IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i9p880-d77340.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/9/880/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/13/9/880/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lina Tang & Alimujiang Kasimu & Haitao Ma & Mamattursun Eziz, 2023. "Monitoring Multi-Scale Ecological Change and Its Potential Drivers in the Economic Zone of the Tianshan Mountains’ Northern Slopes, Xinjiang, China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Susca, T. & Zanghirella, F. & Colasuonno, L. & Del Fatto, V., 2022. "Effect of green wall installation on urban heat island and building energy use: A climate-informed systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    2. Vassiliades, C. & Savvides, A. & Buonomano, A., 2022. "Building integration of active solar energy systems for façades renovation in the urban fabric: Effects on the thermal comfort in outdoor public spaces in Naples and Thessaloniki," Renewable Energy, Elsevier, vol. 190(C), pages 30-47.
    3. Caruso, Geoffrey & Peeters, Dominique & Cavailhes, Jean & Rounsevell, Mark, 2007. "Spatial configurations in a periurban city. A cellular automata-based microeconomic model," Regional Science and Urban Economics, Elsevier, vol. 37(5), pages 542-567, September.
    4. Rui Zhou & Ying-Jing Zheng & Jing-Yi Yun & Hong-Mei Wang, 2022. "The Effects of Urban Green Space on Depressive Symptoms of Mid-Aged and Elderly Urban Residents in China: Evidence from the China Health and Retirement Longitudinal Study," IJERPH, MDPI, vol. 19(2), pages 1-12, January.
    5. Ahmet Tolunay & Çağlar Başsüllü, 2015. "Willingness to Pay for Carbon Sequestration and Co-Benefits of Forests in Turkey," Sustainability, MDPI, vol. 7(3), pages 1-27, March.
    6. Hardie, Ian W. & Nickerson, Cynthia J., 2003. "The Effect Of A Forest Conservation Regulation On The Value Of Subdivisions In Maryland," Working Papers 28575, University of Maryland, Department of Agricultural and Resource Economics.
    7. Phi-Yen Nguyen & Thomas Astell-Burt & Hania Rahimi-Ardabili & Xiaoqi Feng, 2021. "Green Space Quality and Health: A Systematic Review," IJERPH, MDPI, vol. 18(21), pages 1-38, October.
    8. Park, Mi Sun & Shin, Seongmin & Lee, Haeun, 2021. "Media frames on urban greening in the Democratic People's Republic of Korea," Forest Policy and Economics, Elsevier, vol. 124(C).
    9. Whelan, Adele & McGuinness, Seamus & Barrett, Alan, 2021. "Review of International Approaches to Evaluating Rural and Community Development Investment and Supports," Research Series, Economic and Social Research Institute (ESRI), number RS124.
    10. Arturo Bujanda & Thomas M. Fullerton, 2017. "Impacts of transportation infrastructure on single-family property values," Applied Economics, Taylor & Francis Journals, vol. 49(51), pages 5183-5199, November.
    11. Chen, Yu & Liu, Gengyuan & Yan, Ningyu & Yang, Qing & Gao, He & Su, Liya & Santagata, Remo, 2023. "Comprehensive evaluation of urban greenspace ecological values marketability through the spatial relationship between housing price and ecosystem services," Ecological Modelling, Elsevier, vol. 484(C).
    12. Jean De Beir & Céline Emond & Yannick L'Horty & Laetitia Tuffery, 2015. "Protecting biodiversity by developing bio-jobs: a multi-branch analysis with an application on French data," Working Papers 2015.03, FAERE - French Association of Environmental and Resource Economists.
    13. Peng, Ruoqing & Tang, Justin Hayse Chiwing G. & Yang, Xiong & Meng, Meng & Zhang, Jie & Zhuge, Chengxiang, 2024. "Investigating the factors influencing the electric vehicle market share: A comparative study of the European Union and United States," Applied Energy, Elsevier, vol. 355(C).
    14. Ahlfeldt, Gabriel M. & Nitsch, Volker & Wendland, Nicolai, 2019. "Ease vs. noise: Long-run changes in the value of transport (dis)amenities," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    15. Janka Lengyel & Seraphim Alvanides & Jan Friedrich, 2023. "Modelling the interdependence of spatial scales in urban systems," Environment and Planning B, , vol. 50(1), pages 182-197, January.
    16. Kim, Jinwon & Jang, Seongsoo & Kang, Sanghoon & Kim, SeungHyun (James), 2020. "Why are hotel room prices different? Exploring spatially varying relationships between room price and hotel attributes," Journal of Business Research, Elsevier, vol. 107(C), pages 118-129.
    17. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2021. "The effects of renewable energy, spatial spillover of CO2 emissions and economic freedom on CO2 emissions in the EU," Renewable Energy, Elsevier, vol. 169(C), pages 293-307.
    18. Pooja S. Tandon & Lauren M. Kuehne & Julian D. Olden, 2018. "Trends and Knowledge Gaps in the Study of Nature-Based Participation by Latinos in the United States," IJERPH, MDPI, vol. 15(6), pages 1-11, June.
    19. Jiaxing Pang & Hengji Li & Chengpeng Lu & Chenyu Lu & Xingpeng Chen, 2020. "Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China," IJERPH, MDPI, vol. 17(20), pages 1-14, October.
    20. Ge, Tao & Li, Chunying & Li, Jinye & Hao, Xionglei, 2023. "Does neighboring green development benefit or suffer from local economic growth targets? Evidence from China," Economic Modelling, Elsevier, vol. 120(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:13:y:2016:i:9:p:880-:d:77340. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.