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    Plan Evaluation for Heat Resilience: City of Tempe, AZ

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    Meerow et al (2023) Plan Evaluation ...
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    Author
    Meerow, Sara
    Keith, Ladd
    Roy, Malini
    Trego, Shaylynn
    Schmidt, Erika
    Haskins, Jack
    Leyba, Bryan
    Affiliation
    School of Landscape Architecture and Planning
    Issue Date
    2023-11-14
    Keywords
    heat planning
    urban planning
    extreme heat
    urban heat
    heat resilience
    plan analysis
    plan integration
    
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    Citation
    Meerow, Sara; Keith, Ladd; Roy, Malini; Trego, Shaylynn; Schmidt, Erika; Haskins, Jack; and Leyba, Bryan. (2023). Plan Evaluation for Heat Resilience: City of Tempe, AZ. Southwest Urban Corridor Integrated Field Laboratory (SW-IFL) – Arizona State University and University of Arizona.
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    Copyright © is held by the author(s).
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    The combination of climate change and the urban heat island (UHI) effect is increasing the number of dangerously hot days and the need for all communities to plan for urban heat resilience equitably. Urban heat resilience requires an integrated planning approach that coordinates strategies across community plans and uses the best available heat risk information to prioritize heat mitigation and management strategies for the most vulnerable communities. This report, supported by the U.S. DOE-funded Southwest Urban Corridor Integrated Field Laboratory (SW-IFL), summarizes the findings from two complementary methods for examining how different city plans shape urban heat resilience. The first methodology, Plan Quality Evaluation for Heat Resilience, provides a broad assessment of how plans address heat and their effectiveness likelihood. We adapted well established plan quality assessment approaches to heat. We then applied the methodology to assess whether Tempe’s plans meet 56 criteria across seven established principles of high quality heat resilience planning. We also cataloged the types of heat mitigation and management strategies included in the plans. The second methodology, the Plan Integration for Resilience Scorecard™ (PIRS™) for Heat provides a more detailed assessment of the heat mitigation policies and their spatial alignment with heat vulnerability. PIRS™ for Heat was developed as an extension of the original Plan Integration for Resilience Scorecard™, a methodology developed by Berke et al. (2015) and then further advanced and translated to planning practice by Malecha et al. (2019), for spatially evaluating networks of plans to reduce vulnerability to hazards. With support from the U.S. National Oceanic and Atmospheric Administration (NOAA) Climate Program Office’s Extreme Heat Risk Initiative and in partnership with the American Planning Association, PIRS™ for Heat was initially piloted in five geographically diverse U.S. communities, including Baltimore, MD, Boston, MA, Fort Lauderdale, FL, Seattle, WA, and Houston, TX. The rationale, methodology, and findings from the first five cities are published in the guidebook The Plan Integration for Resilience Scorecard™ (PIRS™) for Heat: Spatially evaluating networks of plans to mitigate heat. We analyzed all policies in Tempe’s network of plans, including their comprehensive plan, hazard mitigation plan, and climate action plan. Policies were only included if they had the potential to impact urban heat, were place-specific, and contained a recognizable policy tool. Policies were then scored based on how they would likely impact urban heat. Scored policies were mapped to relevant census tracts across the city to evaluate their spatial distribution and the net effect on urban heat. The resulting PIRS™ for Heat scorecard was then compared with physical and social vulnerability data to assess policy alignment with heat risks and to identify opportunities for improved urban heat resilience planning.
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    Final published version
    Sponsors
    This material was supported by the Robert Wood Johnson Foundation, the U.S. National Oceanic and Atmospheric Administration (NOAA) Climate Program Office’s Extreme Heat Risk Initiative, Cooperative Agreement NA21OAR4310148, and the U.S. Department of Energy (DOE), Office of Science, Office of Biological and Environmental Research’s Urban Integrated Field Laboratories research activity, under Award Number(s) DE-SC0023520. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the Robert Wood Johnson Foundation, the U.S. NOAA, or U.S. DOE.
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