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Municipalities face increasingly complex challenges from climate change-driven natural hazards that threaten health, infrastructure, and livelihoods. Addressing these risks requires ambitious climate policies that drive the societal transformations advocated in climate policy literature. This study examines factors enabling local governments to adopt ambitious flood risk management. Ambitious climate adaptation policies go beyond minimum regulatory requirements to reduce climate vulnerability and enhance resilience. They facilitate their community’s ability to bounce forward after confronting system disruptions and shocks. Given the dynamic nature of climate challenges, scholars emphasize the importance of having a capacity for transformation over achieving fixed outcomes. Accordingly, this study hypothesizes that city governments with higher Transformative Governance Capacity (TGC) are more likely to implement ambitious flood management strategies. TGC is characterized by behavioural qualities such as being learning-focused, proactive, and risk-accepting. Using survey data from 386 U.S. cities, we operationalize and quantify local governments’ TGC and analyze its association with ambitious flood management practices, as proxied by participation in the Community Rating System (CRS) – a voluntary programme that incentivizes communities to exceed national flood mitigation standards. The findings support the hypothesis that greater TGC is associated with higher levels of involvement in the CRS and higher CRS scores, underscoring the importance of this distinct type of behavioural capacity in addressing escalating climate threats. 

Implicit in cities' decisions to engage in climate actions is the expectation that these efforts will result in significant greenhouse gas emissions reductions. Little research, however, has investigated this presumed cause and effect relationship in a manner that is both empirical and generalizable. This, in turn, challenges the design of evidence-based policy recommendations. We apply a difference-in-differences (DiD) approach to examine the impact that two frequently recommended capacity-building interventions—completing a greenhouse gas emissions (GHG) inventory and employing dedicated sustainability staff—have on the fossil fuel carbon dioxide (FFCO2) emissions of the cities that have undertaken them. This is enabled by the construction of a unique dataset that combines city-level FFCO2 emission estimates in 2010 and 2015 with multi-year survey based data indicating the adoption of relevant local policy actions. Findings offer evidence that the completion of a community-wide emissions inventory facilitates local action that, even in a relatively short timeframe, significantly reduces emissions from onsite residential sources. 

Although they play a key role in shaping local efforts, there is limited research on how city officials define sustainability as it is practiced in their communities. To address this limitation and contribute to planning research, we leveraged a unique nationwide data set of sustainability definitions provided by the sustainability lead in more than 400 U.S city governments. Our study’s qualitative analysis of these statements complements existing research by exploring emerging themes on how sustainability is perceived and practiced at the local level. Results indicated that practitioners’ conceptualizations reflected five general orientation categories: action, aspiration, emotion, process and organization, and progress. We evaluated the association of these general orientation categories with cities’ administrative arrangements, political environments, resources, and capacities. Findings suggested that supportive contexts were associated with city sustainability staff defining sustainability in aspirational terms, as opposed to emphasizing progress or discrete actions. 

Abstract Recent large-scale societal disruptions, from the COVID-19 pandemic to intensifying wildfires and weather events, reveal the importance of transforming governance systems so they can address complex, transboundary, and rapidly evolving crises. Yet current knowledge of the decision-making dynamics that yield transformative governance remains scant. Studies typically focus on the aggregate outputs of government decisions, while overlooking their micro-level underpinnings. This is a key oversight because drivers of policy change, such as learning or competition, are prosecuted by people rather than organizations. We respond to this knowledge gap by introducing a new analytical lens for understanding policymaking, aimed at uncovering how characteristics of decision-makers and the structure of their relationships affect their likelihood of effectuating transformative policy responses. This perspective emphasizes the need for a more dynamic and relational view on urban governance in the context of transformation. 

Although many U.S. municipalities have adopted climate protection and sustainability as explicit objectives, they are not among their traditional responsibilities. As a result, compared to policies focused around core functions, those related to sustainability may be at greater risk of retrenchment or change in times of crisis. This research examines how the COVID-19 pandemic has impacted local governments’ sustainability efforts. Using data from a nation-wide survey, we examine the degree to which the pandemic has affected programmatic priorities, resources, and operations related to sustainability. Findings indicate that the pandemic hurt the implementation of sustainability initiatives in almost half of U.S. cities. At the same time, many cities increased the priority of economic and social sustainability initiatives in response to the pandemic. Cities which have formally included sustainability principles into a city plan appear more sensitive to COVID-induced challenges to their program operations. 

Surveys are an important vehicle for advancing research on urban policy and governance. The introduction of online tools eased survey-based data collection, making it cheaper and easier to obtain data from key informants like local elected officials or public administrators. However, the utility of web-based survey administration may be diminishing. To investigate this dynamic and search for strategies to support survey research in urban studies, we perform a systematic review of survey research in urban policy and administration scholarship and conduct an original survey follow-up experiment. Our findings identify a clear downward trend in survey response rates that was accentuated during the COVID-19 pandemic. Results from our survey experiment show distinctly different costs per solicitation and per completed survey, depending on administration mode. These findings stimulate discussion on how scholars may continue to use surveys to generate high-quality, empirically rigorous research on urban affairs in light of recent trends.