气候变化领域集成服务门户(CCPortal): Learning about urban climate solutions from case studies

CCPortal

DOI	10.1038/s41558-019-0440-x
	Learning about urban climate solutions from case studies
	Lamb W.F.; Creutzig F.; Callaghan M.W.; Minx J.C.
发表日期	2019
ISSN	1758678X
卷号	9 期号:4
英文摘要	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. © 2019, Springer Nature Limited.
语种	英语
scopus关键词	database; learning; literature review; machine learning; qualitative analysis; quantitative analysis; science and technology; typology; urban climate
来源期刊	Nature Climate Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/124428
作者单位	Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany; School of Earth and Environment, University of Leeds, Leeds, United Kingdom; Technische Universität Berlin, Berlin, Germany
推荐引用方式 GB/T 7714	Lamb W.F.,Creutzig F.,Callaghan M.W.,et al. Learning about urban climate solutions from case studies[J],2019,9(4).
APA	Lamb W.F.,Creutzig F.,Callaghan M.W.,&Minx J.C..(2019).Learning about urban climate solutions from case studies.Nature Climate Change,9(4).
MLA	Lamb W.F.,et al."Learning about urban climate solutions from case studies".Nature Climate Change 9.4(2019).