Abstract

Rural settlements are spatial carriers of rural social and economic activities. The optimization of rural settlements is of great significance to comprehensively promote rural revitalization. Considering that the optimization of rural settlements is a systematic engineering of the optimal allocation of rural revitalization elements and a social engineering of rural residents’ willingness, this paper explores the optimization of rural settlements based on the elements of rural revitalization and rural residents’ social mobility. After constructing the theoretical framework of the internal relationship among rural revitalization, rural residents’ social mobility and optimization of rural settlements, we evaluate the development vitality of rural settlements from the perspectives of industry, talent, culture, organization and ecology, and measure the network centrality of rural settlements based on rural residents’ social mobility. Moreover, we measure the coordination level of development vitality and network centrality to identify rural settlements’ optimization types. The level of the talent element is the lowest among the five revitalization elements. The rural settlements with high development vitality and network centrality are mainly distributed around the central town and near the traffic trunk lines. The rural settlements within the boundary of the expansion of urban construction land are classified as suburban integration, and the rural settlements with the characteristics of cultural relics or ethnic minorities are determined as characteristic protection. The remaining rural settlements are classified into three types (i.e., agglomeration and upgrading (high coordination), maintaining status quo (basic coordination), relocation and evacuation (endangered coordination)) according to the coordination level. Relocation and evacuation rural settlements are not suitable for villagers’ production and living and we encourage these villagers migrate to rural settlements that are more strongly connected in the residents’ social mobility network. Based on these findings, this paper provides a decision-making basis for rural planning and proposes an analytical framework for the optimization of rural settlements.

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