Seeing people in the data

Posted on
Clair City logo

Original post shared on the Science Communications Unit.

By Dr Laura Fogg-Rogers 

We’re living through a Climate and Ecological Emergency and we urgently need to reduce carbon emissions. And yet society seems frozen into inaction. Could a new modelling and communication approach help to gather momentum? 

The ClairCity project was led by UWE Bristol and brought together the Air Quality Monitoring Resource Centre and the Science Communication Unit. The project reached over 818,000 citizens through innovative public engagement methods including an online game, extensive workshops and surveys, and schools activities.  

In a journal paper recently released, the research team detailed their innovative method to bring these results together, through citizen-centred source apportionment. Traditional methods for monitoring air pollution and carbon emissions look at what is creating the emissions (vehicles, heating etc), and where the emissions end up (pollution hot spots). 

Focus on Who and Why 

This new approach focusses on who is burning fossil fuels and why they are doing so. This means we can understand the human dimension of emissions to improve policymaking, accounting for demographics (gender or age groups), socio-economic factors (income/car ownership) and motives for specific behaviours (e.g., commuting to work, leisure, shopping, etc.). 

The modelling produced some surprises when applied to traffic in Bristol – as leisure travel accounted for the most km travelled, and therefore the most emissions per year.  Local councils usually focus on school traffic or commuting, but this provides a new way to approach emissions reduction. Policymakers plan to look at ways to reduce car use for leisure travel, for instance locating leisure venues near to public transport or cycling paths, or even considering plans for 15 minute cities, where any necessary city amenities are within a 15 minute walk from homes.  

For science communicators, there is also much to think through as well. The modelling showed that emissions are not evenly produced; certain types of people produce more emissions than others, and some feel the effects of pollution more than others. For instance, men travel by car more than women, and people who earn over £50,000 per year tend to own more cars, and therefore drive far more often.  

Perceptions of ‘sensible’ climate action vary between groups 

We therefore need a far more nuanced approach to communicating about climate action. Climate Outreach have done some excellent work on this topic, with their work on seven segments of British society and their attitudes to climate action. Science communicators need to focus on the segments polluting the most, and tailor communications showing the benefits of each relevant action they can take.  

The UWE team’s new journal paper take this further using social psychology theories, explaining how the social contexts of the groups to which we belong influence what we perceive to be ‘normal’ in society. This means that cultural realities can change between social groups, cities, regions and countries. This ‘Overton Window of Political Possibility’ can shift over time so that an idea moves from unthinkable to radical, to acceptable, to sensible, to popular and finally into policy. For example, a climate change policy which is considered quite sensible in one city, such as an extensive network of segregated bike lanes allowing for cars to be curtailed in the city centre (Amsterdam in the Netherlands), may be considered to be quite radical in another city (such as Bristol, U.K.).  

Science communications needs to focus on group lived experience of this ‘normality’, in order to understand more about why our day-to-day behaviours happen, and how we can change if we see others doing the same. Politicians will generally only pursue policies that are widely accepted throughout society as legitimate policy options, or otherwise, they may risk losing popular support and become unelectable. In order to introduce new policies, we therefore need to show how an idea can be communicated so that it resonates with what is deemed ‘acceptable’ or ‘sensible’ to the majority of citizens. 

People like me create emissions, and people like me can take action 

The UWE team showed how social cognitive theory can be used to help improve individual and collective self-efficacy for climate action. Using an example of more women cycling to activities, we need to focus on: 

  1. Vicarious experiences (i.e., comparisons of capability to others, modelling and observing)—a woman deciding whether to cycle will be influenced by whether other women cycle; if this is considered a ’normal’ thing for women to do, then other women will likely join in.  
  1. Mastery or performance accomplishments (i.e., experiences of relevant success)—a beginner female cyclist will be more likely to continue cycling if they have a positive experience cycling on main roads; they will then have a memory to recall about their ability to cycle alongside cars. 
  1. Verbal persuasions (positive feedback from peers and supervisors, coaching)—to continue cycling, the female cyclist would need to receive direct positive feedback on this activity.  
  1. Emotional arousal – both vicarious (indirect) and mastery (direct) experiences can influence our emotional states. To improve self-efficacy for an activity, we need to experience positive emotional responses. Therefore, the woman would need to feel that she is capable and confident at cycling and that other people approve or admire her behaviour. 

So climate action needs positive (and relevant) role models, alongside positive press or communications (in relevant media) in order to help change our behaviours.  

The ClairCity project showed how new thinking about the role of people in relation to air pollution and carbon emissions can widen options for action, leading to more acceptable and effective policies. Climate communications should draw on social learning in order to tailor communication efforts towards relevant groups. Ultimately, we need to become more aware that ’people like me’ create emissions and, equally, ‘people like me’ can take action to reduce emissions. 


Fogg-Rogers, L.; Hayes, E.; Vanherle, K.; Pápics, P.I..; Chatterton, T.; Barnes, J.; Slingerland, S.; Boushel, C.; Laggan, S.; Longhurst, J.. Applying Social Learning to Climate Communications—Visualising ‘People Like Me’ in Air Pollution and Climate Change Data. Sustainability 202113(6) 3406 doi.org/10.3390/su13063406