Suburban villages are strongly influenced by cities. Understanding the relationship between urban and rural as well as the hierarchy of villages contributes to optimizing the structure of village-town, allocating resources effectively as well as coordinating the relationship between urban and rural areas. Taking the rural area of Qin and Han New City as the research object, this paper obtained the number of contact flows between urban and rural areas from cellphone signaling data mining and constructed a network with hierarchical system. The influence scope and hierarchy of city and village nodes in the network could be measured by conducting the primary linkage analysis. The effect intensity and radius of the central villages as well as the relationship between villages could be calculated by the multiple linkage analysis. Furthermore, according to the urbanization potential and the characteristic regions of cites, the regional village-town system could be finally determined. This study has shown that 89.4% of the villages were influenced by the surrounding cities strongly, and the influence range of the cities was 6.2-28.3km. There were 13 “Centrality” villages in this region, which was lean to city, traffic convenience and divisional centralized. Totally, 19 groups of villages should be merged and 3 groups should be developed together. Besides, two kinds of village-town systems were formed in this region, and the villages were classified into five categories for guidance. Moreover, the research results could not only provide a helpful method to determine the village-town system structure under the strong influence of cities but also offer a better way for resources allocation between urban and rural smartly and equally.

There are frequent population flow and complex spatial structures in suburban villages. Understanding the spatial characteristics of population activities in suburban villages helps to coordinate the relationship between urban and rural areas and guide the development of suburban villages and the formulation of sound policies. Taking the rural area of Qin and Han New City as the research object, this paper constructs a population time-space analysis framework of “population attribute-activity characteristics-spatial analysis” based on cellphone signaling data. According to the characteristics of the population activity curve, K-means clustering algorithm was used to classify rural space and analyze their characteristics. This study has shown that migrants, who are showed as young and energetic, account for 49.8% of the local registered population per day. Bidirectional flow of residents and commuters is generally presented in urban and rural areas. The urban-rural relation curve was characterized by “double peaks”. The changes in the population in each village and the intensity of urban-rural relation were affected by location, industry and land use. The village population activity curve was classified into three categories, and nine characteristic villages are formed combined with the activity function. The research results can provide a scientific basis for urban and rural planning, spatial planning, industrial guidance and the facility layout.

In the context of farmland afforestation and urbanization, it is necessary for the small watershed rural settlements in the hilly–gully Loess Plateau to coordinate spatiotemporal changes and take the path of resilience development. In the case of the Sanshui Watershed, this paper investigates the rural settlement systems based on complex networks, and develops a research framework of “spatial simulation–resilience evaluation–spatial planning”. The results include the evolution trends of settlement space from present to future, as well as its spatial resilience in static and dynamic states. In this study, a total of six central villages and six types of rural development are finalized, and the study area possesses a prolonged spatiotemporal resilience when 29 villages remain, thus forming an ideal spatial pattern of “rural corridor zones + characteristic towns”. The findings of this study can represent guidance for resilience development in small watershed villages and provide a basis for guiding the regional urban–rural integration, village layout, as well as resource allocation and construction.