The continuous change process in the impact of differences in public transport accessibility has not been explained specifically in previous studies. This study reveals that the interaction between two continuous explanatory variables has a significant impact on the explained variable in the hedonic model. The study takes the accessibility variable in the house price model as an instance, dividing the accessibility variable of the residential community into two parts. The first part is the rail accessibility defined by the Euclidean distance from the residential community to the nearest rail transportation station. The second part is the road accessibility defined by two Space Syntax indicators, connectivity and carrying capacity, according to the spatial pattern of the road network. As demonstrated by the spatial interactive regression model, this research finds that road connectivity has a significant regulating effect on the impact of the distance to the closest rail station on house prices based on the empirical evidence from Fuzhou, China.

Urban densification intensifies the heat island effect, threatening ecological security. Green spaces, as crucial spatial elements in regulating the urban thermal environment, remain poorly understood in terms of their morphological characteristics and regulatory mechanisms, with a lack of systematic quantification and recognition of diurnal variations. This study, focusing on Shanghai’s main urban area, constructs physiological, physical, and morphological variables of green spaces based on high-resolution remote sensing data and the MSPA landscape morphology analysis framework. By integrating machine learning models with the SHAP interpretation algorithm, it analyses the influence mechanism of green spaces on Land Surface Temperature (LST) and its non-linear characteristics from the perspective of diurnal variation. The results indicate the following: (1) Green spaces exhibit pronounced diurnal variation in LST influence. Daytime cooling is primarily driven by vegetation cover, vegetation activity, and surface albedo through evapotranspiration and shading; night-time cooling depends on soil moisture and green space spatial structure and is achieved via thermal storage-radiative heat dissipation and cold air transport. (2) Green space indicators exhibit pronounced nonlinearity and threshold effects on LST. Optimal cooling efficiency occurs under moderate vegetation activity and moderate humidity conditions, whereas extreme high humidity or high vegetation activity may induce heat retention effects. (3) Day–night thermal regulation mechanisms differ markedly. Daytime cooling primarily depends on vegetation transpiration and shading to suppress surface warming; night-time cooling is dominated by soil thermal storage release, longwave radiation dissipation, and ventilation transport, enabling cold air to diffuse across the city and establishing a stable, three-dimensional nocturnal cooling effect. This study systematically reveals the distinct diurnal cooling mechanisms of high-density urban green spaces, providing theoretical support for refined urban thermal environment management.

Within UNESCO’s framework for sustainable heritage, this study examines how community engagement shapes the conservation of religious architectural heritage and the continuity of cultural landscapes. Using Sanliqiao Catholic Church in Wuxi, China, as a case study, it explores how heritage value is produced through the interaction of everyday practices, place identity, and participation in governance. Drawing on 19 interviews, field observations, archival materials, historical images, and 216 online comments, the findings reveal how everyday spatial practices sustain the cultural landscape. These practices generate differentiated place identities among believers, residents, and commercial stakeholders. Such identity differences, in turn, influence uneven participation in heritage governance and shape how cultural value is experienced and distributed. Cultural landscape reproduction thus emerges as a dynamic process linking everyday practice, identity formation, and participatory governance structures. The study underscores the critical role of inclusive participation in heritage governance and contributes to broader international debates on socially sustainable heritage management, with implications for similar religious and urban heritage sites beyond the Chinese context.

Taking Renhezhuang in Yongtai, Fujian, as a case study, this paper explores a research framework that integrates historical records with architectural remains under technological support. Renhezhuang not only preserves relatively complete partition documents but also retains a clear spatial configuration, providing ideal conditions for comparative analysis between textual records and physical structures. By employing space syntax, daylighting simulation, and ventilation modeling, this study links the logic of property allocation recorded in documents with the spatial organization of the building. The results reveal that the distribution of living units in Renhezhuang did not pursue strict equality; rather, it achieved balance through differentiated allocation, reflecting the coordination mechanisms of a traditional lineage society under limited resources. This study not only proposes a methodological framework that integrates textual evidence, spatial remains, and technical tools, but also underscores the sociological significance of built heritage as an entry point for understanding social order. The findings offer valuable insights for both heritage conservation and the study of socio-spatial dynamics.

In this study, a Three-dimensional synergistic framework is proposed to address persistent material–cultural disconnection in architectural heritage research. The framework systematically integrates material remains, historical records, and technological intervention as interconnected analytical dimensions, establishing a scalable and transferable methodology for holistic heritage interpretation. Through rigorous theoretical construction, we develop an operational model that enables the systematic extraction of spatial–material indicators, contextual reconstruction from textual sources, and technological cross-analysis of physical and cultural structures. The applicability of the framework is empirically validated through an in-depth case study of traditional residential architecture in Fujian, with a particular focus on its property division practices. Our findings demonstrate how this integrated approach not only bridges the methodological fragmentation in conventional studies but also provides an effective tool for decoding institutional mechanisms in complex heritage contexts. This research contributes both a refined methodological paradigm for architectural heritage studies and a practical template for interdisciplinary cultural analysis.

Cultural heritage is widely recognized as a critical resource for urban regeneration and sustainable regional development, yet its value realization depends on adequate supporting conditions. While existing studies have examined the spatial distribution of heritage resources, frameworks that jointly address resource endowments and regional support capacities remain scarce. This study constructs a two-dimensional evaluation system comprising Cultural Heritage Value (CHV) and Heritage Regeneration Support Capacity (HRSC), and proposes a two-stage CRITIC method. An empirical analysis is conducted across 84 county-level units in Fujian Province, integrating five categories of cultural heritage data and POI-based urban functional data. The CRITIC method is applied separately within CHV and HRSC, followed by a second-stage weighting to calculate the Cultural Heritage-led Urban Regeneration Potential Index (CHURPI). Spatial patterns are examined through kernel density estimation, typology classification, and spatial autocorrelation analysis. Four key findings emerge. First, the five heritage categories exhibited differentiated spatial clustering, supporting the need for multi-type integrated assessment. Second, high-CHV counties were widely distributed across coastal and mountainous areas, whereas high-HRSC counties were concentrated in core metropolitan areas such as Fuzhou and Xiamen, indicating a notable spatial mismatch between heritage endowment and support capacity. Third, only 8.3% of counties were classified as high-potential, mainly clustered in the northeast, with a global Moran’s I of 0.161 (p < 0.001) indicating a weak-to-moderate but statistically significant positive spatial autocorrelation. Fourth, traditional village density (0.386) and functional diversity (0.509) received the highest weights within CHV and HRSC, respectively. These weights indicate that the two indicators are the most information-rich and least redundant within the selected indicator system, rather than universally the most important drivers of heritage-led regeneration. With this caveat, the results are consistent with the interpretation that traditional settlements serve as primary heritage carriers in Fujian and that diversified functional environments may be more conducive to heritage value translation than single-type facility provision. The framework offers an operational pathway for identifying heritage-led regeneration potential and supporting differentiated cultural resource allocation.