Search Results (584)

Urban historic districts often present archaeological sites and historic buildings in a fragmented way, posing significant challenges for public understanding and enhancing heritage value. Solely physical conservation fails to fully communicate their cultural significance, while excessive commercialization often results in the erosion of cultural authenticity and the displacement of local communities. Drawing from cultural capital theory in sociology and cultural economics, this study redefines historical districts as sustainable urban cultural capital, comprising habituated, objectified, and institutionalized components. A Value Chain Model of Cultural Capital (VCMCC) is developed, consisting of three stages: cultural resource excavation, cultural asset cultivation, and cultural capital management. This model aims to empower heritage adaptive reuse and foster synergy between cultural heritage and economic development. Utilizing an embedded single-case design with longitudinal ethnography, the research focuses on the Western Han Archaeological Sites Historical District (WHAS HD) in Hanzhong, China. It involves multiple rounds of mixed-data collection from 2023 to 2025, on which design-based research is performed. This study operationalizes VCMCC through a series of spatially and socially grounded strategies. In the cultural resource excavation stage, superior resources are identified through a systematic review of historical archives, archaeological reports, and local gazetteers, along with surveys of architectural remains and spatial mapping. In the cultural asset cultivation stage, these resources are transformed into experiential and communicable cultural assets via a “one courtyard, one strategy” approach for activating courtyard functions, developing dual-theme heritage routes, and deploying digital interpretation tools. In the cultural capital management stage, a multi-stakeholder community committee is established, and binding institutional safeguards are integrated to ensure sustainable heritage adaptive reuse. Concurrently, a baseline indicator system covering three dimensions, cultural, social, and economic benefits, is developed to provide benchmarks for future post-intervention benefit evaluation and verification. The proposed and implemented VCMCC model translates cultural capital theory from an abstract explanatory framework into an actionable pathway for heritage adaptive reuse, offering theoretical and methodological guidance for the adaptive reuse of similar small and medium-sized historic districts. Full article

Existing studies have mainly focused on either intangible cultural heritage (ICH) or traditional villages separately, while limited attention has been paid to their coupled spatial relationship and influencing mechanisms at the provincial scale. To address this gap, this study investigates the spatial characteristics and influencing factors of 869 national and provincial intangible cultural heritage (ICH) items and 777 traditional villages in Yunnan Province using Geographic Information Systems (GISs) and geographic detector methods. The results indicate significant differences in their spatial distribution patterns: ICH exhibits a “multi-core clustering” structure, whereas traditional villages present a “dual-core clustering with multiple dispersed patches” pattern. The study further reveals a spatial mismatch as well as a significant positive spatial correlation between ICH and traditional villages. Natural environmental conditions and historical-cultural factors jointly shape their spatial differentiation, while socio-economic factors such as urbanization exert a stronger influence on ICH distribution, and demographic and economic conditions more strongly affect traditional villages. This study contributes to the literature by integrating cultural landscape theory with GIS-based spatial analysis to reveal the spatial interaction mechanisms between ICH and traditional villages in Yunnan Province. The findings provide theoretical support and practical implications for cultural heritage conservation, rural revitalization, and territorial spatial planning in ethnically diverse border regions. Full article

Currently, East Asia, especially South Korea, is facing social problems such as population decline and regional inequality. To address these challenges, tourism has been leveraged as a means of economic revitalization, especially in fishing villages that are economically disadvantaged. This study examined the authentic food experiences of tourists who visited fishing villages. Tourists’ food experiences, dimensions of destination food image, and destination loyalty were assessed. In September 2024, 448 responses from Korean tourists were collected and analyzed using confirmatory factor analysis and structural equation modeling to test 15 hypotheses. Local food authenticity showed a significant effect on all dimensions of destination food image. Of the five dimensions of destination food image in this study, food taste, health and hygiene, and unique cultural experiences significantly influenced destination loyalty. In addition, geographic differences moderated the relationship between local marine food authenticity and the perceived food image of the destination. Tourists in the southern coastal regions reported the highest destination food image ratings, driven by authentic local cuisine, while those in the western regions reported the lowest. This study offers both practical and theoretical implications related to sustainable coastal tourism. Full article

The sustainable transformation of idle built environments represents a critical pathway for advancing low-carbon development and achieving carbon neutrality targets. This study examines how idle rural building stocks may contribute to sustainable built environment systems through rural building repurposing and regeneration strategies. It introduces the concept of Green Rural Centers (GRCs), multifunctional facilities formed through the adaptive reuse of idle buildings that integrate low-carbon design, community services, and local economic functions. Within the proposed framework, GRCs are conceptually characterized as facilities that may: (1) achieve 50–70% reductions in operational energy demand through passive and renewable measures, (2) incorporate two or more community-oriented functions (e.g., education, governance, cultural services), and (3) demonstrate embodied carbon savings of ≥40% compared to demolition-and-rebuild scenarios. Grounded in fieldwork from Fujian Province, China, and aligned with national policies, the study evaluates spatial transformation, carbon mitigation, and institutional integration. Using a mixed-methods approach that combines scenario-based carbon-reduction estimation and appraisal, spatial analysis, comparative case studies, and policy evaluation, the findings indicate that retrofitting 30% of approximately 68,000 idle rural schools could achieve approximately 734,400 metric tons of cumulative CO₂ reduction by 2060 under the baseline scenario. Under conservative and ambitious implementation conditions, the estimated cumulative reductions are approximately 408,000 and 1,224,000 metric tons of CO₂, respectively. Sensitivity analysis shows that moderate improvements in retrofit quality or implementation rates significantly amplify emissions reduction outcomes. Beyond environmental performance, the proposed framework may also support community resilience, decentralized service provision, and socio-economic revitalization. This research reframes idle building stock as a strategic asset within sustainable built environment systems, policy-relevant exploratory framework potentially adaptable to comparable rural contexts. This study contributes to the sustainable built environment discourse by demonstrating how underutilized rural building stocks can function as broader low-carbon rural regeneration systems. Full article

Emotional well-being has become a central concern in contemporary educational research, particularly in contexts shaped by social and cultural diversity. However, dominant approaches to educational assessment continue to prioritize cognitive outcomes, often overlooking the affective dimensions of children’s everyday experiences. In this context, play emerges as a key yet underexplored process through which emotional well-being is constructed in childhood. This study aimed to analyze the role of play in the configuration of emotional well-being in sociocultural educational contexts from a sociocultural and relational perspective. A qualitative multiple-case study was conducted in two rural schools located in Mapuche territories in southern Chile, involving students, teachers, caregivers, and Mapuche knowledge holders (kimches). Data were generated through semi-structured interviews and focus groups and analyzed using inductive coding procedures supported by qualitative data analysis software. The findings indicate that play operates as a socioemotional ecology through which children participate in collective forms of life, construct relationships, and experience emotional well-being in interaction with others, territory, and culturally meaningful practices. Three interconnected dimensions emerged. First, play was experienced as a relational, territorialized, and culturally situated practice sustained through participation, collective interaction, and intergenerational transmission. Second, emotional well-being emerged through enjoyment, companionship, belonging, and opportunities for social participation. Third, well-being appeared as a situated experience dependent on access to meaningful spaces, material conditions, cultural repertoires, and opportunities for play. Participants also identified tensions associated with technological change, the reduction in free play opportunities, and transformations in community life, while highlighting the potential role of schools in revitalizing culturally significant play practices such as palín and linao. These findings suggest that emotional well-being is not simply an individual psychological state but a relational and sociocultural accomplishment emerging through participation in meaningful play practices. The study contributes to interdisciplinary debates on childhood, emotional well-being, intercultural education, and sociocultural approaches to development by proposing the concept of play as a socioemotional ecology. Full article

Existing studies have paid limited attention to the spatial integration of cultural heritage resources in mountainous regions. To fill this gap, this study analyzes 1479 cultural heritage sites in the Qinling–Bashan Mountains. The kernel density analysis results reveal a spatial agglomeration pattern characterized by high-density clusters, medium- to low-density extensions, and scattered peripheral areas. This study integrates the cultural corridor spatial potential model (CCSPM), the analytic hierarchy process (AHP), and the minimum cumulative resistance (MCR) model to identify the potential diffusion range of cultural heritage and assess the suitability of cultural heritage corridor construction. On this basis, an integrated cultural heritage corridor pattern is proposed, featuring “one corridor, two belts, two cores, and six zones.” On this basis, this study proposes targeted conservation strategies for cultural heritage corridors from four perspectives: cultural–ecological synergistic protection, cross-regional collaborative governance, digital revitalization of rural cultural tourism, and socio-economic governance. Overall, this study contributes methodological support for the systematic conservation of mountainous cultural heritage and provides a practical reference for rural cultural revitalization and the sustainable utilization of heritage resources in China. Full article

As artificial intelligence (AI) becomes increasingly important in rural revitalization, building consensus among multiple stakeholders and developing participatory digital co-creation platforms has grown increasingly urgent. However, existing large language model (LLM) systems predominantly adopt a one-shot generation paradigm, making it challenging to accurately capture villagers’ cultural aspirations and frequently resulting in a significant disconnect between design outputs and community expectations. This situation reveals deficiencies in progressive deliberation mechanisms and cultural controllability. To address these issues, this study proposes a multimodal Participatory Landscape Demand Generation (PLDG) system to enhance AI-generated dialogue controllability, facilitate effective cultural translation in sensitive rural contexts, and promote sustainable development where landscape design both drives and reflects rural revitalization. The system leverages LLMs to simulate stakeholder participatory interactions in village landscape design scenarios. Using culturally distinctive Chinese villages as case studies, the research conducts multi-role simulated dialogues, multimodal semantic extraction, and iterative consensus-building, and evaluates the resultant data to generate landscape design proposals. The results indicate that the PLDG system significantly improves participation efficiency among diverse design stakeholders and enhances the sustainability of design decisions. Compared to conventional methods, metrics such as cultural compatibility, villager participation, and design innovation show substantial improvements. These findings demonstrate the considerable potential of human-AI collaboration in future rural planning. This study introduces the Culture Constraint-Driven Rural Landscape AI Collaborative Design Framework (PLDG), validating its practical efficacy in identifying culturally sensitive elements, ensuring cultural congruence, facilitating community participation, and fostering design innovation. Consequently, it provides a reusable, iterative operational tool for the digital renewal of sustainable rural landscapes. Full article

The preservation and transmission of Intangible Cultural Heritage (ICH) face challenges posed by uneven spatial distribution, which are particularly evident in the Guangdong–Hong Kong–Macao Greater Bay Area. This study aims to enhance the protection, management, and revitalization of ICH by integrating spatial analysis with digital platform development. A methodological framework was established, encompassing ICH data collection, kernel density analysis, Thiessen polygon analysis, and transportation accessibility analysis. A prototype digital platform integrating GIS functionality was developed to demonstrate the feasibility of combining spatial analysis with cultural tourism services. The findings reveal significant spatial clustering and uneven distribution of ICH resources, exhibiting a “core–periphery” spatial pattern. The core density value in the Guangzhou–Foshan area is approximately 4.3 times higher than that in peripheral regions, indicating significant spatial disparity. The average area of core-area Voronoi polygons is less than 5 square kilometers, while peripheral areas exceed 50 square kilometers. Accessibility values inversely correlate with convenience: the shortest travel time in core areas is under 20 min, while peripheral areas exceed 60 min. This study not only enriches the theoretical framework for ICH protection and deepens understanding of its spatial distribution patterns but also provides innovative solutions and practical guidance for targeted ICH conservation, revitalization, and the application of digital technologies in cultural heritage preservation. Full article

Against the backdrop of China’s vigorous promotion of rural revitalization, traditional villages have become important carriers of rural tourism; however, their tourism development potential varies significantly. Using 182 traditional villages in Shexian County, Anhui Province, as the study area, this paper integrates multi-source data, including remote sensing, socio-economic, and online data. It constructs an evaluation index system from three dimensions: resource endowment, socio-economic conditions, and natural environment. Three machine learning models, namely, Random Forest (RF), XGBoost, and LightGBM, are employed to measure tourism development potential, and the optimal model is selected through comparative analysis. On this basis, the SHAP method is introduced to interpret the influencing factors and reveal the direction and mechanisms of their effects. The results show that (1) the LightGBM model performs best and is more suitable for evaluating tourism development potential of traditional villages; (2) service facilities, land resources, and transportation conditions are the most important influencing factors, while cultural resources and online attention also play significant roles; (3) the effects of different factors exhibit obvious nonlinear characteristics with interaction effects; and (4) the spatial pattern of tourism development potential presents a structure of “core agglomeration–transitional distribution–peripheral dispersion”. From the perspective of multi-source data and explainable machine learning, this study provides a systematic analysis of tourism development potential in traditional villages and offers a scientific reference for their differentiated development and conservation. Full article

Rural low-altitude tourism serves as an important carrier for the deep integration of general aviation technology and agricultural culture and tourism, driven by the comprehensive promotion of the rural revitalization strategy and the accelerated rise of the low-altitude economy. However, systematic sustainability assessment tools suitable for complex rural scenes remain lacking. This study aimed to fill this gap and constructed a multi-dimensional evaluation framework. The framework included five main dimensions: the integration of low-altitude general technology and digital infrastructure, the digital protection and activation of rural cultural heritage, the economic and social benefits of agricultural culture and tourism integration, ecological coordination and community inclusiveness, and airspace governance and policy support. Twenty-one secondary indicators supplemented these dimensions. The triangular fuzzy number-TOPSIS group decision method determined the indicator weights and reduced subjective uncertainty in expert evaluation. The TOPSIS method quantitatively evaluated and ranked five typical villages: Anji in Zhejiang, Yangshuo in Guangxi, Yuanjiajie in Hunan, Nantai in Gansu, and Lingshui in Hainan. The results show that Zhejiang Anji leads in comprehensive sustainability, followed by Hunan Yuanjiajie and Guangxi Yangshuo. Sensitivity analysis confirms the robustness of the ranking results. The innovation of this research lies in the integration of frontier elements such as airspace synergy efficiency into the evaluation framework. The application of triangular fuzzy number TOPSIS enhances the methodological rigor and robustness of the evaluation. This study provides practical insights for optimizing rural low-altitude tourism resource allocation, strengthening cultural heritage transmission, and promoting green transformation. Full article

Against the background of industrial transformation and urban regeneration in old industrial bases, understanding the spatial pattern and driving mechanisms of industrial heritage is essential for its conservation and sustainable use. This study investigates 277 industrial heritage sites in Liaoning Province (including nationally designated sites, potential heritage within cultural relic protection units at all levels, and sites recognized by the China Association for Science and Technology) using kernel density estimation, standard deviation ellipse, and the GeoDetector model. The results reveal a significantly clustered distribution characterized by “dense in central–southern Liaoning, sparse in the periphery,” forming three major agglomerations: the Shenyang core, the Anshan–Benxi–Liaoyang heavy industry triangle, and the Dalian coastal industrial belt. Temporally, the distribution shows distinct phases closely linked to industrial development history and major socio-political events. Land use, GDP, and climatic factors dominate the spatial differentiation, with GDP and annual average temperature exhibiting the strongest combined explanatory power (41.67%). Based on these dominant factors and the identified core agglomeration areas, differentiated protection and utilization strategies should be formulated for core versus peripheral areas, different industrial types, and various historical periods. This provides direct empirical evidence for industrial heritage management and cultural revitalization in old industrial regions. Full article

Historic and cultural districts are key carriers of urban historical continuity, and the historic buildings within them form the material basis for cultural inheritance and living conservation. Balancing heritage preservation with vitality enhancement has become a central issue in their sustainable renewal. This study examines three historic districts in Changsha—Chaozong Street, Taiping Street, and Xiwenmiaoping—using complex network analysis and multi-source data integration at the building scale to investigate building network structure, vitality distribution, and their spatial association. The results reveal distinct spatial patterns. Chaozong Street shows relatively good overall connectivity and a balanced, multi-nodal distribution of population activity and functional density. Taiping Street exhibits a strong main-street orientation, with both building connections and vitality concentrated along the main street and adjacent buildings. Xiwenmiaoping is characterized by strong local connections but weaker overall connectivity, greater reliance on a few key buildings, and vitality concentrated more at the edges than in the interior. Correlation analysis indicates a certain correspondence between building network structure and building vitality, although relationships vary across indicators; direct building connections show the clearest association with population activity intensity and functional density. The study suggests that vitality in historic districts is shaped jointly by network structure, spatial organization, and functional layout, and proposes targeted strategies for conservation and revitalization. Full article

Driven by the national Rural Vitalization Strategy, regional clustered development has become an essential approach to alleviate fragmented rural construction and shift isolated village governance toward integrated regional coordination. Against the research gap that most existing rural living environment (RLE) evaluations focus merely on individual villages while neglecting synergistic interaction within village clusters, this study aims to construct a targeted RLE performance evaluation framework from the perspective of cluster synergy, and further reveal spatial differentiation characteristics and developmental bottlenecks of rural settlements in metropolitan fringe tableland areas. Taking the Tangcun area of Bailuyuan in Xi’an as a typical case, this study adopts semi-structured interviews and qualitative grounded theory to extract core evaluation dimensions and establish a multi-layered RLE performance index system. On this basis, the Analytic Hierarchy Process (AHP) is employed to determine indicator weights and conduct quantitative performance evaluation. The results indicate that RLE performance presents an obvious topographical gradient following the pattern of tableland clusters > slope clusters > gully clusters, and exhibits a typical characteristic of non-material dimension convergence versus material dimension differentiation. The core constraints of local clustered development lie in unbalanced cross-cluster resource allocation, weak functional coordination, and the absence of sound public service sharing mechanisms. Corresponding optimization paths targeting spatial planning, facility allocation, ecological and cultural coordination, and multi-stakeholder governance are finally proposed. This study provides theoretical references and practical implications for RLE improvement and coordinated revitalization of similar loess tableland and metropolitan fringe village clusters. Full article

As Agricultural Heritage Systems (AHS) shift from recognition toward dynamic conservation and revitalization, understanding how visitors perceive heritage values is essential for improving interpretation and management. Guided by landsenses ecology, this study provides one of the first comparative assessments of visitor perceptions across different types of Tea Agricultural Heritage Systems (TAHS), using three representative cases in Fujian, China. A visitor-oriented framework integrating physical, psychological, and cultural perceptions was developed, and 600 questionnaire responses were analyzed through entropy-weighted fuzzy comprehensive evaluation. The results show that visitors generally perceived the three TAHS positively, but perception levels differed significantly across dimensions and heritage types (p < 0.01). Psychological perceptions, especially sense of safety, sense of space, and sense of belonging, were more readily formed, whereas deeper cultural perceptions, such as understanding of heritage cultural content and community cultural connections, remained weaker. These findings reveal a hierarchical pattern in which immediate sensory and psychological experiences precede deeper cultural cognition. Practically, the study suggests that TAHS conservation should move beyond resource protection by translating heritage values into identifiable, contextualized, and participatory visitor experiences through interpretation systems, community-based participation, and experiential presentation. Full article

In multi-ethnic villages, public space serves as more than just a venue for social interaction; it is the vital ground where cultural integration and community identity take root. This study examines Cizhong Village in the Diqing Tibetan Autonomous Prefecture of Yunnan, employing a mixed-methods approach that combines questionnaire surveys (N = 120), semi-structured interviews (N = 32), and Social Network Analysis (SNA) to compare the village’s planned spatial network with residents’ actual movement patterns. Findings reveal a significant structural mismatch: while the planned network exhibits higher density (0.32) and clustering (0.70), the behavioral network demonstrates a stronger small-world index (2.14 vs. 1.94), indicating that villagers organically form compact activity clusters around key social hubs such as the church and supermarket. QAP correlation analysis further shows that Tibetan and Naxi behavioral networks are highly similar (r = 0.833, p < 0.001), whereas Han networks exhibit weaker correlations (r = 0.527–0.607, p < 0.05), revealing a spatial pattern of “broad integration with localized ethnic preferences”. Grounded theory coding of interview data (55 initial concepts, 14 categories, 4 core categories) validates these structural findings and identifies the core theme of “superposed space of multi-ethnic dynamic sharing”. Based on these results, three optimization strategies are proposed: improving connectivity between public spaces, revitalizing key social hubs, and respecting established ethnic spatial traditions. These insights provide an evidence-based framework for managing public spaces in multi-ethnic rural communities. Full article