Chang Sun

The core objective of the concentrated and contiguous protection of traditional villages is to achieve the large-scale preservation and sustainable development of cultural heritage. Elucidating their spatial distribution characteristics and the underlying driving mechanisms serves as a fundamental prerequisite for the effective implementation of conservation practices. Using Geographic Information Systems (GIS) and the optimal parameter-based geographical detector (OPGD) model, this study quantitatively analyzes the spatial distribution and formation mechanisms of traditional villages in southern Shanxi. The results indicate that traditional villages in southern Shanxi exhibit a “one belt, three cores” spatial agglomeration pattern. This pattern emerges from the nonlinear coupling of multiple factors, including natural environment, socio-economic conditions, and historical and cultural elements, among which historical and cultural factors serve as the most prominent driver. The factor detection q-value for cultural heritage density (X18) reached 0.45, and it exhibited a significant synergistic enhancement effect with natural environmental and socio-economic factors. Interaction detection reveals that the explanatory powers of bivariate interactions are generally stronger than that of individual factors, with the synergistic effect between slope (X4) and annual mean temperature (X9) being the most pronounced (q = 0.56). Based on these findings and emphasizing the pivotal role of historical and cultural factors, this study proposes a four-dimensional collaborative governance framework—“cultural leadership, spatial support, institutional safeguards, and social synergy”. This framework aims to provide theoretical foundations and practical pathways for the concentrated and contiguous protection of traditional villages in intra-provincial cultural regions.

Aiming at the weakness of “two kinds of thinking; lack of integration” between Chinese culture and green technology in the field of urban and rural construction, as well as the high-quality construction needs of China’s new urbanization, using system thinking, genetic factors, and iteration theory, the components of genetic and variation factors and the integrative and iterative mechanisms of Chinese culture and green technology were studied. Chinese culture is rich in humanistic and green science and technology feelings of “reciprocity between heaven and mankind” and “matching nature”, believing that the ways of science and technology is inherently consistent with the ways of nature and man. Chinese culture endorses green science and technology with humanity and soul, and green science and technology promote the evolution and rebirth of Chinese culture. The genetic factors of Chinese culture and the variation factors of green science and technology constitute the inheritance and renewal system of integration, the unity of opposites, and the coordination of conflicts between them, deducing the integrated architectural design mechanism in which science and technology are “culturized” and culture is “technologized”. The iterative mechanism of mathematical operation is the logical thinking of architectural design in the repeated feedback process of cultural and scientific spatial graphics. It approximates the design thinking law of design conditions and requirements through a cyclic iterative scaling operation and can use computer-aided iterative design. According to the function, level, and structural relationship between Chinese culture space graphics and green science and technology space graphics, the iterative mechanism of collocation accumulation is the iterative design law of level accumulation and optimized collocation. There are two kinds of deduction paths, forward and reverse fusion, in the iteration–fusion design mechanism, which form the integration and iteration logic of mutual carrier and object.

Traditional villages contain rich natural and humanistic information, and exploring the spatial distribution characteristics and cultural landscape zoning of traditional villages can provide scientific support for their centralized and continuous protection and renewal and sustainable development. In this study, 326 traditional villages in the northern Henan region were taken as the research object, followed by analyzing their spatial distribution characteristics by using geostatistical methods, such as nearest-neighbor index, imbalance index, geographic concentration index, etc., combining the theory of cultural landscape to construct the traditional villages’ cultural factor index system, extracting the cultural factors of the traditional villages to form a database, and adopting the K-means clustering method to divide the region. The results show that the spatial distribution of traditional villages in northern Henan tends to be concentrated overall, with an uneven distribution throughout the region. The density is highest in the northwestern part of Hebi City and lower in the central and southern parts of Xinxiang City, Neihuang County, and Puyang City. Based on the cultural factor index system, the K-means algorithm divides the traditional villages in northern Henan into six clusters. Among them, the five cultural factors of topography and geomorphology, building materials, courtyard form, structural system, and altitude and elevation are the most significant, and they are the cultural factors that dominate the landscape of the villages. There is a significant correlation between topography, altitude, and other cultural factors, while the correlation between the street layout and other factors is the lowest. Based on the similarity between the clustering results and the landscape characteristics, the traditional villages in northern Henan can be divided into the stone masonry building culture area along the Taihang Mountains, the brick and stone mixed building culture area in the low hills of the Taihang Mountains, the brick and wood building culture area in the North China Plain, and the raw soil building culture area in the transition zone of the Loess Plateau.