Human trafficking has existed since ancient times and persists to this day, causing serious damage to family and social harmony and stability. Based on open-source data on the Internet, this study employed statistical analysis and spatial visualization methods to analyze the spatiotemporal characteristics of child trafficking in Henan Province from 1970 to 2018. Furthermore, it exploreed the regional types and formation mechanisms of these crimes. The results are as follows: 1) From 1970 to 2018, the annual variation of child trafficking in Henan Province showed an inverted-"V" shape, high in the middle and low at both ends. It was closely related to fertility policies, anti-trafficking enforcement efforts, and shifts in societal attitudes. In terms of monthly variation, a clear seasonal differentiation was observed, with spring and summer being the peak seasons, largely influenced by climate, agricultural activities, and holidays. 2) The spatial distribution of child trafficking in Henan Province showed significant regional disparities. Hotspot areas include Huaxian County, Yuanyang County, and Lankao County in the northeast, and Erqi District in the central region, while most counties in the northwest, west, and south are low-incidence areas. 3) The regional types of child trafficking in Henan Province were mainly dominated by trafficking in boys, trafficking in girls, and trafficking out boys. Through the study period, the number of boy-inflow-dominant areas has decreased, while the number of boy-outflow-dominant areas has shown an upward trend, and the number of girl-inflow-dominant areas has shown a slight increase. 4) Due to the influence of the family planning policy, regions in Henan Province with severe son preference, poor economic development, and lower educational levels tend to traffic in boys due to restricted fertility, inability to conceive, or the loss of a son, driven by the purposes of "continuing the family line" and "providing old-age support", thereby forming the boy-inflow-dominant type. In contrast, regions with less pronounced son preference often desire "having both a son and a daughter", or some economically disadvantaged men seek to enter marriage by purchasing wives. When faced with fertility restrictions, inability to conceive, or marital mismatches, these regions tend to traffic in girls for the purposes of caregiving in old age and childbearing, forming the girl-inflow-dominant type. The formation of the trafficking out boys is facilitated by a robust buyer's market, sufficient criminal motivation, inadequate regulatory enforcement, market-driven criminal choices, and convenient transportation conditions.

Based on the agricultural product e-commerce data of Taobao and Jingdong from 2012 to 2022, this study analyzed the development trend and spatial distribution pattern of China's agricultural product e-commerce industry by using kernel density analysis, average nearest neighbor index, and standard deviation ellipse. It also explored the driving factors and formation mechanisms by using multiscale geographically weighted regression in combination with the macro economic data of prefectural-level cities. The results of the study show that: 1) The spatial distribution pattern of agricultural product e-commerce industry is highly consistent with China's human and natural geographic factors, and shows the characteristics of regional agglomeration. 2) The spatial direction of industrial development shows a pattern of northeast-south (slightly eastward), forming a multicore circular structure with gradient diffusion from the center to the periphery, and the change and layout of the industry show a dependency on the established development path, presenting an unbalanced spatial distribution. 3) There is an obvious spatial heterogeneity in the driving effects of various factors for the agricultural product e-commerce industry, and there is a general tendency for the driving role of industrial structure factors, economic and social development factors, market potential factors, and government support factors to gradually decrease from east to west, and the driving role of infrastructure factors shows a tendency of gradual decrease from south to north. Based on the above conclusions, this article put forward the following policy recommendations: 1) Each region should primarily focus on exploring the market and stabilize the relationship between production and marketing for the development of agricultural product e-commerce. 2) The positive role of policy guidance should be further utilized to provide more positive externality inputs for the development of e-commerce in the western region. 3) Infrastructure development of agricultural products logistics should be further strengthened. 4) In the development of the industry, different regions need to take into account their own actual situation and implement targeted measures to avoid wasting resources.

Nature-based solutions (NbS) represent an efficient approach to utilizing natural resources while simultaneously protecting ecosystems, addressing the social, economic, and environmental challenges we face today. Recognized internationally as a cutting-edge method for ecosystem management, NbS can be effectively applied to the restructuring of rural spaces. This approach not only mitigates the ecological and environmental crises hindering rural development, but also unlocks the potential for rural growth, fostering comprehensive revitalization of rural areas. This study outlined the conceptual evolution of NbS, and explored the conceptual connotation of rural spatial restructuring based on NbS from the perspectives of various stakeholders, including local governments, village committees, rural business entities, and rural residents. The analysis was structured around four dimensions: ecological space, physical space, economic space, and social space. The research systematically examined the progress in restructuring the ecological space, physical space, economic space, and social space of rural areas through NbS, focusing on ecological conservation and landscape optimization, the optimization of production and living spaces, land consolidation and agricultural transformation, the commodification of natural landscapes, and balancing the needs and expectations of different stakeholders. The study concluded by suggesting future research directions, emphasizing the localization of NbS concepts, the establishment of multi-sectoral collaborative mechanisms, optimization strategies for resource and capital allocation, phased assessments of socioeconomic impacts, and the application of quantitative methods to measure socioeconomic benefits.

Inner Mongolia Autonomous Region (hereinafter referred to as Inner Mongolia) is an important ecological barrier in northern China. Under the joint drive of natural and human factors, the dynamic process of vegetation change in Inner Mongolia has significantly varied since the twenty-first century. However, there is still a lack of systematic quantitative research on the location, degree, and occurrence of abrupt changes in vegetation, and the contribution of different driving factors. This study selected six remote sensing vegetation indices and used the Theil-Sen trend, Mann-Kendall test, and Breaks for Additive Season and Trend methods to monitor the spatiotemporal patterns of vegetation greening and browning in Inner Mongolia from 2000 to 2022. The contributions of natural and human factors were quantitatively analyzed using the improved Residual Trends method and Partial Least Squares Structural Equation Modeling. The results show that: 1) From 2000 to 2022, 29.62%-36.96% of the areas in Inner Mongolia experienced vegetation greening, while only 0.36%-0.51% of the areas experienced browning. Positive abrupt changes mainly occurred in grasslands (35.9%) in the central and western regions and forested areas in the eastern region (25.7%), while 42.7% of the negative abrupt changes occurred in the western grassland areas such as Chifeng City and western Hulunbuir City. 2) Climate change dominated 88.8% of vegetation greening and 62.8% of vegetation browning in the study area, with 5.8% of greening and 14.8% of browning being dominated by land use. Both factors had positive effects on vegetation greening areas and negative impacts on browning areas. 3) For greening areas and browning areas, direct impact of temperature, soil moisture, population density, and land use intensity had dominant effects on most areas. The direct and indirect effects of various factors exhibited significant spatial heterogeneity in distribution. This study can provide a scientific guidance for the development of ecological restoration in Inner Mongolia.

Accurately quantifying the complex relationships between urban rail transit and residential property prices along its lines can help optimize land resource utilization and enhance residents' well-being. Taking Lanzhou City as a case, this study employed multi-source heterogeneous data to develop a methodology that integrates an Optuna-optimized XGBoost model with the interpretability techniques of SHAP-PDP. This approach aims to investigate the mechanisms through which subway characteristics influence housing prices and quantitatively analyze the interactive effects between subway characteristics and other key influencing factors. The results reveal that: 1) The XGBoost model outperforms decision trees, random forests, gradient boosting decision trees, and CatBoost, achieving an explanatory power of 77.29%, making its predictions more reliable. 2) Property management fees, betweenness centrality, vegetation coverage, density of transportation facilities, and density of financial institutions are the top five contributors to housing prices, collectively accounting for 46.07% of relative importance. Among subway-related characteristics, network centrality of subway stations exerts a significantly greater impact on housing prices than proximity to the nearest station. 3) The effects of distance to subway station, betweenness centrality, and closeness centrality on housing prices exhibit nonlinear characteristics with distinct threshold effects, indicating that the influence intensity fluctuates significantly with changing conditions. 4) Apart from property management fees, subway characteristics interact intricately with vegetation coverage, density of functional facilities, and building age, yielding positive interactive effects only within specific ranges. Therefore, maintaining various feature elements within optimal ranges is an effective approach to capturing land value premiums. The findings provide a theoretical reference for scientifically assessing the impact of rail transit on urban development, helping to avoid decision-making blind spots caused by information asymmetry. Additionally, they offer policy insights for achieving stable housing price regulation and enhancing the efficiency of urban spatial governance.

New quality productive forces act as a bridge for balanced economic development between urban and rural areas. This study analyzed the change of China's new quality productive forces using the panel data from prefecture-level cities spanning from 2011 to 2021. Through the application of mediation effect models and spatial econometric models, the study examined the influence of new quality productive forces on the urban-rural income gap, the mechanisms at play, and the spatial spillover effects. The results indicate that: 1) Since 2011, the overall level of new quality productive forces in Chinese prefecture-level cities had shown a steady upward trend, with significant spatial clustering characteristics. The various components of the new quality productive forces exhibited a "point and area clustering" spatial pattern. 2) The development of new quality productive forces had a significant positive impact on reducing the urban-rural income gap. This conclusion remained valid after robustness and endogeneity tests. 3) The results of the mediation effect analysis confirm that improvements in new quality productive forces in Chinese cities not only contribute to narrowing the urban-rural income gap overall but also affect the gap through mechanisms such as enhancing labor productivity and resource allocation efficiency. 4) The results of the spatial econometric analysis indicate that the development of new quality productive forces in China had a positive spillover effect on the urban-rural income gap. While it reduced the gap within a region, it also positively influenced the narrowing of the gap in neighboring regions. The enhancement of new quality productive forces is crucial for optimizing regional layouts. Moving forward, it is essential to integrate urban-rural coordinated development goals with the cultivation of these productive forces, emphasizing their positive impact on promoting urban-rural coordinated development.

Tourism destination is a core concept in tourism research and tourism practice, but the analysis of the trends, key directions, and theoretical bases of tourism destination research is not clear enough. In this case, neither researchers nor professionals have reached a consensus on the definition of a tourist destination. Although a few studies have conducted in-depth analysis of the keyword co-occurrence network and evolution of tourism destination research, there is a lack of coding, classification, and reflection of the research content. In addition, the exploration of the conceptual nature of tourism destination as a unit of analysis needs to be further developed to provide a fuller cognitive picture for the theorization of tourism destination. Therefore, this study used systematic literature review and bibliometric research methods to examine and reflect on the Chinese literature from 1998 to 2024. The results show that: 1) The research on tourism destinations can be divided into four stages, the abundance and depth of the research topics are deepening, and the co-occurrence map also shows a concentrated trend in the time series, among which tourism image, destination residents, and rural tourism are the topics with high attention. 2) The meta-themes of tourism destination research include 23 categories, which can be divided mainly into five levels: tourism destination image, marketing and brand; tourist perception, attitude, and behavior; rural tourism host and guest perception and culture; tourism destination patterns, processes, and mechanisms; and heritage tourism destination governance and residents' livelihood. 3) The research on tourism destinations is mainly carried out under the paradigm of tourism management and tourism geography, and the related theories of life cycle, glocalization, and social construction are insufficient to understand the complexity of tourism destinations, while the emphasis of social-material theory on networks, heterogeneous actors, and relationship effects provides another possibility for understanding the integrity and dynamics of tourism destination reproduction. This study aimed to clarify the genealogy of tourism destination research and deepen the theoretical exploration of the conceptualization of tourism destination.

The rise of digital social media platforms has fostered the rapid increase of new farmers short video creators, propelling rural revitalization. Taking Douyin platform as an example, this study explored the spatial distribution characteristics of these short video creators in Guangdong Province through kernel density analysis and exploratory spatial data analysis. It further analyzed the configuration paths that influence their agglomeration and high-quality development using entropy-weight TOPSIS and fuzzy-set qualitative comparative analysis (fsQCA). The results show that: 1) The overall distribution of new farmers short video creators presents a spatial pattern of "one main center and two sub-centers". Guangzhou is the main center with large number of participants and excellent quality of short videos, while Maoming and Chaoshan are the sub-centers with high concentration of participants and high quality of products. 2) Spatial dependence exists, with a "dense in the central area, sparse in the east, transitional in the west "trend in numbers and the quality is characterized by distinct transitional and secondary cold spot areas, alternating with hot and cold spot areas. 3) The synergistic effects of infrastructure, innovation factors, policy support, industrial scale, economic development, agricultural scale, and human resources have led to three configuration mechanisms: the all-factor double-optimal model, the environmental factor-driven growth model, and the technological factor-driven quality improvement model. These mechanisms have emerged as the key factors that influence the spatial differentiation of new farmers short video creators in Guangdong. This study sheds light on the development mechanisms of new farmers short video creators, offering insights for digital rural construction and talent cultivation in China.

The non-grain production of cultivated land in China is becoming increasingly severe. A comprehensive understanding of the patterns of change and formation mechanisms of non-grain production of cultivated land is of great significance for enhancing cultivated land protection and ensuring food security. Currently, there are diverse perspectives and methodologies for measuring non-grain production yet the results vary significantly, and comparative and integrated research on various measurement methods remains inadequate. Therefore, this study employed a meta-analysis approach to statistically examine 207 existing research articles, revealing the characteristics of change and driving mechanisms of non-grain production of cultivated land in China from 2000 to 2021. The findings are as follows: 1) The methods of non-grain crop area proportion, multiple cropping index, and autumn grain crop area are frequently used and widely applied, offering comparability at the national, regional, and provincial scales, which can be considered preferred methods for measuring non-grain production of cultivated land. 2) During the study period of this research, the rate of non-grain production of cultivated land in China remained stable at around 30.0% overall, with a slight downward fluctuation. Among the nine major agricultural regions, the Northeast China Plain, the Huang-Huai-Hai Plain, and the Loess Plateau had non-grain production rates below 30.0% that remained relatively stable, the rate of non-grain production of cultivated land in South China was higher than 50.0% and the increase was larger, while in other regions the rates were in the range of 30.0% to 50.0%, with a general increase of 10.0% to 20.0%. The rate and growth of non-grain production of cultivated land were both lower in the northern grain crop planting regions than in the southern regions, which gradually increased in the main grain-producing areas, grain balanced areas, and main grain-marketing areas. At the provincial level, non-grain production exhibited a dynamic process characterized by clustered incremental increases and phased differentiation. 3) Non-grain production of cultivated land in China is influenced by multiple factors, including natural environment, economic development, social activities, policies, and technology. Through the foundational, bidirectional, driving, and regulatory effects of common and differential factors, the driving effects of non-grain production of cultivated land such as background, catalytic, enhancement, and retardation effects are formed. This study supports the viewpoints of many scholars, provides data references for in-depth research on the socioeconomic and natural environmental effects of non-grain production, and proposes optimization strategies for the effective implementation of scientific measures to manage non-grain production of cultivated land.

In the context of climate warming, the risk of extreme rainfall-induced flash floods has become one of the major constraints on sustainable socioeconomic development. This study focused on the Magui River Basin in western Guangdong Province to investigate the impact of land surface changes on extreme rainfall-flash flood hazard. First, a regionalized extreme rainfall-flash flood numerical model was constructed to simulate flood inundation characteristics under extreme rainfall scenarios. Subsequently, multi-source remote sensing data were used to interpret the characteristics of human construction activities, river engineering activities, and natural factor changes, and different land surface change scenarios were established. Finally, based on the relationship between extreme rainfall-flash flood hazards and land surface characteristic changes, the quantitative impact of land surface changes on flash flood hazards was analyzed. The results indicate that within the study area, human construction activities had a significantly greater influence on flash flood hazard changes than natural factors, with river engineering activities, particularly channel widening, showing notable effectiveness in extreme rainfall-flash flood hazard prevention and control. Specifically, when the area of river engineering activities increased by 5.72%, the high-risk and medium-risk zones for extreme rainfall-flash flood hazards decreased by 11.53% and 7.99%, respectively. An increase in the Normalized Difference Vegetation Index (NDVI) from 0.19 to 0.58 (an increase of 0.39) resulted in reductions of 1.96% and 1.07% in these two risk zones, respectively. This study's findings can guide disaster prevention and mitigation engineering and regional planning at the watershed scale, in order to reduce regional extreme rainfall-flash flood disaster risks.

Based on Marxist productivity theory, cultural capital theory, and the connotation of new quality cultural and tourism productivity, an indicator system for evaluating the development level of new quality cultural and tourism productivity was constructed from three key elements: new quality cultural and tourism workforce, new quality cultural and tourism means of production, and new quality cultural and tourism objects of work. Spatial analysis methods such as entropy weight method, Dagum Gini coefficient and its decomposition method, and Markov chain analysis were used to estimate the development level, spatial-temporal pattern, and regional differences of cultural and tourism productivity in the provinces (municipalities and autonomous regions) of China during 2013-2022. The results show that: 1) The development level of new quality productivity of cultural and tourism industry in China showed an overall upward trend. 2) The regional distribution pattern was higher in the east, followed by the middle, and lower in the northeast and west. Regional difference was the main reason for the overall difference in the development level of cultural and tourism new quality productivity. 3) The development level of new quality productivity of cultural and tourism industry in each province was relatively stable, and there was a phenomenon of "club convergence". 4) High-level development provinces can drive the development of low-level provinces to a certain extent, which proves the existence of inter-provincial spillover effect. Based on the results, some recommendations were put forward, including enhancing the driving and supporting effects of demonstrations, formulating differentiated development strategies, and building cross-regional cultural and tourism innovation platforms.

As the impact of global warming continues to escalate, the number and severity of extreme weather events have increased significantly, posing a huge threat to life and property. Existing disaster research often focuses on single events and ignores their inherent complexity and cumulative impacts resulting from their association with other events. Therefore, we urgently need to have a deeper understanding of the patterns and mechanisms of extreme disaster events. To fill this research gap, this study extracted high temperature-heavy rainfall compound events from the meteorological observation data of 1886 stations in China's mainland from 1961 to 2020 and used Theil-Sen median slope estimation and Mann-Kendall trend test to explore their spatiotemporal distribution and change characteristics. The proportion of compound events in single events, the change cycle of compound events, the impact of urbanization on compound events, and the disaster risk assessment of compound events were explored from multiple perspectives. The main conclusions are as follows: 1) The high temperature-heavy rainfall compound events mainly occurred in the eastern monsoon region, and the frequency of events was greatest in the central Sichuan Basin. 2) The frequency of compound events across the country and in each climate zone increased significantly during the study period, especially after 1990. 3) The proportion of compound events in extreme precipitation events increased significantly after 1990. 4) The North China Plain, Huang-Huai, Jiang-Huai, Jiang-Han, Sichuan Basin, and South China coastal areas were at high risk of disasters, and the above areas urgently need to give priority to effective early warning and response strategies to mitigate the impact of compound events.

With the acceleration of urbanization, people's mental health is facing unprecedented threats. Urban blue-green spaces are increasingly emerging as crucial destinations for individuals to undergo healing processes. Consequently, investigating how therapeutic landscapes facilitate the enhancement of physical and mental well-being holds significant practical importance. At the present, research is gradually expanding to the interaction between humans and space or resources. However, the analysis of the relationship between urban blue-green spaces and human healing from the perspective of activity relationships is still relatively weak, lacking explanatory power and empirical exploration. This situation weakens the social influence and practical value of urban blue-green space research. The concept of therapeutic taskscapes emphasizes that participants interact with the environment through specific task activities, and empirical research on therapeutic taskscapes is needed to fill the theoretical gap mentioned above. This study focused on therapeutic taskscapes, summarizing its concept, dimensions, and measurement indicators through literature review and in-depth interviews. The empirical research was conducted in three urban blue-green spaces in Guiyang City, developing and validating a scale for assessing therapeutic taskscapes in urban blue-green spaces through questionnaire surveys. The research outcomes encompass: 1) Developing a scale system for therapeutic taskscapes, encompassing four dimensions—Atmosphere, Job crafting, Emotion engagement, and Embodied cognition—with 22 measurement indicators. The scale exhibits satisfactory reliability and validity. 2) Therapeutic taskscapes exhibit significant positive correlations with the constructs of flow experience and restorative experience, indicating that the scale has good criterion-related validity. This study transcended previous qualitative research on therapeutic taskscapes, broadening the scope to empirical studies. It clarified the previously ambiguous concept of urban blue-green space therapeutic taskscapes and offered a standardized and reliable measurement tool for their quantitative analysis, which provides practical insights for the healthy development of urban blue-green space healing resources.

Cultural heritage sites are a comprehensive space constructed by a large number of signs and symbols, both material and immaterial, such as ancient architecture, folk customs, ritual traditions, and identity recognition. The Beijing Central Axis is located in the center of the old city of Beijing, with a total length of 7.8 km. It is not a single line, but a multidimensional dynamic space that encompasses multiple subjects, constantly constructing meaning, imagining symbols, and spreading narratives. It is a highly concentrated area of urban functions. Drawing on Lefebvre's dialectic of spatial triad, this study examined the spatial production characteristics and problems of the Beijing Central Axis from three levels—spatial practice, spatial representation, and representational space—through field research, case comparison, and social semantic network analysis. We found that protection of heritage and tourism practices driven by social factors and forces under the leadership of the government have reshaped the heritage and tourism space of the Beijing Central Axis, forming an important socialized structure of the current central axis space. This process is not only about the restoration and renewal of physical space, but also about the inheritance and innovation of social aspects and culture. However, this process is facing many challenges, including the high complexity of the heritage protection and management system, the lack of innovative interpretation of the overall value of the central axis, and an imbalance in the allocation of tourism space versus heritage space. Therefore, the relationships between power, interests, and cultural identity should be properly handled. In terms of heritage protection and management, the system should be further simplified, and a more efficient multisectoral coordination mechanism should be established; in terms of heritage value interpretation, the application of digital technology should be strengthened to enhance the accessibility and appeal of heritage; and in terms of public participation, the design of the tourism routes should be optimized to balance and enhance tourism space while enriching heritage space through diversifying community activities, education programs, and volunteer services.

Cultivating and guiding new quality productivity to empower the high-quality development of resource-based regions is an inherent requirement and important focus for advancing Chinese style modernization and modernization of national governance. This study incorporated new quality productivity into the theoretical analysis framework for high-quality development in resource-based regions, systematically expounded the theoretical basis for new quality productivity empowering the transformation and high-quality development of resource-based regions, and empirically examined the mechanism and effects of new quality productivity empowering high-quality development of resource-based regions using benchmark regression models, multiple mediation effect models, and spatial Durbin models based on the panel data from 23 resource-based cities in Northeast China from 2010 to 2022. The research findings indicate that: 1) The promotion effect of new quality productivity on high-quality development of resource-based regions was significant, and this effect exhibited characteristics of regional differences, differences in development stages, and structural heterogeneity. 2) New quality productivity provided a solid foundation for the realization of high-quality development of resource-based regions through multiple channels such as technological innovation, industrial structure transformation and upgrading, and optimization of resource factor allocation, among which the mediation effect of industrial structure upgrading was the most significant. 3) New quality productivity had a positive spatial spillover effect on the high-quality development of neighboring resource-based cities. These findings not only help to theoretically clarify the connection between new quality productivity and high-quality development of resource-based regions, enrich the sustainability assessment framework of new quality productivity from the perspective of high-quality development of resource-based regions, but also help to guide local governments in formulating differentiated development strategies at the practical level, providing a policy basis for coordinating new quality productivity and advancing the tasks and goals of Chinese style modernization and modernization of national governance.

China is entering an era characterized by severe aging and high population mobility. Identifying regional types of population aging from the perspective of population mobility is essential for the effective implementation of national strategies aimed at addressing aging-related problems across various regions. This study proposed a method for categorizing regional types of population aging by integrating the composite index method of population mobility with elderly population location quotient. Using county-level data from the fifth, sixth, and seventh Chinese censuses, the study identified regional types of population aging across Chinese counties from 2000 to 2020, classifying them into seven categories: aging-in-place, (reverse) accumulation, (reverse) congregation, and (reverse) recomposition. Subsequently, a multiple linear regression model was employed to analyze the factors contributing to population aging in different regional types. The conclusions are as follows: 1) The spatial distribution of aging-in-place counties has significantly contracted, with the Huang-Huai-Hai region, Yunnan-Guizhou Plateau, and southern areas of Zhejiang, Jiangxi, Hunan, and Guangxi identified as the primary regions. 2) The distribution range of accumulation counties has expanded to the Northeast, Chengdu-Chongqing region, mid-Yangtze River Basin, and most part of of Gansu Province, while reverse accumulation counties are primarily located around the Pearl River Delta, Qinghai-Tibet Plateau, and southern Xinjiang. 3) Congregation counties are mainly urban districts within prefecture-level cities or county-level cities, while reverse congregation counties are concentrated in the core areas of the Beijing-Tianjin, Yangtze River Delta, and Pearl River Delta urban agglomerations. 4) Recomposition and reverse recomposition counties are mainly distributed in the northwestern half of the Hu Line, with the number of recomposition counties decreasing while reverse recomposition counties increasing. 5) Population aging in aging-in-place counties is primarily determined by regional socioeconomic development; population aging in congregation and reverse congregation counties is mainly influenced by population inflow; in accumulation and reverse accumulation counties, population outflow has altered the regional aging process; and in recomposition and reverse recomposition counties, the aging process is affected by both population inflow and outflow.

With the development of the country and the progress of society, China's medical resources have become increasingly advanced. However, due to regional differences, there still exists an imbalance in the distribution of medical resources. Accessibility, as an effective tool, is often employed by scholars to measure the spatial balance of medical resources. With the increasingly common practice of long-distance medical treatment seeking, it has obvious scientific significance and application value to explore the accessibility of high-quality medical resources at the regional level. Considering the increasingly prominent position of high-speed railway in intercity passenger transportation, this study took the Yangtze River Delta region as an example to examine the high-quality medical resources accessibility issue. The cumulative opportunity method and hierarchical two-step mobile search method (H2SFCA) were used to analyze the accessibility of regional high-quality medical resources under road transportation and land transportation considering high-speed rail, respectively, and to explore the impact of high-speed rail on accessibility. The results show that: 1) The accessibility of high-quality medical resources in the Yangtze River Delta is generally high in the east and low in the west. With the increase of the time threshold, the core-periphery pattern of accessibility becomes prominent, and the region around Taihu Lake becomes the center of high accessibility because it is located in the enclosed area of Shanghai, Nanjing and Hangzhou. 2) High-speed rail shortens travel time and improves the average cumulative opportunity accessibility of high-quality medical resources in the Yangtze River Delta; At the same time, the number of people served by the top three hospitals increased, the supply and demand ratio of medical services decreased correspondingly, and the average H2SFCA accessibility of high-quality medical resources in the region decreased. The accessibility of the study units along the Beijing-Shanghai, Nanjing-Anqing, and Hefei-Hangzhou high-speed railways is significantly improved under the influence of high-speed railways, and the high accessibility values show a high-speed rail directivity when considering the land transport modes of highway and high-speed railways. 3) The cumulative opportunity method only considers the number of medical resources, and the municipality directly under the central government (Shanghai) and the provincial capitals are the centers of high accessibility at different time thresholds; Considering the supply and demand of hospitals and residents' choice of medical treatment, the H2SFCA accessibility in Shanghai and provincial capitals is significantly lower than the cumulative opportunity accessibility, showing a dip at the time thresholds of 2 h and 3 h. The supply of high-quality medical resources in Shanghai, Hefei, and Hangzhou is relatively insufficient, and hierarchical diagnosis and treatment should be continuously promoted, the referral mechanism should be optimized, and the pressure of high-level medical institutions should be reduced.

Promoting cross-border railway infrastructure connectivity with neighboring countries holds significant strategic importance for China, but the geopolitical strategies of these neighbors often lead to setbacks in cross-border railway cooperation. Existing studies often use a single or the same theoretical framework to explain the geopolitical strategies of different countries, which is not conducive to clarifying the reasons behind the differentiated states of cross-border railways in various countries. This study applied multiple analytical frameworks based on national regime characteristics, comprising the theories of hedging, two-level game, and shatter belt. Through case analyses, it categorically investigated the impact of neighboring countries' geopolitical strategies on cross-border railway construction. The findings are as follows: 1) Based on the hedging theory, neighboring countries seeking a balance between security threats and economic interests affected railway construction. Kazakhstan maintained neutral hedging between Russia and China, while Laos enhanced active hedging with China to mitigate the influence of Vietnam, leading to the successful operation of the China-Kazakhstan and China-Laos railways. Conversely, the China-Vietnam railway faced setbacks due to Vietnam's "bamboo diplomacy". 2) According to the two-level game theory, political elites playing the game at domestic and international levels influenced railway projects too. Despite China's active promotion of cooperation, the China-Kyrgyzstan-Uzbekistan, China-Pakistan, China-Nepal, and China-Thailand railways were hindered by frequent domestic regime changes in recipient countries and external power interferences. 3) The shatter belt theory indicates that lack of unity and stability of neighboring countries leads to stagnation of cross-border railway projects as well. As the fragmentation situation in Myanmar intensifies, the construction of the Myanmar section of the China-Myanmar railway has been put on hold. Based on these findings, policy recommendations are proposed: First, China should increase aid to countries engaged in active and neutral hedging and guide neutral countries towards active side; for countries engaged in negative hedging, we need to prevent strategic backsliding while enhance "soft connectivity". Second, for countries where the two-level game theory is applicable, it is advisable to deepen domestic engagement to build consensus and prepare for geopolitical risks. Finally, for countries that can be analyzed through the shatter belt theory, we should prioritize "stabilizing political situation through economic means" to achieve consensus while timely implement security measures to ensure railway safety. These findings can provide valuable references for advancing cross-border railway cooperation between China and its neighboring countries.

Against the background of global warming and large-scale urbanization, heavy rainfall and flooding and urban waterlogging disasters in North China have become more serious, and the demand for disaster prevention and mitigation has become increasingly more pressing. Typhoons and typhoon-related weather systems are an important cause of extreme heavy rainfall in North China. On the basis of previous studies, a variety of literature was collected to identify the sequence of typhoons and heavy rainfall events in North China in 1668. The principle of inferring the past from the present was used to identify the possible typhoon long-distance rainfall events in North China in 1668, and their relationship with sea surface temperature (SST) was discussed. The results show that: 1) There were 9 typhoons in 1668, the earliest one was recorded around May 30, and the latest was around November 4, of which 4 mainly affected South China, and 5 mainly affected East China. 2) The summer of 1668 was overall wet and the occurrences of heavy rainfall events were high in North China, with heavy rainfall recorded in North China during 6 of the 9 typhoons. Three of these were recognized as long-distance typhoon storm events, one was a storm caused by a typhoon traveling northwards, and two were storms that may have been influenced by the typhoon. 3) The 3 typhoon long-distance rainstorms were the typhoon in Jiangsu and Zhejiang with heavy rainfall in Henan on July 25, the typhoon in Jiangxi and Zhejiang with heavy rainfall in the Beijing-Tianjin-Hebei region on August 11-13, and the typhoon in southern China with heavy rainfall in Hebei region. Among them, the heavy rainfall and flooding in the Beijing-Tianjin-Hebei region occurred in August 8-16, between the 5th and 6th typhoons, and caused severe flooding in Beijing, Tianjin, and Hebei, which was similar to that caused by the twin typhoons Dusu Rui and Kanu in July 2023. 4) La Niña was one of the main reasons for the high frequency of multiple typhoon events and flooding in North China in 1668, and the multiple typhoons brought more water vapor to North China than usual and contributed to the multiple heavy rainfall events in the region through the interaction with other systems. Double or consecutive typhoons affecting North China may exacerbate the risk of heavy rainfall and flooding. Therefore strengthening monitoring and early warning, and strengthening response measures are particularly important.

It is crucial for achieving the dual carbon goals and promoting high-quality urban development to reveal the heterogeneity of urban sprawl's impact on carbon emissions in the Yellow River Basin, and establish a scientific basis for coordinating urbanization with low-carbon development. This study evaluated the degree of urban sprawl based on long-term nighttime light imagery and LandScan population data, and empirically examined the impact of urban sprawl on carbon emissions and its spatial effects in 91 prefecture-level cities in the Yellow River Basin during 2004-2021 using the spatial Durbin model. It also used the geographically and temporally weighted regression (GTWR) model to assess the spatiotemporal heterogeneity of these effects. The findings demonstrate that, first, a pronounced spatial disparity and spatial aggregation in carbon emissions existed across the study region, with higher levels in the eastern part compared to the western areas. While aggregate carbon emissions continued to rise annually, the rate of increase has shown consistent deceleration. Second, urban sprawl exhibited both significant direct and indirect effects. This result suggests that urban sprawl not only affected the carbon emissions of a city itself but also had spillover effects on those of the neighbors. Third, urban sprawl contributed to the rise in carbon emissions through three principal pathways: expanding the quantity and scale of industrial enterprises, extending residents' commuting distances, and elevating household energy consumption. Finally, the impact of urban sprawl on carbon emissions showed an upward trend in temporal variation, with a dynamic change characteristic of homogenization-differentiation-homogenization. In terms of spatial heterogeneity, the impact of urban sprawl on carbon emissions was predominantly positive, high coefficients mainly concentrated in the midstream regions, and low values mainly occurred in both the upstream and downstream areas. From the perspective of spatial evolution, the impact of urban sprawl on carbon emissions was gradually increasing, especially in the middle reaches. Consequently, the effects of urban sprawl on carbon emissions showed distinct spatiotemporal heterogeneity, varying in impact intensity in both the temporal and spatial dimensions. Formulating differentiated spatial development plans tailored to urban realities may prevent disorderly urban sprawl and facilitate both high-quality urban development and the achievement of carbon reduction goals in the Yellow River Basin.

Urban vitality is the organic component and strong driving force of high-quality urban development. As a special area for national security and under the influence of multiple powers, the urban vitality of border cities is vulnerable to the comprehensive impact of complex geopolitical situations, domestic opening-up policies, and their own development conditions. This study constructed an urban vitality evaluation system composed of economic vitality, social vitality, and cultural vitality, attempting to measure the urban vitality of border counties in Yunnan Province in 2013, 2015, 2019, and 2022, explore their spatial differentiation patterns, and analyze the influencing factors with the help of Geo-detector. The results show that: 1) The urban vitality of border counties in Yunnan presented an obvious spatial heterogeneity, strong vitality was concentrated in the southeast of Yunnan while the west developed slowly, and the policy supports and COVID-19 pandemic had an important impact on local development. 2) The spatial agglomeration effect was significant, and the spatially correlated cooperation of adjacent regions was continuously enhancing and evolving with time. 3) Tourism development and foreign trade were the key factors affecting urban vitality, and the synergistic effect of factors changed significantly in different years. This study extended the theory of urban vitality to border cities and built an assessment framework based on the geographical characteristics of the border. The results provide a useful reference for the sustainable and healthy development of border areas.

Exploring the patterns of change and influencing factors of business is an important basis for promoting the high-quality development of winter tourism destinations. Taking Chongli District of Zhangjiakou City, one of the venues for the Beijing Winter Olympics, as a typical winter tourism destination, this study constructed an industrial system for ice and snow tourism destinations, which took the core dominant formats as the main body to output major tourism products, used the extended synergistic formats to improve the market operation environment, and employed the supporting auxiliary formats to shape the basic development environment. It also clarified the functional relationships among different levels of industrial subsystems. It selected its point of interest (POI) data from 2005, 2010, 2015, 2022, and 2023 and used the ArcGIS spatial analysis method to analyze the spatial-temporal change characteristics of business in Chongli and its influencing factors. The results shows: 1) The number of POIs in the ice-snow tourism destination has demonstrated progressive growth from 2005 to 2023. Especially during the exponential growth stage driven by Winter Olympics preparations, all tourism sectors achieved unprecedented POI proliferation, particularly core dominant sectors that manifested the most substantial quantitative expansion. It also showed a stable development in the high-quality development stage. Significant spatial variations in business distribution have been observed, characterized by predominant concentration within southeastern townships and sparse distribution in northern regions, with dense clustering in southern areas. 2) Chongli's business formats exhibited an agglomerated spatial pattern, transitioning from a "single-core with multiple nodes" configuration to a "dual-core and dual-belt" structure during the study period, with progressively intensified clustering. Spatial diffusion analysis revealed that the distribution centroid is located at the boundary between Hongqiying Township and Xiwanzi Town on the whole. The standard deviational ellipse displayed a distinct northeast-southwest orientation, indicating pronounced directional spread. Spatial correlation analysis demonstrated strong positive spatial interdependence, with prominent clustering features. Low-low clusters significantly decreased, while high-high and high-low clusters gradually increased, indicating enhanced development levels across business formats. 3) The spatiotemporal change of winter tourism destination business formats is mainly driven by the combined effects of multiple factors: distance from administrative centers, socioeconomic development levels, collaborative development with tourism enterprises, transportation network distribution, altitude, slope, sports, and the winter Olympics policy impacts. Particularly during the rapid development stages, administrative centers and ice and snow policies played crucial catalytic roles in accelerating business format development, with the driving force gradually shifting to tourism-oriented enterprises as the primary growth engine.

Raising income levels and narrowing theurban-rural income gap is an important path to realize the well-being equity and common prosperity of urban and rural residents in national key ecological functional zones. This study focused on the national key ecological functional zones in China, comprising 410 counties. Dagum's Gini coefficient, kernel density estimation, and the multiscale geographic weighted regression (MGWR) model were used to measure the changes in urban and rural residents' incomes spatially and temporally, with a focus on the dynamic evolution of spatial differences in the urban-rural income gap (URIG). This study also identified factors that influenced the URIG and analyzed their roles over the past 10 years within the ecological functional zones. The results show that: 1) In the past 10 years, the income of urban and rural residents in the study areas has doubled overall, but it was still lower than the national average income level. The absolute income gap between urban and rural residents in the study areas, as well as the average incomes of urban and rural residents in China, was almost three times greater in 2020 than in 2010. The growth rate of income in urban and rural areas was highly consistent with the income growth rate in urban and rural areas across the country, and the growth rate of rural income level was faster than that of urban areas. 2) During 2010-2020, the overall income gap between urban and rural areas has dropped from 3.43 to 2.58, and the narrowing rate was greater than the national average level. By 2020, it basically kept pace with the national average level, tending towards common prosperity. The urban-rural income gap on the eastern and western sides of the Hu Huanyong Line was narrowing. The urban-rural income gap on the eastern side of the line was lower than that on the whole country, while the income gap on the western side of the line was higher than that of the country as a whole; The urban-rural income gap on both the northern and the southern sides of the Qinling-Huaihe Line was narrowing, with the urban-rural income gap in the south higher than that on the whole country, while the income gap in the north remains synchronized with the national average level. 3) The overall spatial difference in the level of urban-rural income gap has gradually narrowed, but there are still large differences. The urban-rural income gap in the eight key ecological functional zones all showed a narrowing trend; the urban-rural income gap extremes between the 23 functional areas also showed a narrowing trend. 4) Factors such as increases in aging rates, population density, urbanization rates, per capita Gross Domestic Product (GDP), per capita household savings, and normalized difference vegetation index (NDVI) all contributed to the decrease in the URIG. Increases in the ratio of added values from secondary and tertiary industries, per capita fiscal expenditure, employment rates, and the concentration of PM_2.5 delayed the reduction of the URIG. Significant spatial heterogeneity characterized the effects of different influencing factors on the URIG. This study provides fundamental understanding and policy insights for fostering urban-rural integration and regional common prosperity in ecological functional zones.

The environmental vulnerability of the Qingzang Plateau constrains the development of agriculture and animal husbandry, and the local knowledge drawn from the history of agricultural and pastoral activities has given rise to an adaptive and localized development model that is increasingly valued in regional sustainable development practices. This study focused on the agropastoral systems in eastern Qingzang Plateau, a region with distinct geographical and cultural characteristics. Based on field interviews and using a methodological framework of contextual knowledge tracing, case analysis, and systematic exposition, this study explored the human-environment relationship as embedded metaphorically in local knowledge and its implications for sustainable development. The results show that: 1) Constructing a "knowledge-behavior" sustainability framework for agropastoral areas, the study analyzed local knowledge on the Qingzang Plateau and found that agricultural and pastoral production modes shaped by Tibetan Buddhist norms, natural productivity constrained by historical experience, and household production behavior influenced by folk beliefs together constitute three dimensions of the human-environment relationship that metaphorically underpin the sustainable development of agriculture and animal husbandry on the Plateau. These dimensions operate on the human-grassland system in alpine regions through multiple mechanisms, including the regulation of grassland resource use, the adjustment of production objectives, and the organization of household production behaviors. 2) The case of Lageri Village reflects localized agricultural-pastoral practices, where ecological perceptions, family-based cultural values, and neighborhood mutual assistance are increasingly integrated with external knowledge. The shift of local knowledge towards locally grounded community of shared future knowledge of universal relevance has been externalized in herders' production and utilization practices, organizational and managerial arrangements, as well as in the application of technologies and institutions, manifesting an agricultural and pastoral development pathway characterized by weak sustainability.3) The chained relationship among contextual factors, knowledge transformation, and behavioral externalization—with corresponding feedback mechanisms—manifests in human-environment coordination, knowledge empowerment, and the activation of local agency. The sustainable development model and its planning practice suitable for the Qingzang Plateau urgently need to systematically explore, scientifically translate, and apply local knowledge for the management of the territorial space on the Qingzang Plateau.

Based on 220 survey questionnaires collected from Hongni Village, Pingshun County, Changzhi City, Shanxi Province and the perspectives of positive tourism impact perception and negative tourism impact perception, combining the mediation effect of the interaction between hosts and guests and the moderating effect of place attachment, this study used the structural equation model and fuzzy set qualitative comparative analysis to examine the formation mechanism and improvement pathways of residents' subjective well-being in rural tourism destinations. The results show that both positive tourism impact perception and negative tourism impact perception directly affect subjective well-being. There exist some mediation effects in the above two pathways. Place attachment has a negative moderating effect on the positive perception of tourism impact and subjective well-being, and a positive moderating effect on the negative perception of tourism impact and subjective well-being. The simultaneous occurrence of high levels of positive impact perception and place attachment is the sufficient condition with strongest explanatory power for obtaining subjective well-being. The research results provide some practical guidance for revealing the mechanism of impact of subjective well-being and improving the subjective well-being of local residents in rural tourism destinations.