Climate action for health and wellbeing in cities: a protocol for the systematic development of a database of peer-reviewed studies using machine learning methods

Wellcome Open Research

article

Kristine Belesova¹  Max Callaghan²  Jan C Minx²  Felix Creutzig²  Catalina Turcu³  Emma Hutchinson¹  James Milner¹  Melanie Crane⁴  Andy Haines¹  Michael Davies⁵  Paul Wilkinson¹ 

[1] Department of Public Health, Environments and Society and Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine;Mercator Research Institute on Global Commons and Climate Change;Bartlett School of Planning, University College London;Charles Perkins Centre, Sydney School of Public Health, University of Sydney;Bartlett School Environment, Energy & Resources, University College London

关键词: climate change;    cities;    urban health;    mitigation;    adaptation;    planetary health;    case studies;    implementation;    wellbeing;    public health;    climate action;    evaluation;    intervention;    solutions;    actions;   

DOI  :  10.12688/wellcomeopenres.16570.1

学科分类：内科医学

来源: Wellcome

【 摘 要 】

Cities produce more than 70% of global greenhouse gas emissions. Action by cities is therefore crucial for climate change mitigation as well as for safeguarding the health and wellbeing of their populations under climate change. Many city governments have made ambitious commitments to climate change mitigation and adaptation and implemented a range of actions to address them. However, a systematic record and synthesis of the findings of evaluations of the effect of such actions on human health and wellbeing is currently lacking. This, in turn, impedes the development of robust knowledge on what constitutes high-impact climate actions of benefit to human health and wellbeing, which can inform future action plans, their implementation and scale-up. The development of a systematic record of studies reporting climate and health actions in cities is made challenging by the broad landscape of relevant literature scattered across many disciplines and sectors, which is challenging to effectively consolidate using traditional literature review methods. This protocol reports an innovative approach for the systematic development of a database of studies of climate change mitigation and adaptation actions implemented in cities, and their benefits (or disbenefits) for human health and wellbeing, derived from peer-reviewed academic literature. Our approach draws on extensive tailored search strategies and machine learning methods for article classification and tagging to generate a database for subsequent systematic reviews addressing questions of importance to urban decision-makers on climate actions in cities for human health and wellbeing.

【 授权许可】

CC BY