Youngre Noh
Biographic Data
| ID | 6314583 |
|---|---|
| NAME | Youngre Noh |
| GIVEN NAMES | Youngre |
| FAMILY NAME | Noh |
| SIGNATURE | NOH Y |
| AFFILIATIONS | Texas A&M University |
| ORCID | 0000-0002-5971-4644 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Urban form and carbon emissions
The determination of the urban form–carbon relationships has traditionally relied on survey-based estimates, limiting analytical precision. We investigated regional heterogeneity in carbon emissions by linking urban form, socioeconomic factors, and spatial carbon footprint data. This study leveraged South Korea's newly developed Carbon Spatial Map, containing actual energy consumption data from 7.27 million buildings and comprehensive forest carb…
Explainable machine learning for urban housing prices
Explainable ML is a practical diagnostic complement to hedonic pricing models. • Tree-based models improve out-of-sample R 2 by 0.10–0.35 over linear baselines. • SHAP yields spatially explicit, dollar-valued insights for non-linear thresholds. • Continuous distance gradients reveal income-differentiated proximity premiums. • Diagnostics inform TOD zoning, appraisals, and targeted anti-displacement policies
Impacts of bus rapid transit (BRT) on income-segmented housing markets in El Paso, Texas
This study evaluates the impact of introducing the Bus Rapid Transit (BRT) system on housing market dynamics across three diverse urban corridors in El Paso, Texas, utilizing spatial hedonic pricing and AITS-DID models. The research aims to understand how the BRT system influences property values, hypothesizing that the effects vary between developed and underdeveloped areas. Initial findings reveal an increase in property values in the affluent …
Bus Rapid Transit Impact on Property Prices
Bus Rapid Transit (BRT) has been increasingly popular recently. This study compiles longitudinal house transaction data and carries out two natural experiments in El Paso, TX, to explore the effect of BRT stations on residential property values. A synthetic control methodology, which creates counterfactual groups for identifying matching controls, has been used. Transportation corridors are used as our spatial control pool. The results reveal a s…
Segregation and Housing Market Dynamics in a Shrinking City
This study investigates the relationship between racial segregation and housing market outcomes in depopulating cities, focusing on Cleveland, OH (1986–2021). Findings reveal that moderately integrated neighborhoods with high Black isolation maintained stable values, while highly segregated areas experienced sharp declines, intensifying post-2008 in low- and medium-income areas. High-income segregated neighborhoods showed resilience, highlighting…
Planning factors affecting carbon footprints of residents
Energy-efficient urban development and carbon footprints (CFs) are often discussed in relation to climate change. The optimal level of urban density from a carbon reduction perspective at the city level has been much debated. However, considering possible trade-offs or co-benefits for CFs in the housing and travel sectors, it remains difficult to evaluate how intra-urban/residential densities and mixed land-use patterns relate to individual CFs a…
Impact of Light Rail
This research examines the impact of light rail stations on housing market by analyzing the 1993–2013 single-family home sale transactions in the City of Los Angeles, California. The study period was divided into seven 3-year periods, and the area was divided into three different groups by income level: low-, middle-, and high-income. The result shows that the opening of light railways increased property values in general. It also revealed the di…
Urban decline and residential preference
Vacant land is a ubiquitous urban phenomenon. The existence of vacant land in a neighborhood can either lower or heighten nearby housing values, depending on its relative development potential. However, this condition has rarely been examined longitudinally, nor has it been examined thoroughly across different socioeconomic conditions. This research examines the impact of vacant lots on housing premiums using 2006–2015 single-family home sale tra…
Recovery of the value of natural amenities
Bus Rapid Transit Impact on Property Prices
Bus Rapid Transit (BRT) has been increasingly popular recently. This study compiles longitudinal house transaction data and carries out two natural experiments in El Paso, TX, to explore the effect of BRT stations on residential property values. A synthetic control methodology, which creates counterfactual groups for identifying matching controls, has been used. Transportation corridors are used as our spatial control pool. The results reveal a s…
Impact of Light Rail
This research examines the impact of light rail stations on housing market by analyzing the 1993–2013 single-family home sale transactions in the City of Los Angeles, California. The study period was divided into seven 3-year periods, and the area was divided into three different groups by income level: low-, middle-, and high-income. The result shows that the opening of light railways increased property values in general. It also revealed the di…
Recovery of the value of natural amenities
Urban decline and residential preference
Vacant land is a ubiquitous urban phenomenon. The existence of vacant land in a neighborhood can either lower or heighten nearby housing values, depending on its relative development potential. However, this condition has rarely been examined longitudinally, nor has it been examined thoroughly across different socioeconomic conditions. This research examines the impact of vacant lots on housing premiums using 2006–2015 single-family home sale tra…
Impact of Light Rail
This research examines the impact of light rail stations on housing market by analyzing the 1993–2013 single-family home sale transactions in the City of Los Angeles, California. The study period was divided into seven 3-year periods, and the area was divided into three different groups by income level: low-, middle-, and high-income. The result shows that the opening of light railways increased property values in general. It also revealed the di…
Planning factors affecting carbon footprints of residents
Energy-efficient urban development and carbon footprints (CFs) are often discussed in relation to climate change. The optimal level of urban density from a carbon reduction perspective at the city level has been much debated. However, considering possible trade-offs or co-benefits for CFs in the housing and travel sectors, it remains difficult to evaluate how intra-urban/residential densities and mixed land-use patterns relate to individual CFs a…
Impacts of bus rapid transit (BRT) on income-segmented housing markets in El Paso, Texas
This study evaluates the impact of introducing the Bus Rapid Transit (BRT) system on housing market dynamics across three diverse urban corridors in El Paso, Texas, utilizing spatial hedonic pricing and AITS-DID models. The research aims to understand how the BRT system influences property values, hypothesizing that the effects vary between developed and underdeveloped areas. Initial findings reveal an increase in property values in the affluent …
Bus Rapid Transit Impact on Property Prices
Bus Rapid Transit (BRT) has been increasingly popular recently. This study compiles longitudinal house transaction data and carries out two natural experiments in El Paso, TX, to explore the effect of BRT stations on residential property values. A synthetic control methodology, which creates counterfactual groups for identifying matching controls, has been used. Transportation corridors are used as our spatial control pool. The results reveal a s…
Segregation and Housing Market Dynamics in a Shrinking City
This study investigates the relationship between racial segregation and housing market outcomes in depopulating cities, focusing on Cleveland, OH (1986–2021). Findings reveal that moderately integrated neighborhoods with high Black isolation maintained stable values, while highly segregated areas experienced sharp declines, intensifying post-2008 in low- and medium-income areas. High-income segregated neighborhoods showed resilience, highlighting…
Urban form and carbon emissions
The determination of the urban form–carbon relationships has traditionally relied on survey-based estimates, limiting analytical precision. We investigated regional heterogeneity in carbon emissions by linking urban form, socioeconomic factors, and spatial carbon footprint data. This study leveraged South Korea's newly developed Carbon Spatial Map, containing actual energy consumption data from 7.27 million buildings and comprehensive forest carb…
Explainable machine learning for urban housing prices
Explainable ML is a practical diagnostic complement to hedonic pricing models. • Tree-based models improve out-of-sample R 2 by 0.10–0.35 over linear baselines. • SHAP yields spatially explicit, dollar-valued insights for non-linear thresholds. • Continuous distance gradients reveal income-differentiated proximity premiums. • Diagnostics inform TOD zoning, appraisals, and targeted anti-displacement policies
Housing Market and Economics (7 works) · Geography (5 works) · Economics (4 works) · Urban, Neighborhood, and Segregation Studies (4 works) · Agricultural economics (3 works) · Economic geography (3 works) · Engineering (3 works) · Mathematics (3 works) · Property value (3 works) · Public transport (3 works)