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In an urbanized world, the challenges posed by climate change need to be met through innovative planning for cities and regions. Urban resilience demands that cities adopt new models centered on carbon neutrality, ecosystem services and biodiversity enhancement, circularity, and social inclusion. In light of the multiple interdependencies of metropolitan systems and the natural and territorial potentialities present on their fringes, this paper discusses the metropolitan fringes as strategic for urban resilience and sustainable transitions. By combining a mixed-method analysis of adaptation and urban plans with semi-structured interviews performed with key technicians, the analysis is focused on an inter-municipal fringe zone within the Barcelona Metropolitan Area - the Besòs territory. Aiming to contribute to the discussions related to Territorial innovation for cities and regions, the paper offers a multi-scale perspective and illustrates innovative urban transformation strategies across scales. The results highlight that governance and multiple planning and participation instances together with technical and financial support are essential for consensus building in an incremental process. Furthermore, the planning strategies of the case study sought to integrate and enhance the green and blue infrastructures and transform consolidated urban areas with a focus on energy transition, sustainable mobility, circularity, and social inclusion. In conclusion, it is argued that resilience has a multi-scalar perspective within the metropolitan context and should be integrated with planning policies at different scales from a coordinated vision. Although adaptation and urban projects have a critical local element, a broader and more strategic vision is necessary, especially in metropolitan fringe areas. • Although adaptation and resilience have an essential local element, a broader and more strategic vision is necessary. • Metropolitan planning and governance towards urban resilience must have a multi-scalar perspective. • Metropolitan fringes are key to urban resilience and sustainable transitions due to their environmental and urban attributes. • A coordinated metropolitan vision with technical and financial support is vital for sustainable urban transitions in fringe areas. • The intermediate scale is critical since it represents a bridge between supra-municipal instances and municipalities. [ABSTRACT FROM AUTHOR]

Carbon lock-in has become a major obstacle to green development in all countries, and carbon unlocking (CUL) is of great significance in accelerating the process of carbon neutrality worldwide. Based on the panel data of 292 prefecture-level cities in China from 2006 to 2020, this paper constructs a PSM-DID model based on machine learning to empirically test the impact of LCCP policy on urban CUL. The regression result shows that the low carbon city pilot (LCCP) policy significantly increases the level of CUL by 1.25 % in the pilot cities, which is still valid after range of robustness tests, and the mechanism analysis shows that green innovation and green habits are important ways for the policy to affect CUL. Based on the generalized random forest (GRF) algorithm, we further find that the policy can increase the CUL level by 0.6 %, and the average treatment effect (ATE) of the sample is concentrated between 0.004 and 0.006, which exhibits obvious heterogeneity. This paper chooses population quality, openness level and industrial structure as heterogeneous factors, which are finally found to have a U-shaped or inverted U-shaped relationship with ATE. This study provides useful insights for China and other countries to break the carbon lock-in and realize green development. • Low-carbon city pilot policy can effectively promote urban carbon unlocking. • Causal forest model is used for causal inference based on generalized random forests algorithm. • The propensity score is calculated by machine learning. • Generalized random forest is used for heterogeneity analysis. • Low-carbon city pilot policy transmits policy effects through green innovation and green habits. [ABSTRACT FROM AUTHOR]

With the establishment of carbon peaking and carbon neutrality goals in China, developing low-carbon cities has become crucial. Previous studies primarily focus on the quantitative structure of land use to achieve low carbon optimization, while ignoring the spatial integration between urban form and carbon emissions. To fulfill this gap, this paper proposed a dual-scale low carbon oriented multi-objective land use allocation (DOLA) optimization model, utilizing idea-point multi-objective linear programming (IMLP) and non-dominated sorting genetic algorithm II (NSGA-II) to optimize the low-carbon-emission pattern of the city at both the structural and spatial scales respectively. By innovatively linking the urban shape index with carbon emissions, this model aims to minimize urban carbon emissions, while maximizing economic development, urban development suitability, and the compactness of city. The proposed method is applied to Wuhan's main urban area in China, the DOLA model shows significant improvements in target values across all scenarios. Among them, the scenario that prioritized low carbon emissions at both the structural and spatial scales achieved the most significant reduction of 6.43 % in carbon emissions. The DOLA effectively contributes to achieving multiple spatial targets, thereby aiding in reducing carbon emissions. It offers technical support for developing pathways towards China's "dual carbon" target. • A dual-scale low carbon oriented multi-objective land use allocation (DOLA) optimization model is proposed. • The DOLA model innovatively incorporates urban form indices to carbon emissions. • The DOLA model achieves spatial aggregation targets, thereby facilitating significant reductions in carbon emissions. • The DOLA model generates a series of land use optimization scenarios, offering a valuable reference for land use planning. [ABSTRACT FROM AUTHOR]

This study explores the impact of political uncertainty on sustainable urban development by examining carbon emission trading systems (ETS) in four major markets in China (Beijing, Shanghai, Guangdong, and Hubei) from 2014 to 2022. As an alternative to carbon taxes, carbon ETS markets have become increasingly popular due to their success in reducing greenhouse gas emissions. However, their effectiveness is often hindered by political instability and uncertainty. Utilising logistic regression and AR(1)-GARCH estimations, we identify a negative relationship between political uncertainty and carbon trading volume. Our study also reveals significant variations in the responses of these markets to political uncertainty. The paper contributes to the understanding of how ETS markets operate in a complex and constantly changing political environment. We suggest that policymakers need to consider the impact of political uncertainty on carbon trading when designing and implementing urban policies that promote sustainable development. Additionally, our research contributes to the development of urban policies that can be effectively implemented in both developed and developing regions. • Local government official turnovers are used as the measurement of political uncertainty. • Daily transaction data from four carbon ETS markets (Beijing, Shanghai, Hubei and Guangdong) in China • Considered the probability and proportion of zero transaction day • Logistic regression and AR(1)-GARCH estimations • A negative relationship between political uncertainty and carbon transaction volume [ABSTRACT FROM AUTHOR]

Bhutan is a rapidly growing economy currently undergoing swift and extensive rural-to-urban migration. Its commitment to carbon neutrality, as well as its unique Gross National Happiness (GNH) objectives, make Bhutan a fascinating laboratory for studying sustainable development strategies and how they can be specifically tailored to align with local contexts and values. This paper uses the framing of the Shared Socioeconomic Pathways (SSPs) from the global climate change mitigation literature to develop a vision for a locally appropriate SSP for a sustainable Bhutan, encompassing energy supply, energy demand, and urban and regional planning. The approach outlined here demonstrates how research-based recommendations from the academic literature can be combined with knowledge of local considerations to develop place-based visions for sustainable societies. The proposed sustainable pathway for Bhutan (SSP1) outlines a future in which the nation continues to sequester more carbon than it emits while maintaining traditional cultural values, a strong sense of community, and a burgeoning economy. Outcomes of alternative scenarios are described according to the nine domains of GNH. Focusing on Bhutan as a real case study, this paper thus demonstrates how mitigation measures can be selected and implemented to align with unique cultural values and national aspirations. • Identify the place-based sustainable transitions • Develop an extended Shared Socioeconomic Pathways (SSPs) for Bhutan • Develop assumptions of regionally balanced development scenario as SSP1 (Sustainability) • Analyze mitigation measures and options based on Bhutan's sustainability pathway • Raise key factors to achieve a sustainable Bhutan based on developed scenarios [ABSTRACT FROM AUTHOR]