Applying Social Learning to Climate Communications—Visualising ‘People Like Me’ in Air Pollution and Climate Change Data

Applying Social Learning to Climate Communications—Visualising ‘People Like Me’ in Air Pollution and Climate Change Data

Technological approaches to carbon emission and air pollution data modelling consider where the issues are located and what is creating emissions. This paper argues that more focus should be paid to people—the drivers of vehicles or households burning fossil fuels (‘Who’) and the reasons for doing s...

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Bibliographic Details
Main Authors: Laura Fogg-Rogers, Enda Hayes, Kris Vanherle, Péter I. Pápics, Tim Chatterton, Jo Barnes, Stephan Slingerland, Corra Boushel, Sophie Laggan, James Longhurst
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sustainability
Subjects:
social identity theory
social cognitive theory
self-efficacy
climate change
carbon emissions
air pollution
Online Access:https://www.mdpi.com/2071-1050/13/6/3406

Internet

https://www.mdpi.com/2071-1050/13/6/3406

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