Coordinating the interrelationships among economic growth, land resource utilization, and carbon emissions is critical for promoting high-quality economic growth and achieving sustainable urban progress. According to the gravity model and the Tapio decoupling model, this study examined the decoupling relationships of economic growth with land expansion and carbon emissions in Zhejiang Province during the period of 2002–2017. We found that (1) The economic gravity center and the built-up area gravity center generally shifted towards the northwest; however, the carbon emission gravity center initially shifted towards the northwest and then towards the southwest. The spatial coupling between the economic gravity center and the built-up area gravity center exhibited a tendency of ‘first weakening, then strengthening, and last weakening’, whereas the spatial coupling between the economic gravity center and the carbon emission gravity center displayed a tendency of ‘first strengthening and then weakening’. (2) The decoupling of economic growth and land expansion is weak at every stage with effective controls on land expansion. However, in recent years, the phenomenon of ‘expansive negative decoupling’ has become prevalent in counties and cities surrounding the central city. The decoupling of economic growth and carbon emissions steadily increased at each stage, first ‘expansive coupling and expansive negative decoupling’, then ‘weak decoupling’, and finally ‘strong decoupling’. The urban low-carbon transformation effect is remarkable. (3) Zhejiang Province should prioritize addressing the regional imbalance and state instability in the decoupling relationships. It is crucial to comprehensively consider the natural resource endowment, macro-policy factors, and urban development orientation of counties and cities while implementing differentiated planning and control strategies, which will promote regional coordination and comprehensive, high-quality development in all areas.

Australian cities have experienced a high number of floods and droughts. In Australia, green infrastructure (GI) is increasingly popular in considering natural processes in sustainable water management practices. However, to date, there has been little examination of how the academic literature has addressed the use of GI in Australian landscape planning for water management. To investigate this, we applied a thematic framework and used the PRISMA approach to identify and analyse 98 peer-reviewed papers to better understand whether and how landscape planning perspectives are considered in current water management approaches in Australia. We found a recent increase in Australian-based literature related to GI for water management. However, there is limited literature discussing the significance of landscape connectivity and the multi-functionality of GI. This article concludes with recommendations for future research on the landscape planning principles of multi-functionality, landscape connectivity, and the integration of multiple scales of GI in Australian urban water management.

This research aims to better understand catchment-scale green infrastructure (GI) and how it could help increase flood and drought resilience in Brisbane, Australia. Findings show there is a limited number of integrated GI planning frameworks that take full consideration of a landscape planning perspective to achieve sustainable water management. Using the Oxley Creek Transformation Project (OCT) as an exemplar of catchment-scale planning in the Brisbane region, this research evaluated how landscape planning principles were considered in reducing flood and drought risks. The findings inform seven recommendations to improve GI planning and design guidelines applied within the Southeast Queensland context.

Internal mechanisms and laws exist in the evolution of cities, and the power law is widely applied in multiple areas in the real world. It is crucial to optimize the urban-scale systems through explanation studies of the urban-scale distribution pattern from the perspective of regional differences in risk attitudes. Based on computer simulation technologies, this study explores the influence of regional differences in risk attitudes of micro decision-makers on the power law through setting scenarios of same attitudes with quantitative differences and mixed multi-attitudes. In this case, we selected six provinces in China to verify the scale characteristic of the real world. The results show that the settlement scale is heavily influenced by risk attitudes with a larger slope, which are more pronounced in the mixed multi-attitudes scenario. The increase in the mixed-scale benefits less affects the utility of risk attitudes, where the slope value of the aversion attitudes has smaller variation. The averse model has a larger primary ratio than the others. However, the primary ratio does not reveal a significant bias towards large and small in the mixed multi-attitude scenario. In the six provinces, the advantageous areas with higher economic and cultural levels show larger-scale agglomeration characteristics similar to the impact of seeking attitudes. The primacy ratio increases with the variation degree in urban scales, especially in economically disadvantaged areas.