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This study explores the factors that enable cities to navigate renewable energy (RE) transitions despite limited state support, using a qualitative case study of 13 Florida cities committed to 100 % RE goals. Adapting the Transition Management framework to the U.S. federalist context, we find that local actors overcome state regime barriers through polycentric governance. Local governments leverage their policymaking autonomy and dedicated sustainability offices to institutionalize RE efforts and implement local policy changes to support RE. Nonprofits not only act as advocates and information providers, but also serve as consultants to shape local policies and lead regional collaboration to secure external funding for RE, filling the gap left by the absence of state support. Additionally, local governments, utilities and nonprofits utilize diverse financing mechanisms for RE projects and choose RE and complementary technologies based on local financial and technical capacities. Energy justice principles are embedded in local programs and policymaking processes to promote distributional and procedural justice, and some of these efforts are driven by federal policies or non-state actors. These findings offer valuable insights into sustainable and equitable RE transitions, demonstrating the potential for local action to drive substantial progress, even in the absence of state-level support. 

Individual evacuation decision making has been studied for multiple decades mainly using theory-based approaches, such as random utility theory. This study aims to bridge the research gap that no studies have adopted data-driven approaches in modeling the compliance of hurricane evacuees with government-issued evacuation orders using survey data. To achieve this, we conducted a survey in two coastal metropolitan regions of Florida (Jacksonville and Tampa) during the 2020 Atlantic hurricane season. After preprocessing survey data, we employed three supervised learning algorithms with different complexities, namely, multinomial logistic regression, random forest, and support vector classifier, to predict evacuation decisions under various hypothetical hurricane threats. We found that the evacuation decision is mainly determined by people’s perception of hurricane risk regardless of whether the government issued an order; COVID-19 risk is not a major factor in evacuation decisions but influences the destination type choice if an evacuation decision is made. Additionally, past and future evacuation destination types were found to be highly correlated. After comparing the algorithms for predicting evacuation decisions, we found that random forest can achieve satisfactory classification performance, especially for certain categories or when some categories are merged. Finally, we presented a conceptual optimization model to incorporate the data-driven modeling approach for evacuation behavior into a government-led evacuation planning framework to improve the compliance rate. 

Given the growing attention on citizen involvement in local sustainability, this study explores how citizens evaluate government sustainability performance stemming from exploitation (established policies) and exploration strategies (pioneering initiatives). Our survey experiment finds that positive sustainability performance resulting from exploitation achieves more favourable citizen evaluations compared to exploration. Negative sustainability performance does not moderate the associations between sustainability strategies and public assessments. Furthermore, Republicans, individuals with low climate beliefs, Hispanics, and low-income citizens prefer exploitation over exploration. As an early attempt to examine citizen preferences for organizational strategies, this study extends performance management research by linking organizational strategies with performance. 

Complementary characterization results show that chemical dissolution of transition metal in LiMn₂O₄is caused by solvolysis-generated HF, which can be suppresed by rational design of a group of nonsolvolytic electrolytes. 

Energy insecurity poses a global challenge with far-reaching social equity and health implications. This paper provides a comprehensive perspective on the relationship between energy insecurity and health outcomes in developed countries. Existing research has identified associations between energy insecurity and various physical and mental health outcomes. Moreover, climate change can exacerbate the adverse health consequences of energy insecurity, disproportionately affecting vulnerable populations. Based on a review of existing literature, this paper identifies several knowledge gaps, proposes future research directions, and discusses data challenges faced by researchers in measuring energy insecurity and assessing the health impacts of existing programs that tackle energy insecurity. Furthermore, the paper highlights the importance of fostering collaboration among different governmental agencies and other sectors to enhance energy insecurity program management and data collection for program evaluation. 

Sustainable development requires an accelerated transition toward renewable energy. In particular, substantially scaling up solar photovoltaics (PV) adoption is a crucial component of reducing the impacts of climate change and promoting sustainable development. However, it is challenging to convince local governments to take action. This study uses a combination of propensity score matching (PSM) and difference-in-differences (DID) models to assess the effectiveness of a voluntary environmental program (VEP) called SolSmart that targets local governments to engage in solar-friendly practices to promote the local solar PV market in the United States. Via specific designation requirements and technical assistance, SolSmart simplifies the process of acting on interest in being solar friendly, has a wide coverage of basic solar-friendly actions with flexible implementation, and motivates completion with multiple levels of designation. We find that a local government’s participation in SolSmart is associated with an increased installed capacity of 18 to 19%/mo or with less statistical significance, an increased number of installations of 17%/mo in its jurisdiction. However, SolSmart has not shown a statistically significant impact on soft cost reductions to date. In evaluating the impact of the SolSmart program, this study improves our understanding of the causation between a VEP that encourages solar-friendly local government practices and multiple solar market outcomes. VEPs may be able to promote shifts toward sustainable development at the local level. Our findings have several implications for the design of VEPs that promote local sustainability.