Climate mitigation research puts increasing emphasis on cities, but much more could be learned from urban case studies. The overall size, geographic scope and topic content of cases remains unknown, resulting in few attempts to synthesise the bottom-up evidence. Here, we use scientometric and machine-learning methods to produce a comprehensive map of the literature. Our database of approximately 4,000 case studies provides a wealth of evidence to search, compare and review. We find that cities in world regions with the highest future mitigation relevance are systematically underrepresented. A map of the evidence allows case studies to be matched with urban typologies in new and more ambitious forms of synthesis, bringing together traditionally separate strands of qualitative and quantitative urban research.
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M.W.C. acknowledges financial support from the Heinrich Böll Foundation.
The authors declare no competing interests.
Journal peer review information: Nature Climate Change thanks Brenna Walsh and other anonymous reviewer(s) for their contribution to the peer review of this work.
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Lamb, W.F., Creutzig, F., Callaghan, M.W. et al. Learning about urban climate solutions from case studies. Nat. Clim. Chang. 9, 279–287 (2019). https://doi.org/10.1038/s41558-019-0440-x
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