 and PM2.5 concentrations in the urban cores of the Metropolitan Statistical Areas (MSAs) located on the continental United States (US). We determined that satellite-based estimates and kriging combined with LUR resulted in the lowest averaged error values and spatially unbiased error distributions …
Analyzing spatiotemporal land use change using an urban growth model based on multilevel logistic regression and future land demand scenarios
Forecasting the urbanization dynamics in the Seoul metropolitan area using a long short-term memory–based model
Over the past half century, the Seoul metropolitan area (SMA) has experienced rapid urbanization. Urban development and population growth within the SMA have caused various problems, such as a lack of affordable housing, traffic congestion, and socioeconomic inequality between the SMA and the rest of the country. As a solution, growth control was adopted, but it resulted in increasing housing prices within Seoul. In late 2018, skyrocketing housin…
Quantifying urban sprawl and investigating the cause-effect links among urban sprawl factors, commuting modes, and time
This study aims to create a detailed urban sprawl index, investigate the relationship between density and other urban sprawl factors, and analyze how these factors affect commuting mode time in South Korean cities using structural equation modeling and multiple linear regression. Urban sprawl factors are categorized from various individual perspectives into density, urban landscape, land-use mix, centeredness, and street connectivity. We show tha…
Unraveling the dynamics of vacant housing
Rethinking density
Geography (7 obras) · Metropolitan area (5 obras) · Civil engineering (4 obras) · Economic geography (4 obras) · Engineering (4 obras) · Population (4 obras) · Urban planning (4 obras) · Urban Transport and Accessibility (4 obras) · Cartography (3 obras) · Economics (3 obras)