Car dependence remains a persistent form of carbon lock-in, embedded in infrastructure, institutions, and everyday practices. While reducing private car use is recognized as essential for low-carbon transitions, less attention has been paid to how institutional design shapes the ability of different governance levels to pursue such goals. This study examines how institutional design enables or constrains efforts to reduce car dependence in Finland's capital region. The analysis draws on an extensive set of policy, strategy, and regulatory documents spanning national, regional, and municipal governance levels. Using institutional grammar and institutional network analysis, the study systematically codes institutional statements and maps their interactions across governance levels. It further examines developments across two policy cycles and compares three neighboring cities to assess how institutional design evolves over time and across local contexts. The findings reveal strong strategic alignment across governance levels, with shared commitments to densification, public transport, and active and shared mobility. However, this coherence coexists with limited authority: municipalities can innovate in land use and parking policies but lack access to key demand-management instruments, such as congestion charges. Moreover, cyclical planning and assessment rarely lead to substantive policy adjustments, limiting adaptive learning and reinforcing incremental rather than transformative change. The study contributes to research on institutional lock-in and transition governance by showing how coherent but weakly empowered governance structures can support innovation while constraining system-wide change. Accelerating the shift away from car dependence requires strengthening national frameworks, expanding local authority over demand-management tools, and implementing more responsive assessment mechanisms.

People's risk perceptions are crucial for climate change adaptation, influencing individual decisions and policy effectiveness. Although many studies highlight the importance of social influences and social norms in this context, the mechanisms through which they shape individual risk perceptions and adaptation behavior remain unclear. To address this gap, we analyze cross-country survey data (N = 1612) from coastal areas in the Netherlands, United Kingdom, and the USA with a focus on flood risk and adaptation behavior. Our statistical analysis reveals several important patterns in social interactions, and the ways in which these social interactions influence individual risk perceptions. First, we find limited social engagement regarding risks and adaptation, with a significant portion of respondents (50%) reporting no interactions with peers on these topics. Among those who do engage, social interactions on flood risk and adaptation appear infrequent (fewer than five times per year). Second, contrary to common assumptions, individuals who discuss flood risk and adaptation, rarely do so with neighbors. Moreover, homophily—shared socio-demographic characteristics—is not the primary determinant of who interacts on the topic. Third, we see that those with hazard experience and those with higher risk perceptions are more likely to interact with others on the topics of these risks and climate adaptation, confirming that social amplifications might be in place. These findings provide unique insights into the social dynamics underlying the evolution of individual risk perceptions, offering the potential to refine models of social influence in climate change and social tipping points. They also highlight potential synergies between communication strategies and policy tools to support timely and, possibly transformational, adaptation.

This editorial introduces the Collection on “Energy Commons: Collective Action for Sustainable Energy” examining energy commons as alternatives to market-based energy systems. Through three empirical contributions, it explores how energy commoning practices navigate five fundamental paradoxes: inclusion versus exclusion, Western frameworks versus pluriversal approaches, local autonomy versus global coordination, narrow focus versus whole value chains, and anti-capitalist ideals versus market realities. The Collection demonstrates these tensions as productive forces driving innovation in energy governance.

Climate policy faces increasingly complex challenges that span multiple human decision scales in nature-society systems. Contemporary climate policy models, while valuable and increasingly versatile in handling spatial and temporal scales, struggle to capture interacting multiscale decisions on the socioeconomic side. This perspective draws attention to the power of coupling among different modeling families, taking integrated assessment models (IAM), computable general equilibrium models (CGE), and agent-based models (ABM) as examples. Recent computational advances, maturity of models, availability of data, and interdisciplinary expertise make model coupling an increasingly feasible, effective, and useful tool for climate policy analysis. We examine the unique contributions of each modeling approach, highlight synergies from uniting their strengths, and discuss alternatives to and conditions for coupling. In addressing methodological challenges, we present examples of effective coupling of IAM-ABM-CGE, emphasizing the importance of maintaining model integrity while enhancing policy relevance. By bridging human decision scales and leveraging complementary strengths, coupled models can provide nuanced insights into climate-economy interactions, ultimately supporting effective and equitable-not just efficient and optimal-climate policies.

This article details a correction to: Ghorbani, A., Siddiki, S., Mesdaghi, B., Bosch, M., & Abebe, Y. A. (2024). Understanding Institutional Compliance in Flood Risk Management: A Network Analysis Approach Highlighting the Significance of Institutional Linkages and Context. International Journal of the Commons, 18(1), 522–540. https://doi.org/10.5334/ijc.1351. CORRECTION The article “Understanding Institutional Compliance in Flood Risk Management: A Network Analysis Approach Highlighting the Significance of Institutional Linkages and Context” (Ghorbani et al) was mistakenly published with an incorrect title (“Understanding Institutional Compliance in Floor Risk Management: A Network Analysis Approach Highlighting the Significance of Institutional Linkages and Context”) due to a typographical mistake. The original publication has been amended. COMPETING INTERESTS The authors have no competing interests to declare.

Agent-based modeling proliferates across applications and scientific disciplines. The downsides of this success are the plurality of code implementations and redundant solutions to recurring modeling tasks. It is especially critical for simulations concerned with modeling human behavior and social institutions. Reusable building blocks (RBBs) are seen as a solution due to their potential to foster standardization grounded in best practices, integration of domain knowledge (including qualitative social sciences) in code, and efficient model design. RBBs are compact code components representing mechanisms or processes useful across models and applications. RBBs have been extensively discussed in the agent-based community, with little progress in implementation. Here, we present an open-access online community platform – AGENTBLOCKS – designed to facilitate the sharing, comparison, review, reuse, and improvement of RBBs. As an international community effort, AGENTBLOCKS leverages lessons from past RBBs discussions and principles from other modeling communities that successfully apply modular, reusable code practices. The paper introduces the interface and structure of this repository, presents templates for RBBs documentation, provides tips to support aspiring users, and first examples. We highlight the need for alternative RBB implementations that share the same generic description. We also acknowledge that RBBs might represent different levels of interactions, starting from decisions concerning a single agent to interactions between multiple agents or agents and their environment. While initially designed to assist agent-based community, the platform can be utilized by other modelers (e.g. system dynamics, integrated assessment, equilibrium) who seek to improve the representation of human behavior, micro-level processes, heterogeneity, interactions, learning, and other complex dynamics. Naturally, the platform is only one element in the chain towards a successful adoption of best software development practices like RBBs. Future work should focus on populating the repository, refining review processes, and systematizing the variety of RBBs’ implementations including engagement with domain experts. Following this initial phase, we hope to further support technical improvements of the platform and widen its impact in and beyond the agent-based community.

Governments worldwide are intensifying efforts to address escalating flood risks exacerbated by climate change. Central to this endeavor is the implementation of institutional frameworks, such as public policies, aimed at mitigating, planning for, responding to, and recovering from flood events. However, the effectiveness of these institutions relies heavily on their practical application. This study delves into the institutional landscape of flood risk management (FRM) through a comprehensive case study in Sint Maarten, a Caribbean island. Specifically, we scrutinize the degree of institutional compliance, focusing on the alignment between formally advised policies (institutions-in-form) and their informal adoption in practice (institutions-in-use). Employing Institutional Network Analysis (INA), we explore discrepancies between these two dimensions across the various phases of FRM (response, recovery, mitigation, and preparation). Our findings reveal that institutional compliance varies significantly across the FRM phases, with mitigation presenting the most pronounced challenges. Notably, the discrepancies are more prevalent among those tasked with implementing the policies rather than the targeted property owners. Generally speaking, the transition of institutions from mere forms to actionable rules is often hindered by established or emerging practices diverging from prescribed directives.

Energy security is one of the most important topics in energy-related literature. As such, various concepts and dimensions are introduced to contribute to energy security assessments. However, the literature lacks an approach to prioritise these dimensions, as they cannot always be addressed simultaneously. This study is the first step in investigating the importance and prioritisation of energy security dimensions by focusing on the context of community energy systems. Such collective and decentralised energy systems are gaining momentum in the energy transition context; however, they have received minimal attention on their energy security aspects. First, a literature review is conducted to gain an overview of the studied energy security dimensions, highlighting dimensions such as energy availability and infrastructure that are studied the most. In contrast, environment and societal effect dimensions have received minimal attention. Next, an existing agent-based model is used to assess the importance of energy security dimensions and their priority in community energy systems. The results revealed that infrastructure and governance are the most impactful dimensions for the energy security assessment of community energy systems. Energy prices were one of the least influential dimensions in energy security assessments. The study also explored various existing energy security concepts and proposed the most suitable one in the energy communities' context. A research agenda emphasising the need to study governance, societal effects and environmental dimensions is also presented. Lastly, infrastructure, governance, environment and societal effects are concluded to be the most crucial energy security dimensions for community energy systems.

In recent decades, distinct national approaches to engineering ethics have evolved, each tailored to its unique contextual factors. These contextual disparities make it unfeasible to transfer one country's engineering ethics approach directly into another. This calls for a compelling need to enhance our comprehension of engineering ethics within specific national contexts. This paper introduces a novel conceptual framework for national engineering ethics (NEE), inspired by Elinor Ostrom's Institutional Analysis and Development (IAD) framework. The NEE framework categorises engineering ethics activities into three core pillars: research, education, and professional behaviour. This framework facilitates a comprehensive analysis of these activities across three levels—operational, organisational, and governmental. The proposed framework offers a valuable resource for scholars seeking a deeper understanding of engineering ethics within specific national boundaries, enabling structured reporting and analysis. It serves as a critical step towards achieving mutual understanding, allowing for cross-national comparisons and the exchange of best practices. Additionally, it provides a structured platform for policymakers and developers to devise strategies for implementing engineering ethics at the national level.

Solid waste management in low- and middle-income countries like India faces significant challenges due to the increasing waste generation that surpasses the current capacity. Therefore, the informal waste sector (IWS) is more vital than ever in handling consumer waste alongside municipal solid waste management (SWM) systems. However, the integration of the IWS into formal waste management systems remains unresolved due to adverse social and economic conditions. This study focuses on identifying the root causes that hinder the integration of the IWS in India's waste management system, using the city of Chennai as a case study. Adopting an institutional perspective, we analyse the institutional landscape of the waste management system, considering both formal rules (in policy documents) and informal rules (i.e., social norms and routines). The institutional network analysis reveals a significant misalignment in perceptions among governance levels concerning the integration of the IWS. The study shows a considerable gap between rules-in-form and rules-in-use, leading to 1) Preclusion of waste pickers in collecting door-to-door source-segregated waste (i.e., recyclables). 2) Unfair pricing in transactions with small aggregators. 3) Lack of ID cards for waste pickers. These barriers are ultimately rooted in caste discrimination, misalignment between governance levels, and the exclusion of waste pickers in the policymaking process. In conclusion, understanding and rectifying the institutional gaps and discriminatory practices are essential steps towards effectively integrating the IWS in India's waste management system, promoting a more inclusive and sustainable approach to waste management.

Foremost in dealing effectively with water conflicts is comprehensive analysis. The global surge in water conflicts, coupled with the imperfect success of solutions, initiatives, and policies, calls for a critical reevaluation of the paradigms that guide approaches to water conflicts. The approach taken—conflict management, resolution, or transformation—has a decisive impact on addressing water conflicts, from the initial analysis to the crafting of policies and their practical implementation. Iran is a prime example of this, with water conflicts increasing at various scales despite concerted mitigation efforts. This paper, through a qualitative content analysis of 159 peer-reviewed papers collected via a systematic review, aims to delineate the prevailing approach to water conflict analysis within Iran's academic discourse, thereby partially shedding light on the shortcomings in both policy and practice. Water conflict resolution, and its respective models such as game theory and optimization–simulation, is the predominant approach in Iran's literature on water conflict analysis, thereby marginalizing attention dedicated to conflict management and transformation. This reflects an overarching focus on techno-economic functions to deal with water conflicts, often overlooking the myriads of managerial and societal factors. The adoption of water conflict transformation can be vital to rectify these deficits in conflict analysis, potentially with subsequent impacts on policy and practice.