Urbanization has resulted in growing ecological pressures on cities, necessitating assessments of urban ecological quality. Long-term characterization of regional dynamics and drivers is critical for environmental management. This study proposes an enhanced ecological quality model (MRSEI) incorporating vegetation cover and EVI rather than just NDVI. The MRSEI model was applied to analyse ecological quality in Yulin City during 2000-2018 using Landsat TM/OLI data on Google Earth Engine. Geographic detectors also quantified anthropogenic and environmental influences on the study area. The results are summarized as follows: (1) MRSEI showed an average correlation coefficient of 0.840 with other indices, demonstrating higher representativeness than individual components. The principal component analysis indicated a 12.88% increase in explained variance. MRSEI also exhibited significantly improved identification of roads, villages, and unused lands over RSEI, better matching ground conditions, and suitability for regional ecological assessment. (2) During 2000-2020, the average MRSEI in Yulin City was 0.481, peaking at 0.518 in 2018, indicating general ecological improvement over time. Spatially, conditions were better in the southeast than northwest. While 38.81% of the area showed significant improvement, 10.15% exhibited significant deterioration, concentrated in western Dingbian and Jingbian counties, highlighting areas requiring enhanced protection. (3) Ecological conditions in Yulin City remained stable over time. High-high clusters were concentrated in eastern counties (Qingjian, Wubao, Jia, Fugu) and central lower-altitude areas near Yokoyama and Zizhou. Low-low clusters predominated in the northern Yuyang desert and high-altitude western Dingbian regions. (4) Enhanced vegetation cover had the greatest influence in improving Yulin’s ecological quality. Rainfall was the most impactful environmental driver, while precipitation and land use change interactions showed the strongest combined effects. In contrast, air quality had minimal explanatory power in Yulin City. (5) The MRSEI model significantly impacts the ecological assessment of urban areas, thereby enhancing urban ecological monitoring accuracy. Moreover, our analysis demonstrates applicability to watershed regions, facilitating comprehensive regional ecological assessment and monitoring.

Based on the attention restoration theory, this study focuses on rural tourists and utilizes questionnaire surveys to collect data. The research constructs a structural equation model to investigate the influence mechanisms among restorative environment perception, restorative experience, positive emotions, and experience quality. The study reveals that: (1) Restorative environment perception has a significant positive impact on the restorative experience and positive emotions of rural tourists. It serves as an important driving factor for improving the experience quality of rural tourists. (2) Restorative experience plays a significant mediating role between restorative environment perception and positive emotions. Restorative environment perception promotes the development of overall experience quality through the mediation of restorative experience and positive emotions. (3) Both the restorative experience and positive emotions independently mediate the relationship between restorative environment perception and experience quality, and they also play a chain-mediated role. Therefore, rural tourism destination managers should prioritize the restorative function of natural environments, improve the supply of high-quality products and services to enhance tourist restorative experience and positive emotions, and ultimately aim to continuously enhance the quality of tourist experience. This study has theoretical and practical implications for improving the tourism experience of rural tourists, optimizing the supply for rural tourism products, and promoting the high-quality development of rural tourism destinations.

This study introduces a novel framework to dissect and understand tourists' cultural perceptions within river basins. The framework consists of two complementary parts: first, it develops a multi-dimensional system to identify cultural perceptions through textual analysis; second, it uses advanced methods like deep learning and spatial clustering to analyze and compare these perceptions across different cities and regions. The findings from the Yellow River Basin reveal six key dimensions of cultural perception: historical, architectural, folklore, food, religious, and leisure. The basin exhibits three distinct cultural patterns: an upstream polycentric network, a central ‘cultural circle’ around Xi’an, and a city-to-city pattern downstream. Furthermore, the basin is categorized into ten unique cultural perception regions, each highlighting diverse tourist perceptions. This framework not only offers a methodological beacon for future regional tourism studies but also equips managers with strategic insights to enhance the quality and cooperation in river basin tourism development.

The revitalization of rural culture serves as the driving force and intellectual backbone for the overall resurgence of rural areas. Guided by the core values of socialism, this study delves into the exploration of effective methods for the transformation of the agricultural cultural heritage of ethnic minorities. This endeavor is not only of immediate importance in achieving the revival of rural culture but also plays a crucial role in supporting the development of agricultural heritage industries and catalyzing entrepreneurship in returning to and establishing businesses in rural regions. This article adopts a broad perspective, analyzing the current development status of the agricultural heritage of ethnic minorities in Heilongjiang. Through a thorough examination, it dissects the opportunities and challenges encountered in the creative transformation of this cultural heritage and endeavors to uncover effective strategies within the broader context of the rural revitalization strategy. The findings of this study indicate that there are some problems in the agricultural cultural heritage of ethnic minorities in Heilongjiang Province, such as insufficient excavation, weak synergistic development of agricultural culture and industry, and low integration. It is essential to construct a comprehensive agricultural heritage system for each ethnic minority in Heilongjiang Province. Furthermore, a combination of diverse approaches must be employed to strengthen the inheritance and utilization of agricultural cultural heritage.

The Turpan region serves as a vital transportation hub along the Silk Road, facilitating economic and cultural exchanges between the East and West. Its distinct natural environment, rich historical culture, diverse customs, and delectable fruits have contributed to the development of abundant tourism resources. Statistics show that Turpan boasts 272 tourism resource units and 36 A-level scenic spots, offering significant potential and opportunities for the growth of its tourism industry. This study conducts a SWOT analysis of regional tourism in Turpan and provides an objective evaluation of its strengths and weaknesses. The appeal of visiting Turpan lies in its rich historical and cultural heritage, as well as its location in the Huozhou Turpan, known for the country’s highest temperatures and lowest altitude. Additionally, the myths and legends of Journey to the West add to its allure. The region is renowned for its diverse grape varieties and is referred to as the “vineyard of the world,” offering a distinctive tourism experience. However, there are also evident drawbacks to tourism in Turpan. The peak tourist season is limited to July-October, which restricts the development of year-round tourism. Additionally, the distance between scenic attractions is relatively long, and the supporting tourism infrastructure is limited, failing to meet the varied needs of tourists. Additionally, the competitiveness of the tourism industry has not been effectively enhanced by the low brand awareness and loyalty among consumers. In order to ensure sustainable tourism development in the Turpan area, various strategies and approaches must be employed to ensure the unique and diverse growth of regional tourism. This includes creating suitable marketing plans, building a fully functional three-dimensional service management scheme, and enhancing policy support and financial investments. The tourism industry in Turpan is poised to benefit from new opportunities, leading to sustained development and enhancement of its economic, cultural, and social values.

Taking Shanghai as an example, this study obtained the online travel notes data from Xiaohongshu and Qunar in the past 10 years to construct the Shanghai tourist flow network (STFN) and used the methods of change point detection (CPD) and complex network analysis (CNA) to reveal the spatial structure characteristics of Shanghai tourism flow and the dynamic evolution process of STFN. The results showed that: (1) In the past 10 years, Shanghai tourist market had experienced a process of evolution from stable and orderly to short-term fluctuation and then gradual recovery, and the year of 2019 was the turning point of tourist flow network evolution. (2) The small-world and approximate scale-free characteristics of STFN were verified, and the network changed from disassortative to temporary assortative, showing a development trend of external expansion and internal separation. (3) While the centrality indicators of tourist flow network remained stable as a whole, the attention to cultural nodes was also increasing with the emergence of new nodes; (4) In terms of spatial connection, new popular nodes emerged and the relationship between them and the surrounding nodes was strengthened; (5) The spatial pattern of tourist flow network presented an inverted “V” shape and gradually expanded to southwest and southeast, forming a network with core nodes as the center and radiating outward. At the same time, newly emerging nodes at the periphery had formed relatively independent clusters.

This study examines the coupling and coordinated development of the competitiveness system of the convention and exhibition industry in China’s prefecture-level cities. Using an index system, the entropy weight method, and the coupling coordination degree model this study quantitatively measures and investigates the characteristics and influencing mechanisms of change in the convention and exhibition industry. The analysis shows that between 2013 and 2019, in China’s urban convention and exhibition industry, the competitiveness subsystem and its comprehensive development level have improved significantly. Additionally, among the factors influencing the convention and exhibition industry in China, the economic strength of cities exerts the greatest impact, followed by the capacity of the post and telecommunications sectors, while vitality has the least impact. The level of informatization plays a crucial role in the coupling, coordinated development, and change of the competitiveness system of an urban exhibition industry. Improvement in the competitiveness of the urban exhibition industry is closely related to a variety of resource elements. Each city should highlight its own endowment advantages and status, clarify its scale and positioning, and form a regional development pattern of differentiated development and dislocation competition with surrounding cities through the development strategy of consolidating advantages and addressing shortcomings.

Coal burning is the prevailing way of heating in winter in rural areas of northern China, especially in Beijing, Tianjin, Hebei and their surrounding areas. Regrettably, the direct burning of large amounts of bulk coal is a major contributor to the serious air pollution and frequent heavy pollution days in winter in northern China. It is urgent to find ways for promoting the smooth implementation and sustainable development of clean heating in rural areas, while ensuring affordable heating solutions for rural residents. Conducting research on the WTP of rural residents for clean heating and its influencing factors can provide greater technical support for better promoting clean heating in rural areas. Through field visits and questionnaire surveys in rural areas of Shandong, Hebei, Henan and Shaanxi provinces, data on the willingness of rural residents to pay for clean heating was obtained. A multivariate regression model was then constructed based on the Contingent Valuation Method (CVM) to measure and analyze the willingness of residents to pay for clean heating and its influencing factors. Findings reveal that the highest willingness to pay (WTP) was in Hebei at 2388 yuan and its lowest was observed in Shandong at 1595 yuan, with Henan and Shaanxi registering 1608 yuan and 1929 yuan, respectively. WTP is significantly negatively correlated with age and financial burden of clean heating costs after retrofit. WTP is significantly positively correlated with total household heating hours per year, total household heating area, total household income in 2023, affordable price increase, satisfaction with the overall clean heating project, satisfaction with gas (electricity) prices, satisfaction with heating equipment, and satisfaction with indoor temperature.

As a large province with forest resources, assessing the value of forest ecosystem services in Yunnan is of great significance to maintain the sustainable development of Yunnan’s economy. Based on the latest survey data of Yunnan Province, i.e., the forest resources type II survey data, and in accordance with the Specification for Forest Ecosystem Service Function Assessment (GB/T 38582-2020), the value of forest ecosystem service function of 16 cities (prefectures) in Yunnan was assessed, and the ridge regression method was used to study the main factors affecting the value differences among cities (prefectures). The results show that: (1) The value of forest ecosystem services in Yunnan is 982.926×10⁹ yuan yr^-1, of which the value of carbon fixation and oxygen release is the largest. (2) The top four cities (prefectures) in terms of value of services are Pu’er City > Chuxiong Prefecture > Diqing Prefecture > Dali Prefecture; the bottom four cities (prefectures) are Kunming City > Yuxi City > Dehong Prefecture > Zhaotong City; (3) The main factors affecting the value of the service function of each city (prefecture) are forested land area, forest cover, GDP and population density. The findings of this study provided a reference for the sustainable development of the ecological environment in the prefectures and cities of Yunnan Province.

As an effective way to transform the model of rural economic development and upgrade the industrial structure in the new era, the integration of agriculture and tourism can provide powerful support for expanding farmers' income sources and narrowing the gap between urban and rural areas. It is also an important path for promoting the rural economy and common prosperity of people. Based on 2008-2019 panel data covering 30 provinces and regions in China, the dynamic spatial Durbin model and threshold effect model are used to empirically analyse the effects and characteristics of the integrated development of agriculture and tourism on common prosperity. The results show the following: (1) The level of common prosperity and the integration of agriculture and tourism increased steadily during the study period and showed obvious spatial agglomeration characteristics. (2) The level of common prosperity was affected by the previous state, showing strong path dependence and dynamic persistence. (3) The integrated development of agriculture and tourism had a significant direct effect and spillover effect on the level of common prosperity. The integrated development of agriculture and tourism in neighbouring areas also promoted an improvement in the common prosperity of the local region. The direct effect was the strongest in the central region, and the spillover effect was the largest in the eastern region. (4) The influence of the integration of agriculture and tourism on the level of common prosperity presented certain threshold characteristics, and there was a typical stage and economic environment dependence. Overall, with the improvement in the integration of agriculture and tourism and the economic development level, the impact of the integration of agriculture and tourism on common prosperity was enhanced, but this disequilibrium effect also had typical regional heterogeneity. The conclusions can provide useful implications for promoting the high-quality development of the integration of agriculture and tourism to better promote common prosperity.

Generative Artificial Intelligence technology embedded brings new opportunities and challenges for the high-quality development of ice and snow tourism industry. Using literature and other research methods, we constructed the element linkage and system of generative AI technology to drive the high-quality development of the ice and snow tourism industry and proposed the digital governance path. The results showed that: (1) The factor linkage of high-quality development of ice and snow tourism industry with integrated basic structure and coupled central system of multi-factor linkage; multi-directional strategic objectives and synergistic triple benefits; and intelligent operation logic and precise matching of supply and demand has been constructed. (2) Based on the synergy of digital governance elements, a five-factor synergistic development system was built with digital talent elements, technological innovation elements, product innovation elements, data resource elements and channel innovation elements. (3) The synergy of elements provided digital governance path guidelines for the high-quality development of ice and snow tourism industry, digital governance system: precise supply of policies and regulations, and strengthening of soft and hard constraints to promote; digital governance structure: building a three-dimensional regulatory mechanism, and advancing the governance process of targeting; digital governance subject: driving the two-way reach of the governance subject, and strengthening the common governance of pluralistic subjects; digital governance capacity: precise allocation of governance resources, and driving the transformation and upgrading of elemental endowments. The results of this research can help to provide ideas and reference for the high-quality development of ice and snow tourism industry empowered by Generative Artificial Intelligence technology and improve the theoretical research on the high-quality development of ice and snow tourism industry.

Rough tourism growth does not promote dual-carbon goals nor the implementation of a comprehensive saving strategy. Accordingly, the booming development of the digital economy in recent years has provided new momentum for structural upgrades and green growth in the tourism industry. This study aims to test the impact and mechanism of developments in the digital economy on the green innovation efficiency (GIE) of the tourism industry. Using provincial panel data from 2011 to 2019, this study quantifies the GIE of the tourism industry using the Super-SBM model of unexpected output. In this study, the digital economy development index was measured using principal component analysis and empirically analyzed using a two-way fixed effects regression model. The results of the study revealed that the development of the digital economy has promoted in large part the improvement of Chinese tourism GIE; the enhancement effect of the digital economy development on the eastern region is more noticeable than that of central and western regions; the digital economy can promote the enhancement of Chinese tourism GIE by promoting innovation in green technology and upgrades to industrial structure. Moreover, a distinct threshold in the promotion of tourism GIE by the digital economy exists, corresponding to a nonlinear diminishing marginal product. This study provides a new perspective for assessing the impact of the digital economy on the development of tourism GIE. Moreover, it provides a policy reference for exploring the path of tourism GIE and realizing high-quality development.

This paper explores the pathway toward harmonious coexistence between humanity and nature through the lens of ecotourism, delving into its impact on tourists’ cognition of the natural environment, cultivation of emotional connections, and its pivotal role in shaping environmentally responsible behavior. At the Luya Mountain Scenic Area, a case study was conducted in July 2021, collecting 632 valid tourist questionnaires to investigate the nexus among “ecotourism experience”, “emotional experience”, and “environmental responsibility behavior” using structural equation modeling. Moreover, the relationship between tourism and daily environmental behavior was scrutinized with canonical correlation analysis. The findings unveil several substantial revelations: (1) Engagement experience significantly and positively influences tourists’ inclination toward responsible behavior. (2) Emotional experience mediates the relationship between educational, engagement, and escapism experiences and the inclination to act responsibly. (3) The utilization of digital information technologies positively moderates the conversion of emotional experience into a willingness to behave responsibly. (4) Ecotourism responsibility is linked to daily behavior, and cognitive and emotional experiences foster long-term environmental protection. This study provides a pioneering approach to enhancing tourism offerings within the scenic area and nurturing a sustainable human-environment relationship.

Improving rural multifunctionality (RM) is crucial for achieving the Sustainable Development Goals (SDGs) target of sustainable consumption and production. This study establishes a clear link between functional composition, interaction and urban-rural integration, constructs a system of indicators for evaluating RM, and examines the interactions between functions using Spearman’s rank correlation coefficient to determine the dominant function type. The results show that: (1) Villages in most counties in Henan Province are in the polarized or dominant development type. Only a few villages dominated by non-agricultural production are able to realize comprehensive and balanced development. (2) Functional and spatial differentiation exists in rural areas of different types of counties. The non-agricultural production function is more prominent in villages around cities, while villages in mountainous and hilly areas emphasize the ecological conservation function. The development of villages in plains and remote areas focuses on agricultural production function. (3) The relationship between RM is complex and diverse. Agricultural production often constrains other functions. The development of non-agricultural production functions has a positive effect on the improvement of social security functions. Cultural tourism and ecological conservation functions are mutually reinforcing. This study enhances the understanding of overall pattern and type differences of RM and provides valuable insights for formulating more targeted regional economic development policies in the future.

In the mass tourism era, the rising demand for personalized and high-quality experiences necessitates a distinct urban tourism image. This study examined tourists’ perceptions of Harbin during non-ice and snow seasons using network text analysis within the “cognitive-emotional-overall” framework and a ROST content mining tool. Our analysis of travelogues revealed that Harbin is seen as an exotic, culturally rich destination, yet tourists have limited awareness of its natural resources. While overall emotional responses from tourists were positive, facilities and services received some criticism. The views of tourists were primarily focused on popular urban sites, highlighting the need for diversification. This study contributes to the theoretical discussion on the formation of the city’s tourism image and suggests strategies that will allow Harbin to transition from a season-specific tourism model to a year-round tourism model, thereby enhancing its four-season destination brand in terms of infrastructure, industry innovation and market management.

Scientifically mitigating the ecological risks in tourist destinations is an important foundation for the healthy and sustainable development of tourist destinations. In this study, we summarize the progress of ecological risk research in tourist destinations at home and abroad and the internal logic of ecological risk research in tourist destinations. Current research adhered to an internal framework encompassing the following stages: formation and analysis of ecological risks in tourism destinations, exposure characterization, effect exploration, risk assessment, and risk management. Specific research results were summarized in four aspects: the analysis of ecological risk sources, assessment of acceptors and endpoints, ecological risk assessment, perceptions of ecological risk, predictions and management of ecological risks within tourism destinations. Future research should prioritize fostering a harmonious relationship between humanity and natural environment, which necessitates strengthening the foundation of a multidisciplinary theory. Future research should focus on the formation mechanisms of ecological risks in tourist destinations, the mechanisms of interaction among ecological risk sources, receptors, and endpoints, ecological risk assessments of tourist destinations based on multiple risk sources, ecological risk assessments of typical tourism destinations and their key exposures, enhancing the ecological risk assessment index system for tourist destinations by incorporating data from various sources, conducting simulation studies to develop ecological risk warning systems for tourist destinations, exploring the spatiotemporal scale coupling relationships of ecological risks in tourist destinations, examining the perceptions and attitudes of different stakeholders towards ecological risks in tourist destinations, evaluating the cost-benefit of ecological risk adaptation, and performing prevention measures in tourist destinations.

The spatial configuration of historical canal villages and towns is crucial to their overall structural framework. Moreover, it serves as a fundamental element in the manifestation of architectural style, the promotion of vitality, and the enhancement of environmental conditions. This study used Google Maps and field research to examine the spatial perception of Xiangxi Pushi Ancient Town by analyzing node space, street space components, and visual data. It investigates the spatial structure characteristics of ancient canal villages and towns at three levels: point-like space, line-like space, and point-line association. Furthermore, this study evaluates these characteristics based on three perspectives: macroscopic, mesoscopic, and microscopic. The text subsequently elucidates its formation mechanism, along with the cultural aspects of watersheds following the construction of canals. The results showed that the point space of Pushi Ancient Town is relatively complete; however, the overall structure is loose, and the core is not strong. The linear space utilizes the main street as its framework, while certain internal and external streets and lanes have isolation and insufficient connectivity. Simultaneously, some important nodes are marginalized, and the connectivity and overall synergy between the point and line spaces require improvement. This study provides a theoretical foundation and practical reference for examining the sustainable development of villages and towns, as well as watershed culture in the post-canal era.

Stray dog invasion caused by human activities poses a significant challenge to wildlife communities worldwide. Conservation biology efforts must prioritize controlling stray dog populations to maintain equilibrium within local wildlife communities. In the Helan Mountains, ungulate population recovery and the absence of top predators present critical issues. The presence of a stray dog as a predator may complicate ecological restoration efforts in the region. Through molecular and camera trapping data analyses, we investigated the overlap of ecological niches between stray dogs and local carnivores across nutritional and spatiotemporal dimensions. The results revealed a high overlap between stray dogs and local carnivores across various niches, likely linked to food abundance, suggesting the possibility of increased future competition between them. Stray dogs cannot be ignored when conservation of wild carnivores involved.

Realizing comprehensive green transformation is the necessary path for high-quality and sustainable development in Qinghai Province. We constructed an indicator system for evaluating the green development in Qinghai from five dimensions: resource utilization, environmental protection, ecological protection, growth quality, and green life based on the national green development indicator system; and comprehensively used the entropy method, comprehensive index method, coupled coordination model, and obstacle degree model to evaluate the green development level of Qinghai from 1998 to 2022. The results showed four important points. (1) The green development comprehensive index of Qinghai increased gradually in the past 25 years, but there is still much room for improvement. (2) The focus of green development changed in the three evaluation stages. The focus in 1998-2004 and 2005-2011 was on improving the ecological environment, and in 2012-2022 the focus was on economic and industrial development and the improvement of residents’ living standards. (3) Since 2001, the coupling degree of the five dimensions of green development has maintained a high-level coupling stage, and the coordinated development degree entered a good coordination stage in 2021. (4) The key obstacles hindering the improvement of green development level shifted from growth quality to resource utilization and ecological protection. Therefore, improving the resource utilization level is the primary task for Qinghai to achieve high-quality green development. The study provides methodological support for green development evaluation, and suggestions for directing the formulation of green development policies in Qinghai Province.

Identifying ecologically vulnerable areas is critical for constructing ecological barriers and precisely controlling ecological risks. With the rapid development of big data and Artificial Intelligence (AI) technologies, many intelligent methods have been developed to support the identification of vulnerable ecological areas. This paper reviews the methodological advancements in identifying ecologically vulnerable areas, including geographic zoning, expert integration, mathematical statistics, geographic information visualization, artificial neural networks, and unsupervised deep learning clustering methods. Additionally, we assessed several classic software tools used in ecology and natural resource management. Based on the review, several urgent research challenges for ecological function zoning research are proposed, such as the application of ecological vulnerability assessment intelligent algorithms, big data collaborative analysis, and the development of automated identification software. Considering the requirements in the Mongolian Plateau, this study proposes future development prospects of methods for identifying ecologically vulnerable area zoning, combined with the new AI research paradigm. They include enhancing the comprehensive analysis of multimodal data, increasing ecological barrier big data collaborative processing, advancing the interpretability of ecological function partitioning algorithms, developing automatic zoning software tools, and pushing the collaborative analysis of geographic big data and citizen science data.

The article uses a case study approach to investigate the mechanisms of ecological product value realization, and influencing factors. Specifically, we use a case analysis framework based on the “economy-society- natural ecology” perspective to analyze and compare the three batches of “Typical Cases of Ecological Product Value Realization” released by the Ministry of Natural Resources. We find: First, different modes of ecological product value realization exist. Different resource endowments, and institutional and environmental factors affect the selection of the value realization modes. Second, certain obstacles also exist for realizing ecological product value, which are mainly reflected in the fact that the articulation of the individual, society, and government is not yet sufficiently close. Third, to promote the development of regional eco-products’ mode and value conversion, the implementing party needs to guide the synergy between individual concepts, social participation, and governmental top-level design; rationally arrange the allocation of resource elements; mitigate elemental constraints; and propose effective technical means and optimization strategies according to the actual situation.

Existing studies of tourists’ behaviors of tourism destination focus on place attachment. Although tourists’ attachment is related to tourists’ emotional experiences at the attractions of a tourism destination (ATDs), the role that tourists’ attachment styles play in establishing their emotional experiences and behavioral intentions toward different ATD types have not been verified. This study used the Xijiang Qianhu Miao Village as a typical tourism destination to examine these effects. Based on research on attachment styles, emotional experiences, and behavioral intentions, a conceptual model of the relationships among tourists’ attachment styles, emotional experiences of, and behavioral intentions toward ATDs was constructed. The impact of tourists’ attachment styles between their emotional experiences of and behavioral intentions toward ATDs was then studied empirically. The impact pathways of tourist attachment styles on different ATD types were tested. The results indicate that tourists’ emotional experiences of ATDs had no significant or direct impacts on their behavioral intentions in terms of relationship closeness and diversive exploration. Both their emotional experiences of and their behavioral intentions toward ATDs were affected by the mediating effects of attachment anxiety and avoidance, which were full and partial, respectively. Further, the paths of the mediating effects of tourists’ attachment styles on the emotional experiences of and behavioral intentions toward different types of ATDs varied significantly. Tourists’ emotion-behavior paths when experiencing a TD were clarified, providing a theoretical basis to satisfy their real needs for experiencing ATDs.

Rural homestays are a vital component of rural tourism development. With the deep implementation of the rural revitalization strategy, rural homestays have increasingly become a focal point for young urban tourists. Based on the Stimulus-Organism-Response (S-O-R) model, this study systematically explores the impacts of the brand experience, information quality, and tourism atmosphere of rural homestays on the emotions and satisfaction of young urban tourists through an empirical analysis. The data for the study came from a questionnaire survey of various rural lodgings in the city of Beijing, resulting in 428 valid samples. Using Structural Equation Modeling (SEM), this study revealed that brand experience, information quality, and tourism atmosphere are external stimuli that significantly influence tourist emotions. Specifically, these three factors both enhance positive emotions and reduce or alleviate negative emotions. Furthermore, the positive emotions have a significant positive effect on tourist satisfaction, while negative emotions have a significant negative impact. Specific recommendations for rural homestay operations based on these findings are given. These recommendations will not only help to improve the market competitiveness of rural homestays but also provide valuable theoretical and practical insights for the sustainable development of rural tourism.

Based on data from Beijing museums spanning 1980 to 2020, this study employs spatial analysis methods such as geographical concentration index, imbalance index, kernel density and standard deviation ellipse characterize the temporal and spatial evolution of Beijing museums and analyze their influencing factors. The research shows that the museum development in Beijing has undergone three stages: a slow start, high-speed development and high-quality upgrading. The development of cultural relics and industrial museums tends towards balance, and the market-oriented development of museums continues to improve. The “single core” concentration distribution of Beijing museums is prominent, showing a typical “center edge” distribution with a trend of new core formation during expansion. Temporally, Beijing museums exhibit an inverted “L” evolution pattern, trending from north to east with Haidian and Chaoyang districts poised to become new centers. Distribution across intervals is uneven, yet the overall pattern is evolving towards a balanced distribution. The research on factors influencing the spatial distribution of museums, including population, resources, economy, and transportation, innovatively introduces educational factors. It shows that Beijing museums are transforming from “population driven” and “resource driven” to “education driven” over time.

This study investigates the adaptation capability of local indigenous communities and the obstacles to adaptation based on the ecosystem in the Kaptai Lake area in Bangladesh. The study is based on a semi- structured questionnaire survey among the purposively selected 150 respondents from the indigenous communities in three villages in the study area. A Focus Group Discussion (FGD) has been facilitated among the community leaders. The study identifies that ecosystem services are assessed on the socio-cultural dimension, behavioral compliance with management and policies, benefits from ecosystem services, conservation approaches, and sustainability evaluation. The respondents feel they benefited from the ecosystem in agriculture, fishing, small businesses, and tourism activities. The respondents emphasize several initiatives such as forest conservation, reducing illegal housing and deforestation, community participation, indigenous knowledge, diversified agriculture, and business activities. The FGD suggests sustainable agriculture, medical plant cultivation, ecotourism development, freshwater management, and reduced emissions. Several initiatives, such as benefits, regulation, preservation and adaptation, decision-making, and Indigenous knowledge, are essential for the adaptation capabilities of Indigenous communities based on ecosystem services. The study recommends natural ecosystems, protection of livelihoods, community participation, and investment in sustainable ecosystem services for ensuring the economic, social, and environmental well-being of indigenous communities.

High-quality development is essential for China’s modernization. The in-depth implementation of the new development philosophy has become crucial for promoting China’s development in the context of “domestic and international” double-cycle development. This study constructs an evaluation index based on the new development philosophy, measures the level of China’s high-quality development majorly from 2005 to 2020, dynamically examines the spatial and temporal pattern of China’s high-quality development on a multi-level spatial scale, and explores its influence mechanism with the help of the obstacle degree model. The results show that: (1) China’s high-quality development level has increased as a whole, with the high-quality development index rising from 0.056 in 2005 to 0.092 in 2020, with an average annual growth rate of 3.36% and an overall development pattern of “high level in the east and fast growth rate in the west”. (2) Spatial correlation, China’s high-quality development shows a significant positive correlation, with cities with higher levels of high-quality development concentrated in the eastern coastal region, the Pearl River Delta region, and the Beijing-Tianjin-Hebei region, and those with lower levels of high-quality development clustered in the western region. (3) In terms of dynamic evolution, China’s high-quality development level shows a small rightward shift, the polarization of high-quality development level is weakening, and the rightward trailing situation has been alleviated. (4) Obstacles to identifying the factors affecting China’s high-quality development include the amount of imports, exports, and the number of foreign direct investment contract projects. From the criterion level, openness and innovation are the biggest obstacles to high-quality development, and the obstacle degree of each criterion level shows significant spatial differentiation characteristics in the research period. The results can provide a scientific basis for China’s path to upgrading and building a modern socialist country.

The Three-River Source Region is an important ecological security barrier in China. Revealing the spatiotemporal evolution characteristics of its landscape types and ecological risks is of great significance for promoting ecological restoration and landscape pattern optimization in the Three-River Source Region. Selecting the Three-River Source Region for a case study and applying the land-use data from four periods (the 1990, 2000, 2010, and 2020), we constructed a landscape ecological risk assessment model for the region based on the landscape pattern index. We then quantitatively assessed the ecological risks and determined the characteristics of their spatial-temporal evolution. The results showed that: (1) The overall landscape ecological risk in the Three- River Source Region tended to decrease from northwest to southeast, and the distribution of landscape ecological risk was closely related to the natural plateau zones and the changes in land cover. (2) From 1990 to 2020, the areas covered by grasslands, water bodies, croplands, and construction land in the Three-River Source Region increased, while the areas of woodlands and unused land decreased. The spatial-temporal changes in the ecological landscape risk were consistent with the characteristics of the changes in the landscape types. The areas categorized as highest, higher, medium, lower and lowest risk areas, while highest and higher risk areas decreased by 9.76%, medium risk areas increased by 1.03%, lower risk areas increased by 8.99%, and lowest risk areas decreased by 0.26%, respectively. (3) Overall, the Three-River Source Region was dominated by very low to medium ecological risk, the areas of which accounted for more than 70% of the entire study area. Overall ecological risks are decreasing, and there is positive spatial autocorrelation of landscape ecological risks in adjacent evaluation units.

Awe, as a positive emotional experience, is recognized for its role in facilitating tourists’ pro-environmental behavior (TPEB). However, despite its significance, awe has received minimal attention in tourism-related research. This research introduces an expanded model of the theory of planned behavior (TPB) that integrates awe into the rational-oriented TPB framework to examine its impact on TPEB. We collected data at the Mount Huangshan scenic spot in China and employed structural equation modeling for data analysis. Findings suggest that the extended TPB model, which incorporates the emotion of awe, outperforms the original TPB model in predicting TPEB. Awe experienced in nature-based destinations is mainly influenced by the perception of the natural environment (PNE) and significantly predicts TPEB. Study findings offer an integrated framework combining emotional and rational perspectives to understand the factors driving TPEB in nature-based tourism. Furthermore, the study aims to establish connections between the psychological experience of awe and the philosophical perspective of the sublime. Importantly, our findings provide compelling evidence supporting the role of nature-based tourism as an effective model to facilitate tourists’ environmental attitudes, emotions, and behaviors. Finally, the implications for practice are discussed.

Rural tourism is an important means of comprehensively promoting the rural revitalisation of industry and practising the concept of “two mountains theory”. Rural tourism transforms the resource advantages of rural areas into economic advantages, but its development entails problems such as the unfair distribution of benefits, unclear distribution mechanisms, and the non-standardised compensation of benefits. Therefore, finding a mode of governance of rural tourism that can effectively achieve sustainable development is an urgent issue that warrants attention. Taking Jukou Township in Fujian Province as a case, this study constructs a logical framework linking the Eco-bank model and rural tourism governance and reveals the practicality and sustainability of rural tourism governance under the Eco-bank model. The study shows the following. (1) As a kind of innovative mechanism for achieving the transformation of resource value through the participation of multiple subjects, the Eco-bank model solves the development dilemma of rural tourism through the integration of decentralised resource management rights, the establishment of property rights constraints and supervision mechanisms for the coordination of stakeholder interests, and the linkage and development of internal and external resources of the countryside. (2) Jukou Township has built a resource operation platform for “ancient house Eco-bank” based on ancient house resources and ecological tourism resources. The construction of a rural governance mechanism that combines village collectives, new township elites, villagers, high-end art operation units, and multiple institutional governance entities effectively converts idle ancient houses and high-quality ecological tourism resources into assets and funds to promote the development and growth of the rural collective economy while effectively promoting the stable and sustainable development of the cultural tourism industry in Jukou Township.

Tracking and investigating tourist satisfaction and accurately identifying the key factors that affect tourist satisfaction have always been among the top priorities for academia and tourist attraction operators. With the rise of online travel, analysis based on online comments has become an important method for tracking and surveying tourist satisfaction. This article examined the online comments of tourists for the Panjin Red Beach Scenic Corridor Scenic Area (hereinafter referred to as Red Beach) on Ctrip as an example. Using natural language processing to classify the tourist evaluations into topics, the main topics of concern were identified as tourism services, tourism attractions, scenic area management, and tourism experience. Through the 5-level rating of Ctrip’s online gaming customer satisfaction, an analysis was conducted on tourist satisfaction and the topics of greatest concern to the tourists were ranked. The results showed that the satisfaction levels from high to low are: tourism experience, tourism attractions, scenic area management, and tourism services. Therefore, satisfaction with related content under the service topic was the lowest so this aspect urgently needs to be improved and enhanced.