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Land-Use Planning and the Urban Heat Island

Author

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  • Jun-Pill Kim
  • Jean-Michel Guldmann

Abstract

Local-climate changes due to urbanization are epitomiz ed by the urban heat island (UHI), which is characterized by temperature differences between urban and rural areas. The UHI is a critical factor for energy consumption and air quality, resulting in higher peak electricity demand in summer because of air conditioning, increased emissions of primary pollutants associated with power production, and increased generation of ozone. However, planners need a better understanding of the relationship between the UHI and land-use patterns in order to reduce the UHI and promote more sustainable urban development. This research develops statistical models of local surface temperatures, using Landsat-5 satellite remote-sensing data, whereby the temperature at any location and for any land use is modeled as a function of the pattern of land uses around this location. Normalized Difference Vegetation Index (NDVI) and area land-use variables are used as inputs to these models, which are estimated with data for the Columbus, Ohio, metropolitan area. The results confirm the effects of neighboring land uses on local temperatures. The applicability of these models for land-use planning is illustrated by simulating hypothetical land-use changes, and computing the resulting temperature effects. The results demonstrate that it is possible to reduce temperatures in residential and urban areas through judicious siting of green areas.

Suggested Citation

  • Jun-Pill Kim & Jean-Michel Guldmann, 2014. "Land-Use Planning and the Urban Heat Island," Environment and Planning B, , vol. 41(6), pages 1077-1099, December.
    • Handle: RePEc:sae:envirb:v:41:y:2014:i:6:p:1077-1099
    DOI: 10.1068/b130091p
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    Cited by:

    1. Peiwen Lu & Yang-Ting Shen & Tang-Huang Lin, 2017. "Environmental Risks or Costs? Exploring Flooding and the Urban Heat Island Effect in Planning for Policymaking: A Case Study in the Southern Taiwan Science Park," Sustainability, MDPI, vol. 9(12), pages 1-18, December.
    2. Li Fang & Chuanhao Tian & Xiaohong Yin & Yan Song, 2018. "Political Cycles and the Mix of Industrial and Residential Land Leasing," Sustainability, MDPI, vol. 10(9), pages 1-24, August.
    3. Tommaso Barbieri & Francesca Despini & Sergio Teggi, 2018. "A Multi-Temporal Analyses of Land Surface Temperature Using Landsat-8 Data and Open Source Software: The Case Study of Modena, Italy," Sustainability, MDPI, vol. 10(5), pages 1-23, May.

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