From segmentation to strategy: Identifying population segments and regional patterns of environmental behaviour
- 1Department of Clinical, Educational & Health Psychology, University College London, London, United Kingdom
- 2Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
- 3Energy Institute, University College London, London, United Kingdom
Abstract
Energy, transport, and food sectors contribute substantially to climate change and are key areas where behaviour change can have the greatest impact. International policy learning and transfer are central to government approaches in these sectors. However, policies often show limited effectiveness when applied in varied contexts, likely due to assumptions of population homogeneity and over-reliance on socio-demographic characteristics. Using Multilevel Latent Class Analyses (MLCA) on over 17,000 respondents across 61 regions in nine OECD countries, we found that less sustainable behavioural patterns were prevalent across the three sectors, though with notable heterogeneity in the energy sector, and that socio-demographic characteristics failed to predict segment membership consistently. Individuals engaging in sustainable behaviours in one sector were more likely to do so in others, and unsustainable behaviours had similar positive associations across sectors, suggesting coordinated cross-sector interventions are crucial. Regional distribution of population segments was typically grouped geographically by country, underscoring the importance of contextual influences. However, we identified significant within-country variations in regional distributions, with some regions showing substantially different proportions of people in sustainable segments than neighbouring regions under identical national policies, highlighting the importance of regional context. Moving beyond traditional ad-hoc policy transfer approaches, we proposed a systematic framework for identifying evidence-based transfer opportunities, showing policymakers not only who needs interventions but where successful patterns emerge and which contexts may enable sustainable behaviours. These findings provide actionable insights for the international policy community seeking to accelerate behavioural change at the scale and speed required for climate mitigation.
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BibTeX
@article{yang2026from,
title = {{From segmentation to strategy: Identifying population segments and regional patterns of environmental behaviour}},
author = {Guanyu Yang and Amy Rodger and Elif Naz Çoker and David Shipworth},
journal = {PLOS Climate},
year = {2026},
month = aug,
doi = {10.1371/journal.pclm.0001039},
url = {https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0001039},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - From segmentation to strategy: Identifying population segments and regional patterns of environmental behaviour
AU - Guanyu Yang
AU - Amy Rodger
AU - Elif Naz Çoker
AU - David Shipworth
PY - 2026
DA - 2026/08/31
JO - PLOS Climate
DO - 10.1371/journal.pclm.0001039
UR - https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0001039
AB - Energy, transport, and food sectors contribute substantially to climate change and are key areas where behaviour change can have the greatest impact. International policy learning and transfer are central to government approaches in these sectors. However, policies often show limited effectiveness when applied in varied contexts, likely due to assumptions of population homogeneity and over-reliance on socio-demographic characteristics. Using Multilevel Latent Class Analyses (MLCA) on over 17,000 respondents across 61 regions in nine OECD countries, we found that less sustainable behavioural patterns were prevalent across the three sectors, though with notable heterogeneity in the energy sector, and that socio-demographic characteristics failed to predict segment membership consistently. Individuals engaging in sustainable behaviours in one sector were more likely to do so in others, and unsustainable behaviours had similar positive associations across sectors, suggesting coordinated cross-sector interventions are crucial. Regional distribution of population segments was typically grouped geographically by country, underscoring the importance of contextual influences. However, we identified significant within-country variations in regional distributions, with some regions showing substantially different proportions of people in sustainable segments than neighbouring regions under identical national policies, highlighting the importance of regional context. Moving beyond traditional ad-hoc policy transfer approaches, we proposed a systematic framework for identifying evidence-based transfer opportunities, showing policymakers not only who needs interventions but where successful patterns emerge and which contexts may enable sustainable behaviours. These findings provide actionable insights for the international policy community seeking to accelerate behavioural change at the scale and speed required for climate mitigation.
SN - 2767-3200
ER -