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Within-Class and Neighborhood Effects on the Relationship between Composite Urban Classes and Surface Temperature

Author

Listed:
  • Peleg Kremer

    (Department of Geography and the Environment, Villanova University, Villanova, PA 19085, USA)

  • Neele Larondelle

    (Institute of Geography, Humboldt Universität zu Berlin, 10099 Berlin, Germany)

  • Yimin Zhang

    (Department of Mathematics and Statistics, Villanova University, Villanova, PA 19085, USA)

  • Elise Pasles

    (Department of Mathematics and Statistics, Villanova University, Villanova, PA 19085, USA)

  • Dagmar Haase

    (Department of Computational Landscape Ecology, Institute of Geography and Helmholtz Centre for Environmental Research—UFZ, Humboldt Universität zu Berlin, 10099 Berlin, Germany)

Abstract

Understanding the relationship between urban structure and ecological function—or environmental performance—is important for the planning of sustainable cities, and requires examination of how components in urban systems are organized. In this paper, we develop a Structure of Urban Landscape (STURLA) classification, identifying common compositions of urban components using Berlin, Germany as a case study. We compute the surface temperature corresponding to each classification grid cell, and perform within-cell and neighborhood analysis for the most common composite classes in Berlin. We found that with-class composition and neighborhood composition as well as the interaction between them drive surface temperature. Our findings suggest that the spatial organization of urban components is important in determining the surface temperature and that specific combinations, such as low-rise buildings surrounded by neighborhood trees, or mid-rise buildings surrounded by high-rise buildings, compound to create a cooling effect. These findings are important for developing an understanding of how urban planning can harness structure-function relationships and improve urban sustainability.

Suggested Citation

  • Peleg Kremer & Neele Larondelle & Yimin Zhang & Elise Pasles & Dagmar Haase, 2018. "Within-Class and Neighborhood Effects on the Relationship between Composite Urban Classes and Surface Temperature," Sustainability, MDPI, vol. 10(3), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:645-:d:133975
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    References listed on IDEAS

    as
    1. Larondelle, Neele & Lauf, Steffen, 2016. "Balancing demand and supply of multiple urban ecosystem services on different spatial scales," Ecosystem Services, Elsevier, vol. 22(PA), pages 18-31.
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    Cited by:

    1. Justin D Stewart & Peleg Kremer, 2022. "Temporal change in relationships between urban structure and surface temperature," Environment and Planning B, , vol. 49(9), pages 2297-2311, November.
    2. Vivek Shandas & Yasuyo Makido & Aakash Nath Upraity, 2023. "Evaluating Differences between Ground-Based and Satellite-Derived Measurements of Urban Heat: The Role of Land Cover Classes in Portland, Oregon and Washington, D.C," Land, MDPI, vol. 12(3), pages 1-15, February.
    3. Herlin Chien, 2022. "Evaluating impacts of researchers to enable sustainability transition: using urban ecosystem service literature as an exemplary field," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2345-2361, February.

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