<p>Measurement is essential for effective adaptation management and operation, and indicators and metrics (I&amp;M) have a pivotal role. Surprisingly, systematic efforts to assess advances in the provision of adaptation I&amp;M are scarce, and those that do exist often lack in-depth analysis of the types, characteristics, and applicability of the collected information. Here, we analyse 137 publications and 901 I&amp;M sourced in the scientific literature (2007–2022) to measure adaptation to climate change in urban areas where governments are increasingly placing efforts to prepare populations and infrastructures. A lack of common terminology, standardisation, and guidelines has resulted in a field that is complex to track and understand. This complexity has led to a fragmented methodological landscape, marked by diverse, context-dependent, and occasionally conflicting approaches to the development of I&amp;M. We argue that conventional approaches to I&amp;M are largely inadequate and must better emphasise quantifiability, long-term assessment, and alignment with policy objectives.</p>

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Conventional approaches to indicators and metrics undermine urban climate adaptation

  • Marta Olazabal,
  • Andressa V. Mansur,
  • Samraj Sahay,
  • Laura Helmke-Long,
  • Massimiliano Granceri Bradaschia,
  • Ane Villaverde,
  • Leire Garmendia,
  • Prince Dacosta Aboagye,
  • Ayyoob Sharifi,
  • Obed Asamoah,
  • Patricia Mwangi,
  • William Lewis,
  • Borja Izaola,
  • Ellie Murtagh,
  • Ira Feldman

摘要

Measurement is essential for effective adaptation management and operation, and indicators and metrics (I&M) have a pivotal role. Surprisingly, systematic efforts to assess advances in the provision of adaptation I&M are scarce, and those that do exist often lack in-depth analysis of the types, characteristics, and applicability of the collected information. Here, we analyse 137 publications and 901 I&M sourced in the scientific literature (2007–2022) to measure adaptation to climate change in urban areas where governments are increasingly placing efforts to prepare populations and infrastructures. A lack of common terminology, standardisation, and guidelines has resulted in a field that is complex to track and understand. This complexity has led to a fragmented methodological landscape, marked by diverse, context-dependent, and occasionally conflicting approaches to the development of I&M. We argue that conventional approaches to I&M are largely inadequate and must better emphasise quantifiability, long-term assessment, and alignment with policy objectives.