Based on relevant academic research, this article takes China’s G219 Border Road as a case study, inspired by the perspective of a linear tourism destination system, and constructs a research framework for a tourism corridor experience system consisting of landscape resources, catering and cuisine, hotel accommodation, and self-driving services. Based on this research framework, the paper uses a combination of spatial resource visualization analysis and network spatial structure analysis to conduct in-depth analysis of the distribution characteristics and tourism flow process of the tourism corridor resources of the G219 Border Road. At the same time, the paper analyzed the regional differences of the G219 tourism corridor along the border road in different provincial areas, as well as the impact of self-driving tour along the border road. The research results found that firstly, the G219 Border Road is a typical linear tourism destination, which has the characteristics of mobility, spatial viscosity, flow aggregation, and path radiation. Secondly, the network nodes and tourism flow along the route are the core elements that characterize the tourism corridor and its impact. Therefore, there are significant differences in tourism resources, geographical space, and self driving service systems among the four provinces and regions along the G219 Border Road for self-driving tour. Thirdly, the image of tourism corridors is the driving force that attracts the flow, process, and velocity of self-driving tourists during their travels. Therefore, the paper proposes that the construction of G219 Border Road needs to pay more attention to spatial heterogeneity and regional differentiation development methods.

Taking 38 prefecture-level cities (states) in the Triangle of Central China as the sample unit, and selecting 2011 and 2021 as the time nodes, using social network analysis, mathematical statistics and spatial econometric models, the evolution characteristics and spatial matching of land transportation and tourism economic patterns in the Central Triangle region were discussed. 1) There are obvious differences in the spatial pattern of transportation advant-ages in the Central Triangle region, and the comprehensive level of land transportation has in-creased significantly, with a “triangular” gradient decreasing from the central to the peripheral areas. 2) The development of the tourism industry in the Triangle of Central China continues to improve, and the inter-provincial disparity in the tourism economy is obvious, with a shift from “single-core prominence” to “multi-center manifestation”. 3) In the synchronization and co-ordination of land transport and tourism economy, the coordination type of city and state scale is much smaller than the disorder type, the matching level is low, and there is a certain develop-ment difference between provinces. Based on this, the research results can provide practical guidance for the effective adaptation of supply and demand of transportation and tourism to achieve regional high-quality development.

The challenge of land desertification presents a critical obstacle to regional ecologic-al security. Establishing a scientifically grounded ecological security framework is imperative to maintain the ecological equilibrium of sandy regions and ensure sustainable economic and social development. This study focuses on the Horqin Sand Land as the research area. It ana-lyzes the significance of ecosystem services using land use and precipitation data spanning 4 periods: 1990, 2000, 2010, and 2020. Through ecological demand assessment, ecological source areas are identified. Ecological corridors are delineated using Circuit Theory, employing the Linkage Mapper toolbox and Circuitscape software. The study reveals that: 1) From 1990 to 2010, both the number and area of ecological source land increased, attributed to the expansion of forest and grassland, whereas from 2010 to 2020, there was a decline, indicating recent de-gradation despite intervention efforts. 2) The ecological security pattern of the study area between 1990 and 2020 underwent construction, optimization, management, and degradation. 3) The number of ecological corridors increased from 32 to 120 between 1990 and 2010, then decreased by 30 from 2010 to 2020, suggesting a significant influence of changes in ecological source land area on flow intensity of ecological processes. 4) Pinch points are primarily situ-ated within forested and grassland areas, while improvement areas are concentrated in unused land and urban peripheries. Building upon these findings, the study proposes an optimization strategy for the ecological security pattern titled “one belt, two axes, and three centers”, provid-ing a practical and reliable theoretical basis and technical approach for future ecological envir-onmental protection and utilization of the Horqin Sand Land.

To explore the variations of aeration zone soil specific yield under the condition of deep buried groundwater, The southern edge of Gurbantunggut Desert was taken as the research area by field in-situ observation.The complete specific yield under the condition of zero surface flux, the average releasing specific yield under the condition of evapotranspiration and the average charging specific yield under the condition of lateral leakage recharge were determined, and the effects of groundwater depth, infiltration and evapotranspiration on specific yield were discussed. Results showed that: 1) It is feasible to determine the soil specific yield under the condition of deep buried groundwater by the zone of aeration section water content method. 2) Under the condition of zero surface flux, the complete specific yield μ increases with the increase of groundwater depth H. When the groundwater depth exceeds the maximum rising height of capillary water, the change of complete specific yield is small and can be approximately regarded as a constant. 3) The average groundwater depth of interdune land in the southern edge of Gurbantunggut Desert is 8.80 m. The complete specific yield under the condition of zero surface flux is 0.36, the average releasing specific yield under the condition of deep buried groundwater evaporation is 0.13, and the average charging specific yield under the condition of lateral leakage recharge is 0.17. The results of this study can provide a new idea for the determination of soil specific yield under the condition of deep buried groundwater.

There has long been a discursive separation between workspace and home. Based on the geography of home theory, this article explores the process of constructing home within the livelihood space of operational migrants through in-depth interviews and participatory observation. The findings reveal that the home-making practices of business migrants illustrate the coexistence of workspace and home. Firstly, a stable business location is central to the home-making efforts of business migrants, providing them with a sense of ontological security and belonging. Secondly, the practice of domesticating business space is crucial for the construction of a “livelihood home”. Through self-employment and family management, business migrants can flexibly navigate their business and family responsibilities,thereby integrating the boundaries between work and life. Thirdly, through their business activities, migrants develop a local network of business relationships, express a positive local identity,and integrate into their new environment. Business cooperation reinforces existing kinship and geographic networks, thereby maintaining close ties to their original home. This paper enriches the study of the geography of home, enhances our understanding of the multiple functions and scales of home, and constructs a theoretical framework for the “ home of livelihood” contributing to the comprehension of business-oriented migration from a geographic perspective.

Return migration has become a notable socio-economic trend in the new stage of China's urbanization, and the analysis of its driving mechanism has received extensive academic attention. As a micro behavior, the return of migrants is not only affected by personal and family factors, but also closely related to external environment. However, existing studies have focused on the role of individual factors, but not enough research has been conducted on the relationship between regional contexts and return migration. We introduce a gradient boosting decision tree model in the field of machine learning, based on the data from the 2017 China Migrants Dynamic Survey, with the return intention as the response variable and the regional contexts—Both in the place of origin and destination—As well as migrants' personal and household factors as the explanatory variables, focusing on the non-linear influence of the regional contexts on the return migration intentions and the threshold effect. The results show that: 1) The total contribution of the local contexts of the place of place of the origin and destination to the intentions of the migrants to return is 44.1%, which is an important factor influencing the return intentions, and the contributions of the two places is roughly equal. Among these, medical and health resources and air pollution are extremely important in both places. In addition, economic growth in the place of origin is also important for the return intention of migrants, while the climatic condition in the place of destination is more important; 2) There are both non-linear and linear relationships between local contextual factors and migrants' intention to return. Among them, medical and health resources, basic education resources, air pollution have obvious non-linear effects on the return intention, while economic growth and temperature conditions have mainly linear effects; 3) The influence of individual factors on return intention is mainly nonlinear effect. There is an irregular U-shaped relationship between age, migration duration and return intention, and the non-linear influence of household income is more complex. There is an obvious threshold effect between household housing expenditure and return intention, and a negative correlation between migrant's education level and return intention. This study incorporates the local contexts of the place of origin and destination into the analytical framework for the mechanism of return migration, identifies the relative importance of the local context and individual characteristics of the two places on the return intention of the migrants, and reveals the specificity and complexity of internal return migration in China, which contributes to deepening the research on migration in the new era and provides scientific reference for policy makers.