Journal Article

Upscaling urban data science for global climate solutions

Creutzig, Felix, Lamb, William F., Minx, Jan, Dhakal, Shobhakar, Bai, Xuemei, McPhearson, Timon, Munoz, Esteban, Walsh, Brenna, Lohrey, Steffen, Dawson, Richard, Baklanov, Alexander

2019

Overview

Manhattan, Berlin and New Delhi all need to take action to adapt to climate change and to reduce greenhouse gas emissions. While case studies on these cities provide valuable insights, comparability and scalability remain sidelined. It is therefore timely to review the state-of-the-art in data infrastructures, including earth observations, social media data, and how they could be better integrated to advance climate change science in cities and urban areas. We present three routes for expanding knowledge on global urban areas: mainstreaming data collections, amplifying the use of big data and taking further advantage of computational methods to analyse qualitative data to gain new insights. These data-based approaches have the potential to upscale urban climate solutions and effect change at the global scale. Cities have an increasingly integral role in addressing climate change. To gain a common understanding of solutions, we require adequate and representative data of urban areas, including data on related greenhouse gas emissions, climate threats and of socio-economic contexts. Here, we review the current state of urban data science in the context of climate change, investigating the contribution of urban metabolism studies, remote sensing, big data approaches, urban economics, urban climate and weather studies. We outline three routes for upscaling urban data science for global climate solutions: 1) Mainstreaming and harmonizing data collection in cities worldwide; 2) Exploiting big data and machine learning to scale solutions while maintaining privacy; 3) Applying computational techniques and data science methods to analyse published qualitative information for the systematization and understanding of first-order climate effects and solutions. Collaborative efforts towards a joint data platform and integrated urban services would provide the quantitative foundations of the emerging global urban sustainability science.

• Publisher: Cambridge University Press
• Subject: Accounting / adaptation and mitigation / Big Data / Case studies / Cities / Climate action / Climate change / Climate effects / Climate science / Commuting / Computer applications / Data analysis / Data collection / Data science / Digital media / Economic conditions / Economics / Emissions / Emissions control / Environmental policy / Global climate / Greenhouse effect / Greenhouse gases / Industrial plant emissions / Information systems / Infrastructure / Learning algorithms / Machine learning / Mainstreaming / Measures / Metabolism / open climate campaign / Open systems / policies / politics and governance / Privacy / Qualitative analysis / Qualitative research / Remote sensing / Researchers / Science / Social media / Socioeconomic factors / State-of-the-art reviews / Supply chains / Sustainability / Sustainability science / Urban areas / Urban economics / Urban metabolism / urban systems / Weather