Airborne wind energy (AWE) harnesses higher-altitude winds using kites to generate renewable electricity. As AWE technologies move closer to potential commercialization, understanding how local communities interact with and are affected by these technologies is crucial for socially responsible deployment. Identifying key predictors of community acceptance can help develop targeted measures to address potential impacts while the technology is still adaptable. This study tested the Integrated Acceptance Model (IAM) on survey data from two European AWE test sites. A linear regression analysis revealed that two of the five explanatory variables significantly predicted acceptance: perceived site impacts (e.g., sound emissions, landscape changes, and aviation lights), as well as developer transparency and fairness in site operations. In contrast, attitudes toward the energy transition, perceived economic impacts, and social norms did not predict acceptance. These findings suggest that while AWE developers prioritize technical challenges, attention must also be given to social factors, such as minimizing impacts and ensuring transparent and fair implementation. The results also have important policy implications, highlighting the need for AWE-specific regulations and socially responsible planning practices. Further research is required to investigate additional acceptance predictors, especially if AWE technologies continue to develop toward commercial applications.

Citizen participation in energy transitions is needed to address energy injustices. Yet, the effect of energy justice on citizens' willingness to participate remains untested. This study examines whether citizens are more inclined to participate in local energy projects that consider justice factors or not. A representative survey collected data ( N = 768) from a Mexico-US cross-border region. We applied a Discrete Choice Experiment, using a Multinomial Logit Model for aggregate preferences and a Latent Class Choice Model to identify preference variation across citizen types. Interestingly, findings show that especially vulnerable groups and youth expressed greater willingness to participate as local leaders in projects prioritizing distributional justice (i.e., targeting energy-poor households) and procedural justice (i.e., involving civil organizations and multiple governance levels in decision making). This contrasts with common assumptions that vulnerable groups are disinterested in, or insufficiently informed about, participation in the energy transition. Our findings suggest that justice-informed project design may foster broader citizen engagement. The participation, and leadership, of vulnerable groups can be enabled when formal institutions recognize and engage with existing organizations representing these groups, such as traditional Indigenous authorities.

Developments to promote sustainable mobility require active and effective public participation projects in which the form of participation (e.g., consulting citizens), the objective of the project (e.g. harnessing local knowledge), and the indicators to assess if the project was effective (e.g., participants’ evaluations) are aligned. In practice, this alignment seems to be rare, but scientific research backing up this claim is lacking. For this scoping review, we have collected and analyzed peer-reviewed case studies on public participation projects for sustainable mobility in 14 countries. Per case, we identified forms, objectives, and effectiveness indicators and assessed their level of alignment. Our main findings show a wide variety of participation forms, of which consultation was the most dominant. Cases also often had multiple objectives, and many projects included measures to evaluate their effectiveness. Most relevant and in line with what we assumed, almost all of the projects demonstrated a degree of misalignment between objectives and effectiveness evaluation standards. Although these results do not imply that public participation projects in sustainable mobility are not effective, it does seem to suggest that participation can benefit from a more structured and aligned approach.

Urban areas face an increasing urgency to adapt to climate change, yet adaptation efforts remain insufficient. Addressing this adaptation gap requires an understanding of the psychological mechanisms and contextual influences shaping climate adaptation behaviour. Whereas behavioural scientists have explored citizens’ climate adaptation behaviours, the decision-making of policymakers is often overlooked despite its importance in closing the adaptation gap. To address this, we conducted a behavioural systems analysis to uncover behavioural dynamics that shape policymakers' decision-making, based on 32 semi-struct ured interviews and a workshop with Dutch urban climate adaptation policymakers. Combing thematic and content analysis with behavioural system mapping, our results highlight the importance of an integrated, dynamic system approach to understand psychological and contextual influences on policymakers' decision-making. We identified nine central themes reflecting key behavioural dynamics: reliance on precedents; fragmented roles and responsibilities; habitual thinking based on longstanding processes; policy stringency, clarity and process; conflicting political priorities; importance of individuals; externally-motivated action; illusion of local actor engagement; moving from awareness creation to mainstreaming. Furthermore, analysis of behavioural influences using the Theoretical Domains Framework identified policymakers’ beliefs about consequences, environmental context and resources, and goals as most influential determinants of behaviour. Behavioural system mapping revealed three impactful levers for interventions, namely supporting precedent identification, stimulating information gathering, and boosting mainstreaming processes, to improve decision-making in urban climate adaptation. By integrating behavioural insights and systems analysis, this work proposes a novel approach to analyse contextual, dynamic influences and determinants of behaviour that shape adaptation policymaking. Therefore, it aligns with recent calls from behavioural scientists highlighting the need for systemic approaches in behavioural science.

CO₂ emissions need to be reduced drastically to fight climate change and minimise the further increase of average global temperatures. The decarbonisation of the energy system aims at reducing CO₂ emissions and is thus urgently needed. This transition is facilitated by inter alia switching to renewable energy sources and more efficient technologies. In the past, the energy transition has mostly focused on supply-side measures. However, at least since the publication of the 6th IPCC assessment report, demand-side measures have gained attention. Thereby, the roles individuals play in achieving this transition is recognised as important. This Special Feature is dedicated to exploring the roles of individuals within the energy transition. The nine thematically featured articles provide insights on this topic using different foci and angles, such as the information to guide individuals' behaviour, the influence of media in framing roles, and technology acceptance. To contextualise and synthesise these diverse contributions, this editorial introduction outlines three different, complementary clusters of roles: technology adoption, lifestyle choices, and political action. By theorising users as participants in transitions through diverse practices, we widen the basis for future research to address and incorporate the roles users play in engaging with and shaping these transitions.