Traditional villages are a valuable cultural asset that occupy an important position in Chinese traditional culture. This study focuses on 206 traditional villages in Hebei Province and aims to explore their spatial distribution characteristics and influencing factors using ArcGIS spatial analysis. The analysis shows that traditional villages in Hebei Province were distributed in clusters during different historical periods, and eventually formed three core clusters in Shijiazhuang, Zhangjiakou and Xingtai-Handan after different historical periods. Moreover, the overall distribution of traditional villages in Hebei Province is very uneven, with clear regional differences, and most of them are concentrated in the eastern foothills of the Taihang Mountains. To identify the factors influencing traditional villages, natural environmental factors, socio-economic factors, and historical and cultural factors are considered. The study finds that socio-economic and natural environmental factors alternate in the spatial distribution of traditional villages in Hebei Province. The influence of the interaction of these factors increases significantly, and socio-economic factors have a stronger influence on the spatial distribution. Specifically, the spatial distribution of traditional villages in Hebei Province is influenced by natural environmental factors, while socio-economic factors act as drivers of spatial distribution. Historical and cultural factors act as catalysts of spatial distribution, and policy directions are external forces of spatial distribution. Overall, this study provides valuable insights into the spatial distribution characteristics and influencing factors of traditional villages in Hebei Province, which can be used to develop effective strategies for rural revitalisation in China.

Traditional villages constitute a significant component of China’s rural heritage. In the context of national efforts to achieve sustainable rural revitalization, there is a lack of comprehensive assessments of rural vitality that can evaluate the balance between the competing demands of heritage conservation and rural development. This study addresses this gap by introducing an innovative evaluation index system, the rural vitality assessment (RVA). The RVA comprehensively evaluates both protective and developmental aspects while integrating natural and cultural ecological factors. This study leverages data from 206 traditional villages in Hebei Province and employs a hybrid model that combines subjective evaluations collected through interviews and questionnaires with spatial data analysis. This study shows that over 90% of traditional villages in Hebei Province exhibit an imbalance between protection and development, which could lead to gradual deactivation. Additionally, the spatial distribution of RVA outcomes shows polarization, with higher levels observed in the north and lower levels in the south. This study concludes that the RVA framework is an effective tool for analyzing the vitality level, spatial distribution, and disadvantage indicators of villages at different zoning levels. The results can provide a reference for the formulation of targeted heritage protection and development planning strategies and further aid in the rational allocation of resources, helping to narrow the development gap between urban and rural areas.

The accelerated development of urban agglomerations in China has resulted in the significant regional expansion of infrastructure and urban spaces, which has led to the fragmentation of habitats and the degradation of ecosystem function. Ecological networks have been shown to reconnect isolated habitat patches within urban agglomerations by identifying ecological sources and constructing corridors, which could enhance regional ecological security. Nature reserves, as critical areas for the protection of key species and ecosystems, play a vital role in this process. Investigating the influence of nature reserves on the ecological networks of urban agglomerations helps to integrate regional ecological resources, optimize ecological network structures, and enhance cross-departmental coordination in nature reserve management and ecological environment protection. Using the urban agglomeration in the middle reaches of the Yangtze River as a case study, this research analyzes the impact of nature reserves on the ecological network of urban agglomerations. Initially, ecological source patches are identified using the “Quality-Morphology-Connectivity” evaluation model. Different types of nature reserves are then superimposed to create four distinct source schemes. Subsequently, a resistance surface is constructed through a comprehensive evaluation method to assess ecological barriers. Then, ecological corridors are generated using circuit theory tools. Finally, a comparison of the effectiveness of the four ecological networks is conducted using 12 landscape pattern metrics. The results indicate several key points. Firstly, the inclusion of nature reserves is shown to supplement ecological sources and increase corridor numbers, thereby enhancing the optimization effect of the urban agglomerations’ ecological network threefold. Secondly, the impact of nature reserves on the ecological network is closely related to the spatial scale of patches, and patch scale consistency should be considered to prevent network functionality loss. Thirdly, establishing a cross-departmental and cross-regional collaborative management mechanism is recommended to organically integrate nature reserves with ecological networks. These results provide a data-driven foundation for the optimization of ecological networks in urban agglomerations and inform effective management strategies for nature reserves, to promote the construction of ecological civilization in urban agglomerations.

Farmers are central local actors in agricultural heritage conservation, and understanding the decision processes underlying their participation is essential for long-term and effective conservation. Using the Shexian Dryland Stone Terraced System, a Globally Important Agricultural Heritage System, as a case study, this study develops an integrated stakeholder-Theory of Planned Behavior (TPB) framework. Economic benefits and government support are modeled as external antecedents, and structural equation modeling is used to test how these antecedents, the core TPB constructs, participation intention, and conservation behavior are related. The results show that subjective norm showed the strongest association with participation intention; economic benefits have significant indirect associations with participation intention and self-reported conservation behavior through the core TPB constructs; and government support has the largest estimated total association with self-reported conservation behavior, exceeding the estimated association between participation intention and self-reported conservation behavior. The study extends the application of TPB to agricultural heritage conservation and identifies key modeled pathways associated with farmers’ participation, providing policy-relevant empirical evidence to inform efforts to strengthen farmer participation in heritage conservation.

Traditional villages are important carriers of rural cultural heritage, yet their spatio-temporal distribution and underlying mechanisms remain insufficiently understood, particularly regarding the interaction between environmental and socio-cultural drivers over long historical periods. Focusing on 131 nationally recognized traditional villages in southern Hebei, China, this study integrates GIS-based spatial analysis with historical interpretation to examine their spatial patterns, temporal evolution, and driving factors from the pre-Sui period to the Qing Dynasty and post-Qing period. The results show that traditional villages exhibit a highly clustered and uneven distribution, primarily concentrated in mountain-front zones in the western and southwestern parts of the region. Spatial analysis reveals a multi-core clustering structure, and spatial autocorrelation confirms that this pattern is statistically significant. Temporally, village formation follows a non-linear process of concentration, expansion, and stabilization, with the Ming Dynasty representing a key peak period. The findings further indicate that dominant driving mechanisms shifted over time: early settlement was mainly constrained by environmental conditions, whereas later development increasingly depended on socio-cultural processes such as migration, defense, clan organization, and regional exchange. In the contemporary context, economic development and accessibility introduce complex and non-linear effects. These results suggest that traditional villages should be understood as dynamic cultural landscapes shaped by long-term human–environment interactions. This study provides an integrated framework for understanding rural settlement dynamics and offers insights relevant to rural heritage conservation and sustainable development in transitional regions.