Mitigating urban heat with optimal distribution of vegetation and buildings

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Matthias Tuczek
  • Kenan Degirmenci
  • Kevin C. Desouza
  • Richard T. Watson
  • Tan Yigitcanlar
  • Michael H. Breitner

External Research Organisations

  • Queensland University of Technology
  • University of Georgia
  • KPMG AG Wirtschaftsprüfungsgesellschaft
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Details

Original languageEnglish
Article number101208
JournalUrban Climate
Volume44
Early online date10 Jun 2022
Publication statusPublished - Jul 2022

Abstract

The impact of climate change on cities poses a growing global threat, which is exacerbated by the urban heat island (UHI) effect. The optimal distribution of vegetation and buildings in urban areas is critical to control the UHI effect and stabilize long-term temperature changes. In this article, we develop an optimization model to maximize revenue while limiting UHI intensity under several restrictions. We run simulations in two urban areas in Brisbane, Australia to test the model's theoretical predictions. Our results show that a revenue increase by AUD 4.32 billion in Brisbane City and by AUD 1.19 billion in Hamilton involves an increase of the maximum temperature difference between the developed and undeveloped sites from 4 to 5° C through an increase of buildings and thus a decrease of porosity and an increase of population density.

Keywords

    Brisbane, Climate change, Optimization, Revenue maximization, Urban heat island mitigation

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Mitigating urban heat with optimal distribution of vegetation and buildings. / Tuczek, Matthias; Degirmenci, Kenan; Desouza, Kevin C. et al.
In: Urban Climate, Vol. 44, 101208, 07.2022.

Research output: Contribution to journalArticleResearchpeer review

Tuczek, M, Degirmenci, K, Desouza, KC, Watson, RT, Yigitcanlar, T & Breitner, MH 2022, 'Mitigating urban heat with optimal distribution of vegetation and buildings', Urban Climate, vol. 44, 101208. https://doi.org/10.1016/j.uclim.2022.101208
Tuczek, M., Degirmenci, K., Desouza, K. C., Watson, R. T., Yigitcanlar, T., & Breitner, M. H. (2022). Mitigating urban heat with optimal distribution of vegetation and buildings. Urban Climate, 44, Article 101208. https://doi.org/10.1016/j.uclim.2022.101208
Tuczek M, Degirmenci K, Desouza KC, Watson RT, Yigitcanlar T, Breitner MH. Mitigating urban heat with optimal distribution of vegetation and buildings. Urban Climate. 2022 Jul;44:101208. Epub 2022 Jun 10. doi: 10.1016/j.uclim.2022.101208
Tuczek, Matthias ; Degirmenci, Kenan ; Desouza, Kevin C. et al. / Mitigating urban heat with optimal distribution of vegetation and buildings. In: Urban Climate. 2022 ; Vol. 44.
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abstract = "The impact of climate change on cities poses a growing global threat, which is exacerbated by the urban heat island (UHI) effect. The optimal distribution of vegetation and buildings in urban areas is critical to control the UHI effect and stabilize long-term temperature changes. In this article, we develop an optimization model to maximize revenue while limiting UHI intensity under several restrictions. We run simulations in two urban areas in Brisbane, Australia to test the model's theoretical predictions. Our results show that a revenue increase by AUD 4.32 billion in Brisbane City and by AUD 1.19 billion in Hamilton involves an increase of the maximum temperature difference between the developed and undeveloped sites from 4 to 5° C through an increase of buildings and thus a decrease of porosity and an increase of population density.",
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note = "Funding Information: We thank the editor and two anonymous reviewers for their constructive and valuable comments. This research was supported by a grant from the Institute for Future Environments (IFE) at Queensland University of Technology (QUT). Matthias Tuczek gratefully acknowledges the financial support of the German Academic Exchange Service (DAAD) as part of the PROMOS scholarship program. An earlier version of the paper was presented at a workshop of the Special Interest Group in Green Information Systems (SIGGreen) of the Association for Information Systems (AIS).",
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AU - Degirmenci, Kenan

AU - Desouza, Kevin C.

AU - Watson, Richard T.

AU - Yigitcanlar, Tan

AU - Breitner, Michael H.

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