The coupled and coordinated development of urban resilience and new urbanization is an important guarantee for the realization of urban security and sustainable development. This paper first constructs an evaluation index of urban resilience and new urbanization and uses the entropy method to clarify the weights. Second, the coupling coordination degree model is used to measure the spatiotemporal differentiation characteristics of the coupling coordinated development of urban resilience and new urbanization in the Yangtze River Economic Belt from 2005 to 2019. The key influencing factors of the coupling coordination are analyzed using geodetectors. The results show the following. (1) The urban resilience of the Yangtze River Economic Belt has continued to improve, showing a stepwise distribution pattern of “high in the east and low in the west” in space. The overall development of new urbanization is at a medium–high level, with high levels concentrated in the eastern coastal cities. (2) The degree of spatial coupling and coordination between urban resilience and new urbanization is increasing year by year, and there is significant spatial heterogeneity, showing the pattern of “high in the east and low in the west, high in the center and low in the surrounding areas”, and the type of lag is mostly urban resilience lag in new urbanization. (3) Endogenous power, external power, government power and market power interact to jointly promote the development of coupling coordination. The comprehensive effect of government power and other driving forces is the key mechanism for improving spatial coupling coordination.

The study of rural habitat systems from the perspective of resilience is of great significance in revealing the inner laws of the evolution of the rural human settlements system and promoting sustainable rural development. This study aims to explain the theoretical connotation of the rural human settlements system resilience (RHSSR), construct an evaluation system and zoning rules for rural habitat system resilience, and explore the spatial distribution pattern of rural habitat system resilience in China and the factors influencing the differences in the level of rural resilience using 30 Chinese provinces as examples to provide effective governance solutions for sustainable rural development. The results show that: (1) The RHSSR refers to the sustainability of the RHSS; i.e., the ability of a system to absorb and adapt to internal and external disturbances and shocks by adjusting the structure and scale of its internal elements, discarding the original inapplicable state to the greatest extent possible and creating a new recovery path to another new equilibrium state. (2) The overall downward trend of RHSSR in 30 Chinese provinces between 2000 and 2020 is consistent with the fact that a large number of villages have died out in China in recent years. (3) The RHSSR is higher in eastern China than in central and western China; although the regional gap is gradually narrowing. (4) An analysis of the evolutionary trend of the RHSSR shows that the northeastern and eastern regions of China belong to the major evolution area of the RHSSR; most areas in central and western China belong to the degraded vulnerable area of the RHSSR, while the potential recession area of the RHSSR is more scattered, mainly in Beijing, Tianjin, and Inner Mongolia in northern China, Chongqing, Hubei, and Qinghai in central China, and Guangdong and Fujian in the southern China region of Guangdong and Fujian. (5) The results of the analysis of geographical detectors show that the effect of the basic-driven factors in the RHSSR decreases significantly with time, while the effect of the core-driven and externally-driven factors increases, and the effect of the two factors is greater than that of the single factor. Among them, industrial structure (IS) has an important influence on the spatial differentiation of the resilience level of rural human settlements system. (6) Optimization strategies are proposed in terms of spatial planning; industrial integration and public participation for the development of different sub-regions.

Once the integrated urban-rural development enters a high-quality development stage, multiple dimensions would be reflected in population, space, economics, society, and environment, which will further advance sustainable development. An integrated urban and rural development have shown different features, rules, and models amid different social systems and in different development stages. Therefore, it's urgent to scientifically measure the integration level of rural and urban areas, revealing the spatial differences, characteristics, and internal mechanism. Targeting the 41 cities within the Yangtze River Delta, this paper evaluates the integrated urban-rural development in this area based on the global principal component analysis, explores its spatial agglomeration and evolution pattern by ESDA method, analyzes the principal factors that result in the spatial differences in integrated urban and rural development in the Yangtze River Delta and their interactive relations by the geographical detector, and discusses the regional differences between those influencing factors by the geographical weighted regression method. The results indicate that (1) the integrated development of the 41 cities is not balanced and there is a great difference between different cities. (2) The integrated development of this area has shown the apparent feature of geographical agglomeration, or in other words, the central cities have become the forces that drive the development of neighboring cities. (3) Since integrated urban-rural development is influenced by economic development, basic infrastructure, government support, and industrial structure, all regions should put forward suggestions for the formulation of policies accordingly based on realities.

The Yangtze River Delta region is the most economically active and open region in China. It is also the region with the most prominent contradictions between urban and rural development. Therefore, it is necessary to strengthen the resilience of the rural areas in this region so that they can develop further with resources and opportunities after sustaining shocks. This study used a weighted TOPSIS method to measure the rural resilience of 153 research units from 2000 to 2019 and then applied the ESDA method to measure the spatial agglomeration or heterogeneity characteristics. The results show that: (1) The rural resilience of this region is higher in the east and lower in the west; (2) rural resilience has obvious spatial agglomeration characteristics, which have undergone a process of shifting from strong to weak before becoming strong again; and (3) the hotspots of rural resilience gradually shifted from Jiangsu to Zhejiang, while the coldspots gradually shifted from Zhejiang to Anhui. Finally, the K-means clustering algorithm was applied to divide all research units into five types: natural capital-dominated areas, productive capital-dominated areas, human capital-dominated areas, social-financial capital-dominated areas and general development areas. Then, the strategies for resilience promotion were proposed accordingly.