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

Author

Listed:
  • Jun-Hyun Kim

    (Department of Landscape Architecture and Urban Planning, Texas A&M University, A318A Langford Architecture Center, 3137 TAMU, College Station, TX 77843-3137, USA)

  • Donghwan Gu

    (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

    (Department of Landscape Architecture and Urban Planning, Texas A&M University, A318A Langford Architecture Center, 3137 TAMU, College Station, TX 77843-3137, USA)

  • Sung-Ho Kil

    (Department of Ecological Landscape Architecture Design, Kangwon National University, Chuncheon 24341, Korea)

  • Hwanyong Kim

    (Division of Architecture & Urban Design, Incheon National University, Incheon 406-772, Korea)

  • Dong-Kun Lee

    (Department of Landscape Architecture, Seoul National University, Seoul 151-921, Korea)

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.

Suggested Citation

  • Jun-Hyun Kim & Donghwan Gu & Wonmin Sohn & Sung-Ho Kil & Hwanyong Kim & Dong-Kun Lee, 2016. "Neighborhood Landscape Spatial Patterns and Land Surface Temperature: An Empirical Study on Single-Family Residential Areas in Austin, Texas," IJERPH, MDPI, vol. 13(9), pages 1-15, September.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:9:p:880-:d:77340
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    References listed on IDEAS

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    1. Kleerekoper, Laura & van Esch, Marjolein & Salcedo, Tadeo Baldiri, 2012. "How to make a city climate-proof, addressing the urban heat island effect," Resources, Conservation & Recycling, Elsevier, vol. 64(C), pages 30-38.
    2. Jun-Hyun Kim & Chanam Lee & Wonmin Sohn, 2016. "Urban Natural Environments, Obesity, and Health-Related Quality of Life among Hispanic Children Living in Inner-City Neighborhoods," IJERPH, MDPI, vol. 13(1), pages 1-15, January.
    3. Getis, Arthur, 2007. "Reflections on spatial autocorrelation," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 491-496, July.
    4. Tyrvainen, Liisa & Miettinen, Antti, 2000. "Property Prices and Urban Forest Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 39(2), pages 205-223, March.
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    Cited by:

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    2. Hyun Jin Lee & Dong Kun Lee, 2019. "Do Sociodemographic Factors and Urban Green Space Affect Mental Health Outcomes Among the Urban Elderly Population?," IJERPH, MDPI, vol. 16(5), pages 1-13, March.
    3. Patryk Antoszewski & Dariusz Świerk & Michał Krzyżaniak, 2020. "Statistical Review of Quality Parameters of Blue-Green Infrastructure Elements Important in Mitigating the Effect of the Urban Heat Island in the Temperate Climate (C) Zone," IJERPH, MDPI, vol. 17(19), pages 1-36, September.
    4. John Dialesandro & Noli Brazil & Stephen Wheeler & Yaser Abunnasr, 2021. "Dimensions of Thermal Inequity: Neighborhood Social Demographics and Urban Heat in the Southwestern U.S," IJERPH, MDPI, vol. 18(3), pages 1-15, January.

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