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Systematizing and upscaling urban climate change mitigation
Environmental Research Letters ( IF 5.8 ) Pub Date : 2020-09-16 , DOI: 10.1088/1748-9326/abb0b2
Felix Creutzig 1, 2 , Xuemei Bai 3 , Radhika Khosla 4 , Vincent Viguie 5 , Yoshiki Yamagata 6
Affiliation  

The question of what cities can contribute to mitigation and adapting to climate change is gaining traction among researchers and policy makers alike. However, while the field is rich with case studies, methods that provide rich data across municipalities and potentially at global scale remain underdeveloped, and comparative insights remain scarce. Here we summarize contributions to the focus issue on ‘Systematizing and Upscaling Urban Climate Solutions’, also drawing from presentations given at an accompanying conference in 2018. We highlight four core areas for systematizing and upscaling urban climate mitigation solutions. First, with more and better (big) data and associated machine learning methods, there is increasing potential to compare types of cities and leverage collective understanding. Second, while urban climate assessments have mostly emphasized urban planning, demand-side action as related to both behavioral change and modified social practices relevant to urban ...

中文翻译:

系统化和扩大城市减缓气候变化的规模

哪些城市可以为缓解气候变化和适应气候变化做出贡献的问题越来越受到研究人员和政策制定者的关注。但是,尽管该领域有大量案例研究,但仍无法开发能够在各个市政机构以及可能在全球范围内提供丰富数据的方法,并且缺乏比较见识。在这里,我们总结了对“系统化和升级城市气候解决方案”这一焦点问题的贡献,同时也借鉴了2018年伴随会议上的演讲。我们重点介绍了系统化和升级城市气候缓解解决方案的四个核心领域。首先,有了更多更好的(大)数据和相关的机器学习方法,比较城市类型并利用集体理解的潜力越来越大。第二,
更新日期:2020-09-18
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