Based on land-use change data, this paper constructed an ecological resilience evaluation model from the three dimensions of resistance, adaptability, and regeneration capacity. The spatial and temporal evolution characteristics of the ecological resilience of urban agglomeration on the northern slope of Tianshan Mountain (UANST) from 1990 to 2020 were studied. The key factors affecting the spatial distribution of ecological resilience were detected. The results showed that (1) from 1990 to 2020, the mean ecological resilience values of the UANST were 0.3371, 0.3326, 0.3330, and 0.3240, showing an overall decreasing trend. The regions with low and medium values of ecological resilience contributed the most to these values. (2) The spatial distribution of the ecological resilience of the UANST was uneven, showing a “sandwich”-type distribution with low values in the south and north of the study area and high values in the middle of the study area. During the study period, the ecological resilience in the north part of the study area declined overall, while the ecological resilience in the south part of the study area increased continuously. (3) The results of the Geodetector model showed that natural and human factors jointly influenced the spatial distribution of the ecological resilience of the UANST, with natural factors dominating and temperature changes being the most sensitive. Finally, the impact of intense human activities on the ecological resilience of the UANST is increasing.

An oasis is not only the most concentrated area of human activity in an arid area but also the largest area where artificial disturbances occur at a regional scale. The study of oasis urban expansion and related factors is important to understand the development of cities in arid areas, guide the evolution of rational urban expansion and promote sustainable development of oasis cities. Although there have been several studies on urban expansion in Xinjiang over past decades, a lack of quantitative data and methods impedes further research. In this paper, urban expansion of the studied area in 1990, 2000 and 2007 is evaluated using 39 Landsat satellite images, a geographical information system (GIS) and remote sensing (RS). We also analyse the related factors of urban expansion using quantitative and qualitative methods. We found that economic development and the area of the urban administrative region greatly effect urban expansion. Too rapid growth and outward urbanized expansion paradigms should not be applied blindly in arid areas from the point of view of sustainability. Historic–geographic features of oases and urban planning influence oasis urban morphology. Compact urban morphology is relatively better for protecting precious water and arable resources, and reducing ecology damage to the surrounding oasis. The relationship between urban expansion and population growth was not coordinate before 2000, and effectively only improved after that date. City growth should be moderated, with lower elastic coefficients, slower expansion and higher elasticity coefficients. Oasis cities in Xinjiang are expanding under the combined effects of urbanization, economic development, transportation, environment, resources, policy and planning.

With the socio-economic transformation, the recombination of regional development factors and the followed reconstruction of the rural development elements system have profoundly changed the rural landscape of the Kashgar region in Northwest China. The factors affecting the rural production and lifestyle interact with each other, shaping different types of rural development. Accordingly, basing on the main factors influencing the rural development ability and long-term development potential, the assessment indicator system of rural comprehensive development (RCD) was established to reveal the differentiation of rural development and identify the dominant factors affecting rural development. The principal component analysis method and the cluster analysis method was used to distinguish the different types. The results show that the high-level rural development areas are mainly concentrated in the center of the region, while the low-level areas are mainly distributed in the periphery, with significant spatial differentiation characteristics. We divided the rural development into three categories and 11 zones for which the basic natural conditions and external challenges are different. The categories reflect three possible results of rural development: grow, decline, and vanish, which is in the industrialization development stage. With the transformation of human society and the change of urban–rural relationship in its mode and content, the external economy, society, and changing environment has put pressures on rural areas. Therefore, according to different rural development types, it is necessary to take measures to strengthen the rural areas to cope with external environmental challenges.

China’s urbanization has attracted considerable academic attention. However, more work is required to understand and examine the driving mechanisms of urbanization, especially within the context of the transition from socialism. We used a regression model and a geographical detector technique to determine the direction and strength of factors influencing urbanization in prefecture-level cities in China. We found that China’s urbanization development model has two characteristics: administrative hierarchy and spatial agglomeration. Based on our conceptual framework, we identified the positive effect exerted by the real estate investment and per capita fiscal expenditure on urbanization, as well as the negative impact exerted by the urban–rural income ratio. The results revealed that China’s urbanization is a hybrid process: the forces from power and capital contribute to high levels of urbanization. When comparing the strength of the factors influencing urbanization between coastal and inland cities, we found that real estate investment and per capita fiscal expenditure in coastal cities have a greater impact on urbanization than in inland cities. In contrast, the impact of the urban–rural income ratio on urbanization is larger in inland cities than in coastal cities. A close examination on the factors influencing China’s rapid urbanization is the key to further advancing our understanding of the dynamic mechanisms of China’s urbanization. Our findings can help Chinese policy makers formulate more detailed urbanization strategies with consideration of regional characteristics.