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Daytime and nighttime urban heat islands statistical models for Atlanta

Author

Listed:
  • Bumseok Chun
  • Subhrajit Guhathakurta

Abstract

In this study, we empirically model the interactions between 2D and 3D geospatial information and both daytime and nighttime urban heat islands, and estimate the relative importance of various urban heat islands drivers. While previous studies have explored the relationship between the urban heat islands and 2D urban features, the interactions with 3D urban features and neighboring surface characteristics have not been adequately explored. This paper specifies the impacts of these urban features on the urban heat islands intensity during daytime and nighttime, which tend to be quite different. The empirical evidence from this study suggests that while vegetation is the dominant factor for urban heat islands intensity during daytime, the urban canyon has stronger impacts on the urban heat islands than vegetation at night. In addition, adjacent surfaces are more likely to influence nighttime surface temperatures. These results could be used to develop urban design solutions for mitigating the urban heat islands.

Suggested Citation

  • Bumseok Chun & Subhrajit Guhathakurta, 2017. "Daytime and nighttime urban heat islands statistical models for Atlanta," Environment and Planning B, , vol. 44(2), pages 308-327, March.
    • Handle: RePEc:sae:envirb:v:44:y:2017:i:2:p:308-327
    DOI: 10.1177/0265813515624685
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    References listed on IDEAS

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    1. James P. Lesage, 2008. "An Introduction to Spatial Econometrics," Revue d'économie industrielle, De Boeck Université, vol. 0(3), pages 19-44.
    2. Sugie Lee & Steven French, 2009. "Regional impervious surface estimation: an urban heat island application," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 52(4), pages 477-496.
    3. Bourbia, F. & Boucheriba, F., 2010. "Impact of street design on urban microclimate for semi arid climate (Constantine)," Renewable Energy, Elsevier, vol. 35(2), pages 343-347.
    4. Dian J. Gaffen & Rebecca J. Ross, 1998. "Increased summertime heat stress in the US," Nature, Nature, vol. 396(6711), pages 529-530, December.
    5. Yan Zhou & J. Shepherd, 2010. "Atlanta’s urban heat island under extreme heat conditions and potential mitigation strategies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 52(3), pages 639-668, March.
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