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Neighborhood Landscape Spatial Patterns and Land Surface Temperature: An Empirical Study on Single-Family Residential Areas in Austin, Texas.

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.

Authors+Show Affiliations

Department of Landscape Architecture and Urban Planning, Texas A&M University, A318A Langford Architecture Center, 3137 TAMU, College Station, TX 77843-3137, USA. jhkim@arch.tamu.edu.Department of Landscape Architecture and Urban Planning, Texas A&M University, A318A Langford Architecture Center, 3137 TAMU, College Station, TX 77843-3137, USA. dgu@tamu.edu.Department of Landscape Architecture and Urban Planning, Texas A&M University, A318A Langford Architecture Center, 3137 TAMU, College Station, TX 77843-3137, USA. wonmin.sohn@tamu.edu.Department of Ecological Landscape Architecture Design, Kangwon National University, Chuncheon 24341, Korea. sunghokil@kangwon.ac.kr.Division of Architecture & Urban Design, Incheon National University, Incheon 406-772, Korea. hwan.kim@inu.ac.kr.Department of Landscape Architecture, Seoul National University, Seoul 151-921, Korea. dklee7@snu.ac.kr.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

27598186

Citation

Kim, Jun-Hyun, et al. "Neighborhood Landscape Spatial Patterns and Land Surface Temperature: an Empirical Study On Single-Family Residential Areas in Austin, Texas." International Journal of Environmental Research and Public Health, vol. 13, no. 9, 2016.
Kim JH, Gu D, Sohn W, et al. Neighborhood Landscape Spatial Patterns and Land Surface Temperature: An Empirical Study on Single-Family Residential Areas in Austin, Texas. Int J Environ Res Public Health. 2016;13(9).
Kim, J. H., Gu, D., Sohn, W., Kil, S. H., Kim, H., & Lee, D. K. (2016). Neighborhood Landscape Spatial Patterns and Land Surface Temperature: An Empirical Study on Single-Family Residential Areas in Austin, Texas. International Journal of Environmental Research and Public Health, 13(9), doi:10.3390/ijerph13090880.
Kim JH, et al. Neighborhood Landscape Spatial Patterns and Land Surface Temperature: an Empirical Study On Single-Family Residential Areas in Austin, Texas. Int J Environ Res Public Health. 2016 09 2;13(9) PubMed PMID: 27598186.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Neighborhood Landscape Spatial Patterns and Land Surface Temperature: An Empirical Study on Single-Family Residential Areas in Austin, Texas. AU - Kim,Jun-Hyun, AU - Gu,Donghwan, AU - Sohn,Wonmin, AU - Kil,Sung-Ho, AU - Kim,Hwanyong, AU - Lee,Dong-Kun, Y1 - 2016/09/02/ PY - 2016/04/25/received PY - 2016/08/15/revised PY - 2016/08/29/accepted PY - 2016/9/7/entrez PY - 2016/9/7/pubmed PY - 2017/8/9/medline KW - FRAGSTATS KW - GIS KW - green spaces KW - land surface temperature KW - landscape indices KW - spatial autocorrelation KW - urban heat island effect JF - International journal of environmental research and public health JO - Int J Environ Res Public Health VL - 13 IS - 9 N2 - 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. SN - 1660-4601 UR - https://www.unboundmedicine.com/medline/citation/27598186/Neighborhood_Landscape_Spatial_Patterns_and_Land_Surface_Temperature:_An_Empirical_Study_on_Single_Family_Residential_Areas_in_Austin_Texas_ L2 - http://www.mdpi.com/resolver?pii=ijerph13090880 DB - PRIME DP - Unbound Medicine ER -