Skip to main content
Log in

Spatial Optimization of Rural Settlements in a Small Watershed Based on Social Network Analysis

  • Published:
Networks and Spatial Economics Aims and scope Submit manuscript

Abstract

Under the influence of the conversion of farmland to forest and rapid urbanization, the traditional rural settlements in the hilly and gully region of the loess plateau are experiencing problems, such as hollowing and decline, due to the difficulty in adapting to changes in social relations. With Angou Watershed as an example, a research framework of “gravity identification-network evaluation-spatial optimization” is constructed, which is used to analyze the characteristics of the network as a whole, regions and nodes. In addition, social network analysis is employed to reveal the spatial pattern of rural settlements in the watershed. According to the findings, the lack of close ties of communities within the watershed makes it difficult to achieve close social interactions and services. Divided by region, 8 settlement groups are formed, but there is a lack of cohesion and cooperation among the settlement groups. The proportion of marginal settlement nodes is as high as 39.13%, resulting in the serious shortage of motivation for village development. Finally, a three-level rural settlement system is proposed, and 8 hub villages are added, which play a connecting role of tableland-type villages. In order to form a complete industrial chain, the central settlement processing industry is intensively cultivated. Through the reconstruction of the four cluster development groups, the north-south connection of the watershed is strengthened. By defining the number of villages of three types of leader, key position and explorer, the development direction is clarified. This study not only has a significant guiding role in the coordinated development of rural settlements in small watersheds in the hilly and gully areas of the loess plateau, but also provides an important basis for regional urban and rural overall planning, village layout, as well as resource allocation and construction.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Data Availability

The data that support the findings of this study are available from the corresponding author upon request.

References

Download references

Funding

This work was supported by the Chunhui Program of Ministry of Education under Grant HZKY20220521, National Key Research and Development Program under Grant 2022YFC3802803, National Natural Science Foundation of China under Grant 52178030, Philosophy and Social Science Research Project in Shaanxi under Grant 2022HZ1860, Key Research Projects of Shaanxi Province Science and Technology Department under Grant 2022SF-419, Construction Science and Technology Funding of Gansu under Grant JK2023-19.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lan Li.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhou, J., Jiang, Y., Niu, S. et al. Spatial Optimization of Rural Settlements in a Small Watershed Based on Social Network Analysis. Netw Spat Econ 23, 799–823 (2023). https://doi.org/10.1007/s11067-023-09596-x

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11067-023-09596-x

Keywords

Navigation