Search Results (293)

Biosphere Reserves (BRs), designated by UNESCO, are uniquely positioned to serve as model territories for sustainable development, as they aim to harmonize biodiversity conservation with the socio-economic vitality and cultural identity of local communities. This work examines the commitment of the Spanish Network of Biosphere Reserves to the United Nations 2030 Agenda and the Sustainable Development Goals (SDGs). Using a survey-based research design, this study assesses the extent to which the reserves have integrated the SDGs into their strategic frameworks and operational practices. It also identifies and analyses successful initiatives and best practices implemented across Spain that exemplify this integration. The findings highlight the need for enhanced awareness and understanding of the 2030 Agenda among stakeholders, alongside stronger mechanisms for participation, cooperation, and governance. The conclusion emphasises the importance of equipping all reserves with strategic planning tools and robust systems for monitoring, evaluation, and accountability. Moreover, the analysis of exemplary cases reveals the transformative potential of sustainability-oriented projects—not only in advancing environmental goals but also in revitalizing local economies and reinforcing cultural heritage. These insights contribute to a broader understanding of how BRs can act as dynamic laboratories for sustainable development and heritage preservation. Full article

In the era of generative artificial intelligence, writing has evolved into a programmable practice capable of generating sustainable narratives and preserving cultural heritage through poetic prompts. This study proposes “Writing Is Coding ” as a paradigm for sustainability education, exploring how students engage with AI-mediated multimodal creation to address environmental challenges. Using grounded theory methodology with 57 twelfth-grade students from technology-integrated high schools, we analyzed their experiences creating environmental stories and digital cultural artifacts using MidJourney, Kling, and Sora. Data collection involved classroom observations, semi-structured interviews, and reflective journals, analyzed through systematic coding procedures (κ = 0.82). Five central themes emerged: writing as algorithmic design for sustainability (89.5%), emotional scaffolding for environmental awareness (78.9%), aesthetics of imperfection in cultural preservation (71.9%), collaborative dynamics in sustainable creativity (84.2%), and pedagogical value of prompt literacy (91.2%). Findings indicate that AI deepens environmental consciousness and reframes writing as a computational process for addressing global issues. This research contributes a theoretical framework integrating expressive writing with algorithmic thinking in AI-assisted sustainability education, aligned with SDGs 4, 11, and 13. Full article

Early printed books, particularly incunabula, are invaluable archives of the beginnings of modern educational systems. However, their complex layouts, antique typefaces, and page degradation caused by bleed-through and ink fading pose significant challenges for automatic transcription. In this work, we present a modular pipeline that addresses these problems by combining modern layout analysis and language modeling techniques. The pipeline begins with historical layout-aware text segmentation using Kraken, a neural network-based tool tailored for early typographic structures. Initial optical character recognition (OCR) is then performed with Kraken’s recognition engine, followed by post-correction using a fine-tuned ByT5 transformer model trained on manually aligned line-level data. By learning to map noisy OCR outputs to verified transcriptions, the model substantially improves recognition quality. The pipeline also integrates a preprocessing stage based on our previous work on bleed-through removal using robust statistical filters, including non-local means, Gaussian mixtures, biweight estimation, and Gaussian blur. This step enhances the legibility of degraded pages prior to OCR. The entire solution is open, modular, and scalable, supporting long-term preservation and improved accessibility of cultural heritage materials. Experimental results on 15th-century incunabula show a reduction in the Character Error Rate (CER) from around 38% to around 15% and an increase in the Bilingual Evaluation Understudy (BLEU) score from 22 to 44, confirming the effectiveness of our approach. This work demonstrates the potential of integrating transformer-based correction with layout-aware segmentation to enhance OCR accuracy in digital humanities applications. Full article

Demre is one of the most important tourist destinations in Antalya province in terms of its natural and cultural heritage values, historical texture, and ecological diversity. Evaluating these potentials and managing them sustainably is of great importance. Management strategies that focus solely on improving ecological elements often fail to deliver the desired results because they tend to neglect the needs and perspectives of stakeholders. Participatory approaches are important for determining and prioritizing tourism strategies because they encourage participation and awareness, thereby facilitating the development of sustainable and effective management strategies. In this context, this study, which aims to contribute to the protection and sustainable management of tourism areas in Demre district using a participatory approach, conducted a SWOT analysis to assess the state of environmental management. Based on the data obtained, internal strategic factors scored 3415 points, while external strategic factors scored 2899 points. Ten sustainable tourism strategies were developed, primarily focusing on the SO strategy, which leverages the potential of the area by focusing on internal strengths and external opportunities, with the aim of increasing tourism opportunities in the region and developing and implementing effective management strategies. At the end of the study, tourism strategies were prioritized using the TOPSIS analysis. Full article

Digital transformation as a strategic goal is not new in the cultural heritage sector, yet it gained momentum due to COVID-19. This is reflected in policies and national strategies across Europe, where digitalisation is often seen as key to sustainable development. This study focuses on small heritage institutions in peripheral settings and explores the opportunities and limitations of digitalisation and its impact on sustainable regional development. A mixed-methods approach was applied, including a literature review, an online survey, focus groups, and a stakeholder interview, complemented by a case study. The findings show an uneven distribution of the perceived benefits, depending on funding, staff, and location. Nevertheless, digital transformation has positive social impacts by enhancing access to, participation in, and awareness of cultural heritage and therefore well-being. However, its economic effects in peripheral regions should not be overestimated. Digitalisation’s ecological impact on sustainable regional development is an underrepresented topic in the literature. Moreover, digitalisation is particularly challenging in peripheral regions and for smaller institutions with limited resources and should not be regarded as a guaranteed pathway towards sustainability. This paper contributes to an emerging field by examining the intersection of heritage institutions, digitalisation, and sustainable regional development in peripheral areas. Full article

Templestay programs in South Korea represent a unique convergence of Buddhist ritual, cultural immersion, and wellness tourism. While often treated as niche cultural experiences, their broader significance within sustainable wellness tourism remains underexplored. This study examines participant reflections from the Beomeosa Templestay program through thematic analysis of over 600 reviews sourced from TripAdvisor, Google Reviews, and handwritten guestbooks. Using a triangulated framework combining Grounded Theory, Symbolic Interactionism, and the Wellness Tourism Model, the research identifies four recurring experiential themes: spiritual development, emotional healing, cultural immersion, and conscious consumption. Findings reveal cross-cultural variations: non-Korean participants emphasized spiritual exploration and cultural learning, while Korean participants prioritized emotional renewal and reconnection with heritage. Yet, across all groups, participants reported transformative outcomes, including heightened clarity, inner calm, and enhanced self-awareness. These results suggest that Templestays serve as accessible, culturally grounded wellness retreats that align with rising global demand for intentional, mindful travel. This study contributes to sustainable tourism scholarship by framing Templestays as low-impact, spiritually resonant alternatives to commercialized wellness retreats. Practical recommendations are offered to expand participation while maintaining program authenticity and safeguarding the spiritual and cultural integrity of monastic hosts in an increasingly globalized wellness landscape. Full article

This study introduces an educational framework that merges 3D modeling with AI-assisted narrative interaction to apply digital technology in cultural heritage education, exemplified by an ancient carriage culture. Through immersive tasks and contextual narratives, the course notably improved learners’ professional skills and cultural awareness. Experimental results revealed significant knowledge acquisition among participants post-engagement. Additionally, the user experience improved, with increased satisfaction in the narrative interaction design course. These enhancements led to heightened interest in cultural heritage and deeper knowledge acquisition. Utilizing Norman’s three-layer interaction model, Ryan’s contextual narrative theory, and Falk and Dierking’s museum learning experience model, the study developed a systematic course for multi-sensory design and contextual interaction, confirming the positive impact of multimodal interaction on learning outcomes. This research provides theoretical support for the digital transformation of cultural education and practical examples for educational practitioners and cultural institutions to implement in virtual presentations and online learning. Full article

The TOWCHED project explores how arts and heritage-based educational methodologies can support sustainable development by enhancing key transversal competencies in learners, particularly children and youth. In response to the global challenges outlined in the sustainable development goals (SDGs), this project promotes inclusive and participatory approaches to education that foster social cohesion, intercultural understanding, and civic engagement. Partnering with museums, TOWCHED develops cross-curricular pedagogical interventions, such as experiential, blended, and collection-mediated learning, that link cultural heritage with contemporary social and environmental concerns. These approaches aim to strengthen creativity, critical thinking, collaboration, and self-awareness. TOWCHED demonstrates that heritage collection-based education can play a vital role in transforming schools and other learning environments into hubs for sustainable, lifelong learning. By embedding cultural expression and heritage into educational practices, the project offers a compelling model for empowering individuals to navigate and shape a more equitable and interconnected world. This paper has two aims. First, we introduce TOWCHED, an interdisciplinary project recently funded by the Horizon Europe program of the European Union to preserve and promote education for sustainability in the heritage context. Second, we introduce a set of tools related to the project. Full article

Nature-Based Solutions (NBSs) offer promising pathways to enhance ecological resilience and address urban water challenges, particularly in heritage cities where conventional gray infrastructure often fails to balance environmental needs with cultural preservation. This study proposes a strategic framework for the integration of NBSs into historic urban landscapes by employing Internal–External (IE) matrix modeling and an impact–uncertainty assessment, grounded in a structured evaluation of key internal strengths and weaknesses, as well as external opportunities and threats. The Internal Factor Evaluation (IFE) score of 2.900 indicates a favorable internal environment, characterized by the multifunctionality of NBS and their ability to reconnect urban populations with nature. Meanwhile, the External Factor Evaluation (EFE) score of 2.797 highlights moderate support from policy and public awareness but identifies barriers such as funding shortages and interdisciplinary coordination. Based on these findings, two strategies are developed: an SO (Strength–Opportunity) strategy, promoting community-centered and policy-driven NBS design, and a WO (Weakness–Opportunity) strategy, targeting resource optimization through legal support and cross-sectoral collaboration. This study breaks new ground by transforming theoretical NBS concepts into actionable, culturally sensitive planning tools that enable decision-makers to navigate the unique challenges of implementing adaptive stormwater and environmental management in historically constrained urban environments. Full article

Three-dimensional (3D) reconstruction has become a fundamental technology in applications ranging from cultural heritage preservation and robotics to forensics and virtual reality. As these applications grow in complexity and realism, the quality of the reconstructed models becomes increasingly critical. Among the many factors that influence reconstruction accuracy, the lighting conditions at capture time remain one of the most influential, yet widely neglected, variables. This review provides a comprehensive survey of classical and modern 3D reconstruction techniques, including Structure from Motion (SfM), Multi-View Stereo (MVS), Photometric Stereo, and recent neural rendering approaches such as Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting (3DGS), while critically evaluating their performance under varying illumination conditions. We describe how lighting-induced artifacts such as shadows, reflections, and exposure imbalances compromise the reconstruction quality and how different approaches attempt to mitigate these effects. Furthermore, we uncover fundamental gaps in current research, including the lack of standardized lighting-aware benchmarks and the limited robustness of state-of-the-art algorithms in uncontrolled environments. By synthesizing knowledge across fields, this review aims to gain a deeper understanding of the interplay between lighting and reconstruction and provides research directions for the future that emphasize the need for adaptive, lighting-robust solutions in 3D vision systems. Full article

Grounded in information processing theory, this study explores how ecotourism decisions were formed within the rural district of Akdağmadeni (Türkiye), integrating both heuristic and systematic decision-making processes. The research adopts a two-phase mixed-methods design: First, it employs a survey-based factorial analysis involving 383 participants to examine preferences for nature-based activities such as trekking, cycling, and cultural tourism. Second, it uses in-depth interviews to investigate participants’ strategic evaluations of local landscape and heritage assets. The results reveal that individuals flexibly switch between intuitive and analytical judgments based on contextual factors. Key decision drivers identified include alignment with local development, ecological integrity, and socioeconomic contribution. This dual-process insight is operationalized through a novel “feature-based evaluation model” that synthesizes landscape identity values with cognitive-perceptual cues, providing a new lens for assessing geoheritage-based tourism behavior. It was determined that participants used both intuitive and systematic information processing strategies in their decision-making processes, and factors such as harmony with nature, economic contribution, and local identity were found to affect preferences. The study draws attention to the need to develop sustainable tourism policies, raise public awareness, and support infrastructure investments, and provides a road map for the effective use of the region’s ecotourism potential. Full article

The awareness of global warming has boosted research on methods to reduce energy consumption and greenhouse gas (GHG) emissions. Livestock buildings, although essential for food production, represent a sustainability challenge due to their high maintenance energy costs, GHG emissions, and impact on the environment and rural landscapes. Since the environment, cultural heritage, and community identity deserve protection, research trends and current knowledge on livestock buildings, building sustainability, energy efficiency strategies, and landscape management were investigated using the Web of Science and Scopus search tools (2005–2025). Research on these topics was found to be uneven, with limited focus on livestock buildings compared to food production and animal welfare, and significant interest in eco-sustainable building materials. A total of 96 articles were selected after evaluating over 5400 records. The analysis revealed a lack of universally accepted definitions for building design strategies and their rare application to livestock facilities, where passive solutions and insulation prevailed. The application of renewable energy was rare and limited to rural buildings, as was the application of sustainable building materials to livestock, agriculture, and vernacular buildings. Conversely, increased attention was paid to the definition and classification of vernacular architecture features aimed at enhancing existing buildings and mitigating or facilitating the landscape integration of those that diverge most from them. Although not exhaustive, this review identified some knowledge gaps. More efforts are needed to reduce environmental impacts and meet the milestones set by international agreements. Research on building materials could benefit from collaboration with experts in cultural heritage conservation because of their command of traditional materials, durability-enhancing methods, and biodeterioration. Full article

The Netherlands has established climate-adaptive strategies shaped by its long history of water-related climate events, such as the floods in 1421 and 1953. UNESCO World Heritage (WH) properties in The Netherlands reflect centuries of human intervention and natural processes to adapt and mitigate climate challenges, including spatial design and hydraulic engineering. The Dutch Climate Research Initiative also highlights cultural heritage as an integral component in preparing for the 2026 National Climate Adaptation Strategy. This article aims to unveil climate-adaptive World Heritage management strategies (CAWHMSs), using WH properties in The Netherlands as a case study. It collects textual data from Statements of Outstanding Universal Value, State of Conservation Reports by the State Parties and management plans. Through qualitative coding and keywords aggregation of the documents, the visualised results of a Sankey diagram and two semantic networks confirmed two CAWHMSs: conservation and developing WH properties as collaborative knowledge hubs. Conservation supports regulating urban climate and sustainable water management. As collaborative knowledge hubs, multidisciplinary sectors explore opportunities to align WH properties with broader sustainable development initiatives. They also deepen younger generations’ awareness of cultural and natural significance relevant to mitigating climate threats. The results emphasise WH as a contributor to climate adaptation. Cross-sectoral stakeholders can advance holistic climate adaptation efforts using CAWHMSs. Full article

Role-playing games (RPGs) set in ancient architecture have emerged as a digital tool for enhancing engagement with ancient architectural cultural heritage. This study examines how RPG elements (immersion, narrative, cognitive engagement) influence sustainable tourism outcomes at ancient architectural heritage sites and develops a stimulus–organism–response (SOR)-based framework model to explore their affective and behavioral effects. The results demonstrate that immersion, narrative, and cognitive engagement in RPGs significantly enhance tourists’ affective engagement. Affective engagement, in turn, enhances tourists’ willingness to travel to and support for heritage conservation sites. Mediation analyses indicated that affective engagement partially mediated the effects of immersion and narrative on the willingness to travel and fully mediated the effects of cognitive engagement. Affective engagement positively predicted support for heritage preservation, whereas willingness to travel alone did not exhibit this relationship. Emotional engagement is therefore a critical mechanism by which digital role-playing game experiences drive sustainable tourism behaviors, resulting in outcomes that go beyond individual behaviors to include broader sustainability impacts. By fostering immersive, narrative-rich, and engaging cognitive experiences, RPGs set in ancient architecture can stimulate willingness to visit heritage sites and encourage conservation awareness, providing valuable insights into sustainable tourism and the management of ancient architectural heritage. Full article

As a national intangible cultural heritage in China, traditional Miao batik has encountered obstacles in contemporary dissemination and design due to its reliance on manual craftsmanship and other reasons. Existing generative models are difficult to fully capture the complex semantic and stylistic attributes in Miao batik patterns, which limits their application in digital creativity. To address this issue, we construct the structured CMBP-9 dataset to facilitate semantic-aware image generation. Based on stable diffusion v1.5, Low-Rank Adaptation (LoRA) is used to effectively transfer the structure, sign, and texture features that are unique to the Miao people, and the Latent Consistency model (LCM) is integrated to improve the inference efficiency. In addition, a Style-Conditioned Linear Fusion (SCLF) strategy is proposed to dynamically adjust the fusion of LoRA and LCM outputs according to the semantic complexity of input prompts, thereby overcoming the limitation of static weighting in existing frameworks. Extensive quantitative evaluations using LPIPS, SSIM, PSNR, FID metrics, and human evaluations show that the proposed Batik-MPDM framework achieves superior performance in terms of style fidelity and generation efficiency compared to baseline methods. Full article