Table 9 The core concept and methodology of “ecologicality-architecture-resilience” in kiln architecture.

From: Analyzing the ecologicality and functionality of kiln architecture in China through KH coder data mining algorithm and hierarchical event coding

Concept

Methodology

Ecological coupling: The structural stability and functional adaptability of kiln architecture in response to environmental changes, disaster impacts, and socio-economic transitions

Field investigation: Collecting multidimensional data on cave dwelling environments through on-site surveys and interviews to analyze local ecological and cultural characteristics comprehensively

Architectural resilience: The capacity of kiln architecture to maintain structural stability and functional adaptability amidst environmental shifts, disaster impacts, and socio-economic transformations

Value assessment: Constructing evaluation scales to quantify the ecological, cultural, and social value of kiln architecture, providing a scientific basis for prioritization in heritage conservation decision-making

Cultural resilience: The continuity and dynamic adaptability of cave dwelling environments in cultural heritage preservation, social cohesion, and local identity

Participatory decision-making: Engaging multiple stakeholders, including government, community, and expert teams, to enhance the scientific validity and social acceptance of collaborative planning and decision-making processes

Heritage economy: The potential of kiln architecture as a cultural heritage resource for transformation into tourism, cultural innovation, and green economic development

Event encoding: Applying event analysis methods to code significant historical milestones, uncovering the driving forces and architectural impacts of varying historical contexts on cave dwelling environments

Cultural empowerment: Promoting the modernization and sustainable dissemination of cave dwelling culture through technological innovation, educational outreach, and policy support

Multi-source data integration: Combining GIS, remote sensing data, and archival records to conduct longitudinal and cross-comparative analyses of case studies, validating the universality and practical feasibility of theoretical models