Search Results (773)

As global urban development shifts towards stock upgrading and cultural tourism consumption, historic and cultural districts have become crucial spatial carriers for reshaping local identity and driving urban regeneration. Although the literature explores cultural value, current research remains limited to macro-scale assessments, leaving a gap in micro-scale, quantitative identification of spatial narrative capacity. To address this, the concept of ontological narrative is introduced, and a three-dimensional framework integrating physical space, functional formats, and historical events is constructed. Using event space as the unit of measurement, a mixed-methods approach combining spatial syntax, kernel density estimation, and the Analytic Hierarchy Process is applied to Chaozong Street in Changsha. The findings indicate that narrative intensity exhibits a spatial pattern of main-axis agglomeration and deep-alley attenuation. High-value nodes concentrate along primary streets with high accessibility. Conversely, narrative efficacy declines in branch alleys and functionally deficient zones. Furthermore, a four-quadrant diagnosis reveals widespread structural decoupling, such as high historical value paired with low vitality. This shows that historical assets require functional activation to become effective narratives. This research provides a precise analytical tool, grounded in node diagnosis, to counter homogenized urban renewal by fostering differentiated cultural expression. Full article

Traditional “hórreos”, vernacular granaries widely distributed across northern Spain, constitute a highly valuable form of cultural heritage due to their historical, architectural, and ethnographic significance. However, their progressive deterioration, dispersion in rural contexts, and limited maintenance resources pose significant challenges for their long-term conservation. This research article explores the potential of the Historic/Heritage Building Information Modelling (HBIM) methodology as an innovative and effective tool for the documentation, analysis, conservation, and management of “hórreos” as cultural heritage assets. The study proposes an HBIM-based workflow adapted to the specific characteristics of “hórreos”, integrating data acquisition techniques such as laser scanning, photogrammetry, and historical archival research with parametric modelling of traditional construction elements. The resulting HBIM models are conceived not only as geometric representations, but as comprehensive digital repositories that store historical data, construction techniques, materials, conservation states, and recorded pathologies. The research analyses how HBIM supports decision-making in restoration planning and enables preventive maintenance strategies over time. Furthermore, the article discusses the role of HBIM in improving heritage management at a territorial scale, enabling standardised inventories and supporting institutional protection policies. The potential of HBIM for heritage dissemination, education, and digital preservation is also examined. The results highlight HBIM as a powerful and adaptable methodology that contributes to a more sustainable, informed, and holistic approach to the conservation of “hórreos”, enhancing both their physical preservation and their transmission as living cultural heritage. Full article

The rapid development of Heritage Building Information Modelling (HBIM) has transformed digital models of historic buildings from design-support tools into long-term information assets used for documentation, conservation, and heritage management. Despite their growing importance, issues related to copyright protection, intellectual property rights, and data exchange remain insufficiently addressed in both research and professional practice. This study examines the legal status of HBIM models under European Union, especially Polish, copyright law and identifies challenges associated with licensing and interoperability in BIM environments. The research combines a doctrinal analysis of copyright legislation, a review of BIM and HBIM literature, an examination of information management standards, and a case study of an HBIM project developed for a listed historic property of the University of Wrocław. The findings indicate that HBIM models may qualify as copyright-protected works, most often of a joint authorship nature, requiring clear regulation of economic rights, derivative works, and model updates throughout the lifecycle of a heritage asset. The study also reveals a gap between technical and legal interoperability, as the IFC format does not consistently preserve information concerning authorship, licensing conditions, and revision history during data exchange. The results highlight the need to integrate copyright considerations into contractual arrangements, Common Data Environment (CDE) management, and metadata structures to support the lawful and sustainable long-term use of HBIM models in cultural heritage conservation. Full article

Sicily is a Mediterranean island region whose economy is based especially on tourism, with tourists being attracted to its beaches. The whole coastline of the island, including its minor islands, is 1745 km. At the moment, considering the whole period analyzed by the Coastal Plan of Sicilian Region (2008–2024), about 115 km of the 683 km of the main island’s sandy coastline present erosion problems that affect 23% of its unprotected coastline (506 km). Some of these problems are threatening Sicily’s economic and important historical assets as well as its cultural heritage; 177 km of protected beaches, using hard structure, have lost their original beauty. In the last fifty years, about 2.5 km² of beaches were lost due to erosion, causing damages worth approximately 5 billion Euros. Current coastal management guidelines identify artificial beach nourishment as the most sustainable strategy for protecting the insular economy against the accelerating impacts of climate change. Successful nourishment, however, hinges on the availability of vast quantities of borrow material that must be granulometrically, compositionally, and chromatically compatible with native beach sediments. While subaerial quarries are being phased out due to their irreversible environmental degradation and logistical inefficiency, as well as local “ephemeral” sources (such as harbor dredging or over-alluvial deposits) providing insufficient volumes, the research has shifted toward Remote/Relict Marine Sediment Deposits (RMSDs). This study evaluates the strategic potential of RMSDs as a high-volume, low-impact resource for coastal defense. By integrating the geological, morphological, and sedimentological characteristics of the Sicilian continental shelf within a GIS framework, we have delineated potential dredging sectors. These areas are bounded by the −30 m isobath (the lower limit of Posidonia oceanica meadows) and the −200 m isobath, which represents the current operational limit of Jumbo Trailer Suction Hopper Dredgers (TSHDs). A multi-criteria constraint analysis was performed, categorizing environmental and infrastructural overlaps into fatal flaws (prohibitive) and non-prohibitive constraints. This subtractive spatial analysis reveals that approximately 6500 km² of the Sicilian shelf may be eligible for resource exploitation concessions, pending site-specific, high-resolution surveys. Full article

The increasing availability of digital documentation in cultural heritage has amplified the need for interoperable systems capable of integrating heterogeneous data and supporting risk-informed conservation strategies. In the field of Disaster Risk Management (DRM), the application of structured methodologies—such as the ICCROM-CCI ABC Method—is often hindered by fragmented data sources, inconsistent terminology, and limited interoperability across institutions. This study presents a semantic workflow for the harmonization, enrichment, and integration of cultural heritage risk assessment data within a CIDOC Conceptual Reference Model (CIDOC-CRM)-compliant environment. The proposed system is structured as an Extract–Transform–Load (ETL) pipeline that converts heterogeneous assessment records into interoperable semantic knowledge graphs. The workflow combines controlled vocabularies, project-specific thesauri for risk agents and heritage typologies, and formal ontology mapping implemented through the Mapping Memory Manager (3M) and executed with the X3ML engine. The resulting data are deployed within a ResearchSpace environment, enabling semantic querying, cross-dataset exploration, and integration with external knowledge infrastructures. The workflow was applied to a dataset comprising 295 cultural heritage sites in the municipality of Ravenna (Italy). The transformation process generated a CIDOC-CRM-compliant knowledge graph containing 134,611 RDF triples and 18,954 entities, integrating information on cultural assets, risk scenarios, actors, documentary resources, and quantitative risk assessments. Through the adoption of persistent identifiers and semantic mappings, the workflow also supports interoperability with external cultural heritage resources, including ArCo and GeoNames, facilitating the contextualization and enrichment of local risk assessment data. By transforming fragmented assessment records into structured and interoperable knowledge, the proposed workflow contributes to bridging semantic and information gaps in cultural heritage risk management. The study demonstrates the feasibility of integrating risk assessment data within an ontology-based semantic infrastructure and highlights its potential to support data integration, semantic interoperability, knowledge reuse, and future decision-support applications for preventive conservation and territorial risk management. Full article

Historical buildings are important cultural assets that reflect the identity of cities and preserve the collective memory of societies. However, these structures are increasingly exposed to environmental degradation and human-induced impacts, making their systematic documentation and condition assessment essential for effective conservation strategies. Recent advances in artificial intelligence have provided powerful tools for image-based analysis in the field of heritage preservation. In particular, transfer learning enables the adaptation of pre-trained deep learning models to domain-specific tasks with limited labeled data. In this study, a deep transfer learning-based framework is proposed for automatic damage detection and classification in historical buildings. A new near-balanced dataset of 20,000 images spanning six deterioration categories was developed and made publicly available. Ten convolutional neural network and transformer architectures pre-trained on ImageNet were systematically compared under a unified Bayesian optimization protocol. Experimental results on a held-out test set show that EfficientNetB3 achieves the highest classification accuracy (97.65%), while AlexNet obtains the lowest performance (83.89%); the validation set was used exclusively for hyperparameter tuning. The results demonstrate that transfer learning-based models can effectively identify visually observable deterioration patterns and provide reliable support for automated documentation processes. The proposed framework contributes to the development of data-driven decision-support tools for digital documentation and condition assessment in heritage conservation. Full article

Urban branding has become an influential mechanism through which cities construct identity, shape public perception, communicate cultural distinctiveness, and guide urban transformation and place-based development. In heritage contexts, its significance extends beyond promotion by supporting the continuity, recognition, and positioning of historic places. Yet existing research has focused on formal heritage districts and visual representation, offering limited explanation of how lived historic environments sustain identity and develop a foundation for heritage-based urban branding through locally embedded socio-spatial practices. This study examines how the historic area surrounding the Mosque of Sultan al-Ashraf Qaytbay within Cairo’s City of the Dead maintains a coherent heritage identity through the interaction of architectural assets, craft production, market exchange, adaptive reuse, cultural activities, place perception, and everyday community practices. It develops a domain-based analytical framework comprising five interrelated domains: heritage asset readiness, cultural activation, place perception, emergent branding outputs, and governance and institutional mediation. The framework is applied through an interpretive spatial-observational case study based on repeated site visits, structured observation, spatial mapping, and photographic documentation. Findings show that craft production, everyday exchange, adaptive reuse, and community-based activities sustain heritage identity, collective memory, and experiential continuity. Workshops and bazaars form an interconnected production–exchange system, while galleries and cultural spaces strengthen interpretation and public engagement. However, fragmented digital visibility, weak narrative coordination, and limited institutional mediation constrain the translation of these assets into coherent branding outcomes. The study therefore distinguishes heritage identity from branding formation and offers a qualitative diagnostic framework for identifying domain alignment and misalignment, supporting context-sensitive approaches to urban transformation, heritage management, and place-based development. Full article

Sustainable rural tourism governance in the Global South faces a persistent challenge: enabling genuine community participation in destination management while protecting environmental assets and cultural heritage. This study examines participatory governance practices at Kampung Senyum Homestay, Cibeusi Village, West Java, Indonesia, a community-based tourism (CBT) initiative that has sustained operations for over eight years, despite a 60% failure rate among comparable initiatives. A qualitative case study design was employed, with data collected over six months (November 2022–May 2023) through participant observation (12 days), in-depth interviews with 14 stakeholders, and document analysis. Data were analyzed using Miles et al.’s interactive model and critical discourse analysis. Findings reveal three interrelated participation layers shaping tourism governance outcomes: interpersonal engagement fostering horizontal host–guest relationships (89% of tourists report kinship-based experiences); deliberative governance through musyawarah desa enabling community-led environmental stewardship, including the collective rejection of a proposal to bring 100 tourists monthly to protect waterfall ecosystems; and digital storytelling by youth extending local heritage narratives globally (150 posts, 7.2% engagement rate). The study proposes a ‘layered participation’ model demonstrating that tourism sustainability depends on participatory governance mechanisms that build social trust, integrate traditional ecological knowledge, and balance economic development with environmental conservation and cultural heritage management. The study also critically examines structural inequalities, including gender asymmetries, unequal benefit distribution, and linguistic barriers, that persist within participatory governance structures, offering a contextually grounded governance framework for rural tourism destinations in the Global South. Full article

Heritage Building Information Modelling (H-BIM) is increasingly used for the documentation, conservation and management of historical assets. However, the integration of geometric singularities, degradation phenomena and vulnerability-related information within H-BIM environments remains only partially addressed, as current workflows are often manual, fragmented and poorly connected to structured conservation assessment procedures. This paper introduces V-HBIM, a vulnerability-oriented Heritage BIM approach aimed at integrating geometric data, defect mapping and conservation parameters into a single digital model. A semi-automated scan-to-model workflow is proposed, combining point cloud processing, geometric modelling, mesh-based defect representation, BIM conversion, structural vulnerability calculations and automated information enrichment. The workflow uses CloudCompare, Rhinoceros 3D, Rhino.Inside.Revit, Autodesk Revit and Dynamo scripts to connect digital survey outputs with a structured database derived from the Italian Ministry of Culture Risk Map. The method is validated on the Roman Arch of San Damiano, in the Archeological Park of Carsulae, Italy. Results show that defects can be represented as queryable BIM entities and associated with severity, extent and urgency parameters. The proposed approach supports conservation planning, inspection updating and vulnerability-oriented management of cultural heritage assets. Full article

In the context of urban regeneration and the redevelopment of existing urban land and built assets, industrial heritage has become a cross-sectoral policy issue involving heritage conservation, spatial reuse, land governance and public cultural uses. Existing studies have primarily examined individual adaptive reuse projects and spatial strategies, whereas the long-term evolution of policy texts has received less systematic attention. Taking Shanghai as a case study, this paper constructs a clause-level corpus of industrial heritage-related policies issued between 2006 and 2025. The corpus comprises 524 clauses extracted from 86 policy documents covering heritage conservation, historic building conservation, cultural and creative industries, land use, planning, urban renewal and industrial tourism. Overall and stage-based Latent Dirichlet Allocation (LDA) models are combined with cross-period topic alignment to identify the structure and evolution of policy themes. The results show that Shanghai’s industrial heritage policies have been shaped not only by heritage conservation concerns, but also by industrial land governance, the transformation of underused industrial land, the regeneration of existing industrial spaces (EIS), industrial culture, tourism and public service provision. Four stages are identified: initial exploration, regulatory consolidation, revitalisation and renewal, and integrated consolidation. Across these stages, four major evolutionary pathways can be observed: industrial land supply and governance, renewal of EIS and old industrial areas (OIA), industrial heritage conservation and value recognition and the expansion of industrial culture, tourism and public services. The paper provides clause-level evidence for understanding industrial heritage governance in China’s urban regeneration context and highlights the need for stronger coordination between heritage, land, planning, industry, culture and tourism policies. Full article

Cultural heritage assets in seismic metropolitan regions are increasingly exposed to interacting natural hazards, yet disaster risk assessments for historic buildings often remain limited to single-hazard interpretations. This study addresses this gap by developing a Geographic Information Systems (GIS)-based multi-hazard risk assessment for Ferhatpaşa Mosque, a sixteenth-century Ottoman heritage asset located in Çatalca, Istanbul. Eight spatial parameters were evaluated at the neighborhood scale: slope, elevation, aspect, precipitation, distance to fault lines, distance to hydrological features, land use, and soil capability. The model was developed through Weighted Overlay analysis and interdisciplinary expert-based weighting. Distance to fault lines and precipitation received the highest weights, each accounting for 17.22% of the model, followed by distance to hydrological features and soil capability, each weighted at 13.89%. The final risk map classified 71.99% of the study area as medium risk, 28% as low risk, and 0.02% as high risk. Ferhatpaşa Mosque was located within the medium-risk zone, approximately 29,600 m from active fault lines, 250 m from the nearest dry streambed, 800 m from the nearest stream, and 320 m from the nearest high-risk zone. These findings demonstrate that the mosque’s risk profile is shaped not by seismic proximity alone, but by the cumulative interaction of topography, precipitation, hydrology, soil conditions, and land-use characteristics. The proposed model provides a spatial decision-support framework for integrating cultural heritage conservation into sustainable disaster risk reduction and local risk mitigation planning. Full article

Cape Coast is a prominent tourism destination in Ghana, distinguished by its historical landmarks, coastal ecosystems, and cultural heritage. Yet the city faces mounting threats from environmental hazards such as coastal erosion, flooding, extreme heat, and lagoon degradation, which directly compromise the sustainability of its tourism sector. Guided by the Sustainable Tourism Development Theory (STDT) and the Tourism Resilience and Adaptation Theory (TRAT), this study investigates the impacts of these hazards on tourism development, the effectiveness of current disaster risk reduction (DRR) strategies, and the roles of key stakeholders in building sectoral resilience. Using a qualitative research design, data were collected through in-depth interviews with eighteen stakeholders comprising four policymakers, six community leaders, five tourism business operators, and three representatives from non-governmental organisations, alongside documentary analysis of four institutional reports. The study contributes to the literature by demonstrating that fragmented, reactive DRR strategies and weak stakeholder coordination undermine Cape Coast’s tourism resilience, and by showing how urban natural assets, a dimension largely neglected in existing tourism–DRR scholarship, are central to both hazard exposure and adaptive capacity. The findings call for integrated, ecosystem-based DRR frameworks that align governance mechanisms with sustainable tourism imperatives. Full article

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

Against the backdrop of rapid digital acceleration and a tightening UK labor market, Small and Medium-sized Enterprises (SMEs) are pressured to move beyond manual administrative processes to bridge the national productivity gap. This study investigates how Human Resource Information Systems (HRIS) transform HR functions from administrative burdens into strategic assets within resource-constrained UK SMEs. Adopting an interpretivist, multiple case study qualitative approach, data were collected through semi-structured interviews with 12 HR managers across the hospitality, retail, and recruitment sectors and analyzed using thematic analysis via NVivo 14. The findings reveal a three-stage, non-linear pathway of value creation: administrative liberation through automation, strategic visibility via data-driven insights, and digital friction stemming from cultural and structural barriers. While HRIS enhances operational efficiency and evidence-based decision-making, its strategic value is mediated by organizational readiness, digital literacy, and change management capabilities. This research contributes to strategic human resource management literature by conceptualizing “digital friction” as a key mediating construct between technology implementation and value realization under resource poverty. For practitioners, it provides a deployment roadmap highlighting that managing the socio-technical “human element” is as critical as the core technological infrastructure for long-term competitiveness. 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