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Jun-Hyun Kim     Institute, Department or Faculty Head 
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Jun-Hyun Kim published an article in December 2017.
Top co-authors See all
Dong Kun Lee

73 shared publications

Department of Landscape Architecture and Rural System Engineering, Seoul National University, Seoul 08826, Korea

Norma Olvera

39 shared publications

University of Houston

Dennis W Smith

29 shared publications

University of Houston

Galen Newman

16 shared publications

Department of Landscape Architecture and Urban Planning, College Station, Texas A&M University, TX 77843, USA

Sung-Ho Kil

12 shared publications

Department of Landscape Architecture, Kangwon National University, Chuncheon, Republic of Korea

16
Publications
25
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0
Downloads
69
Citations
Publication Record
Distribution of Articles published per year 
(2011 - 2017)
Total number of journals
published in
 
11
 
Publications See all
Article 0 Reads 1 Citation Exploring the impact of green space health on runoff reduction using NDVI Hyun Woo Kim, Jun-Hyun Kim, Wei Li, Ping Yang, Yang Cao Published: 01 December 2017
Urban Forestry & Urban Greening, doi: 10.1016/j.ufug.2017.10.010
DOI See at publisher website
Article 2 Reads 0 Citations Low-impact development for impervious surface connectivity mitigation: assessment of directly connected impervious areas... Wonmin Sohn, Jun-Hyun Kim, Ming-Han Li Published: 23 March 2017
Journal of Environmental Planning and Management, doi: 10.1080/09640568.2016.1264929
DOI See at publisher website
Article 1 Read 3 Citations Elasticity and urban vacancy: A longitudinal comparison of U.S. cities Galen Newman, Donghwan Gu, Jun-Hyun Kim, Ann O'’.M. Bowman, ... Published: 01 October 2016
Cities, doi: 10.1016/j.cities.2016.05.018
DOI See at publisher website
Article 5 Reads 10 Citations Neighborhood Landscape Spatial Patterns and Land Surface Temperature: An Empirical Study on Single-Family Residential Ar... Jun-Hyun Kim, Donghwan Gu, Wonmin Sohn, Sung-Ho Kil, Hwanyon... Published: 02 September 2016
International Journal of Environmental Research and Public Health, doi: 10.3390/ijerph13090880
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Rapid urbanization has accelerated land use and land cover changes, and generated the urban heat island effect (UHI). Previous studies have reported positive effects of neighborhood landscapes on mitigating urban surface temperatures. However, the influence of neighborhood landscape spatial patterns on enhancing cooling effects has not yet been fully investigated. The main objective of this study was to assess the relationships between neighborhood landscape spatial patterns and land surface temperatures (LST) by using multi-regression models considering spatial autocorrelation issues. To measure the influence of neighborhood landscape spatial patterns on LST, this study analyzed neighborhood environments of 15,862 single-family houses in Austin, Texas, USA. Using aerial photos, geographic information systems (GIS), and remote sensing, FRAGSTATS was employed to calculate values of several landscape indices used to measure neighborhood landscape spatial patterns. After controlling for the spatial autocorrelation effect, results showed that larger and better-connected landscape spatial patterns were positively correlated with lower LST values in neighborhoods, while more fragmented and isolated neighborhood landscape patterns were negatively related to the reduction of LST.
Article 0 Reads 1 Citation The Influence of Urban Landscape Spatial Patterns on Single-Family Property Values Jun-Hyun Kim, Wei Li, Galen Newman, Sung-Ho Kil, Sun Young P... Published: 15 August 2016
Environment and Planning B: Urban Analytics and City Science, doi: 10.1177/0265813516663932
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Many empirical studies assessing the economic benefits of urban green space have continually documented that green space tends to increase both value and sale price of nearby residential properties. Previous studies, however, have not fully captured the quality of neighborhood level landscape spatial patterns on housing prices. To fill this literature gap, this study examined the association between landscape spatial patterns of urban green spaces and single-family home sale transactions using a spatial regression model. The research was conducted through the analysis of 11,326 housing transaction records from 2010 to 2012 in Austin, TX, USA. Variables measuring the structural, locational and neighborhood characteristics of housing were coupled with Geographic Information Systems, remote sensing and FRAGSTATS to calculate several landscape indices measuring the quality of existing landscape spatial patterns. After controlling for any spatial autocorrelation effects, we found that that larger tree and urban forest areas surrounding single-family homes positively contributed to property values, while more fragmented, isolated and irregularly shaped landscape spatial patterns resulted in the inverse. The results of this research increase awareness of the role of urban green spaces while informing community design/planning practices about the linkages between landscape spatial structure and economic benefits.
Article 5 Reads 10 Citations Urban Natural Environments, Obesity, and Health-Related Quality of Life among Hispanic Children Living in Inner-City Nei... Jun-Hyun Kim, Chanam Lee, Wonmin Sohn, Harry Timmermans, Ast... Published: 12 January 2016
International Journal of Environmental Research and Public Health, doi: 10.3390/ijerph13010121
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Although a substantial body of literature has provided evidence supporting the positive effects of natural environments on well-being, little has been known about the specific spatial patterns of urban nature in promoting health-related quality of life (HRQOL) among children. This study assessed the association that the urban natural environment measured by landscape spatial patterns may have with obesity and HRQOL among Hispanic children. Ninety-two 4th and 5th grade students were recruited from Houston, Texas, and the Pediatric Quality of Life Inventory (PedsQL) was used to capture the children’s HRQOL. The quality of urban natural environments was assessed by quantifying the landscape spatial patterns, using landscape indices generated by Geographic Information Systems and remote sensing. From the bivariate analyses, children’s body mass index showed a significantly negative association with their HRQOL. After controlling for socio-demographic factors, the results revealed that larger and more tree areas were positively correlated with children’s HRQOL. In addition, those children living in areas with tree patches further apart from each other showed higher HRQOL. This research adds to the current multi-disciplinary area of research on environment-health relationships by investigating the roles of urban greeneries and linking their spatial structures with children’s HRQOL.
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