Urban parks have significant cooling effects, which can both mitigate the urban heat is-land effect and are crucial to the sustainable development of the human habitat. Although studies have been conducted to explore the influence of urban park morphology on the cooling effect of parks, they are not sufficiently in depth. Therefore, this paper took 117 urban parks in the central city of Chengdu as the research objects based on the perspective of the quantitative classification of urban park morphology. Then, remote sensing interpretation, spatial statistics, and regression analysis were used, and the four indicators of cooling intensity, cooling distance, cooling area, and cooling efficiency of urban parks were integrated to explore the cooling effect of the different morphological types of urban parks. The results show that (1) urban parks in Chengdu could be divided into five categories, among which the cooling effect of round parks was the best, and the cooling efficiency was 0.7. (2) In terms of park cooling area, urban parks’ area and perimeter thresholds were 30 ha and 4000 m, respectively. (3) When the area and perimeter of urban parks reached 70 ha and 3000 m, respectively, the increase in the cooling distance slowed down. (4) The cooling efficiency of the park was best when the shape index (indicating the complexity of the park boundaries) of the urban park was 2.8. The results of the study provide theoretical support for the intensive use of urban park green space and help the construction and promotion of a beautiful and livable park city in Chengdu.

Analysis of spatial patterns and driving factors of different ethnic villages under regional integration is important for the conservation and development of ethnic villages. This article takes seven multi-ethnic villages in the Dadu River Basin of Ganzi Prefecture as an example; we employ a quantitative model of spatial syntax based on the theory of figure–ground relationship to link the tangible and intangible spaces. The results reveal the logical context and formation mechanism among the overall layout, residential architecture, and public space of the villages. The findings of this study are as follows: (1) The site of different ethnic villages reflects commonality. (2) The spatial configurations of the villages are significantly influenced by the surrounding natural environment, with significant differences. Cluster-concentrated villages exhibit the smallest expansion trend, rich spatial levels, and strong ethnic territoriality; strip-intensive villages have the largest scale and the strongest permeability; and radiation-dispersion villages have variable expansion directions and architectural relationships among residents. (3) Both of the participants’ selection behaviors and residential spaces constitute the internal structure for the ethnic culture, which is driven by the humanistic spirit and force of social order, making the spatial morphology a diversified and multi-layered characteristic. (4) The rural space has gradually changed from a single residential unit to a complex unit with multiple functions. The findings extend the scope of research to ethnic villages in watersheds and provide a theoretical and practical basis for the development of other similar rural villages.

In China, tourism development is a crucial approach to poverty alleviation. With the consolidation of poverty alleviation achievements and the promotion of rural revitalization, it is of great significance to explore the relationship between tourism development and poverty alleviation from the perspective of multidimensional poverty. Therefore, this study took 28 key assistance counties for rural revitalization in the Sichuan–Chongqing region (hereinafter referred to as “key counties”) as the research objects, introduced NPP-VIIRS nighttime light (NTL) data, and a coupling coordination degree (CCD) model to explore the coordination relationship and mechanism between them. The results showed that from 2015 to 2020, the tourism development index (TDI) and estimated comprehensive development index (ECDI) of the key counties increased by 112.57% and 115.12%, respectively. In addition, the spatial differences in tourism development and multidimensional poverty both showed a narrowing trend. According to the results of the CCD model, the key counties basically faced coordination obstacles in the early stage, which were mainly transformed into reluctant coordination and moderate coordination in the later stage. This indicated that tourism poverty alleviation showed a coordinated development trend overall. However, the study also found that there may not be synchronicity between tourism development and poverty alleviation and analyzed the mechanism of their interaction. Overall, the study confirmed the positive impact of tourism development on alleviating multidimensional poverty. In addition, the study found that measuring multidimensional poverty based on NTL data has a high accuracy and can provide support for poverty research. These research results have an important reference value for China to carry out sustainable tourism poverty alleviation and comprehensively promote rural revitalization.

With the accelerating urbanization process, the urban land use structure has changed, and urban environmental and resource problems have become increasingly prominent. Among them, the urban heat island effect has seriously affected the sustainable development of society. Therefore, from the perspective of mitigating the urban heat island effect, this study uses two phases of remote sensing images of Chengdu in 2002 and 2019 as the main data. Using the methods of supervised land use classification and surface temperature inversion, the spatial and temporal changes and characteristics of land use and surface temperature in the central urban area of Chengdu are analyzed. The effects of different land use types on the surface temperature are also explored to investigate their thermal environmental effects. The main research results are as follows: (1) the area of construction land in the central urban area of Chengdu increased greatly from 2002-2019, and the proportion changed from 12.4% to 41.2%; the area of cultivated land and forest land decreased significantly. (2) The high-temperature area was mainly concentrated in the central region from 2002 to 2019, and the area was increasingly expanded; the low-temperature area shifted from the original northwest region to the eastern and southern regions. (3) Land use change was significantly correlated with the thermal environment. Surface temperature was negatively correlated with NDBI and positively correlated with NDBI.