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Chinese Agricultural Science Bulletin ›› 2023, Vol. 39 ›› Issue (16): 156-164.doi: 10.11924/j.issn.1000-6850.casb2022-0415

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Research on the Optimization of Rural Settlement Layout in Pingyao County

LI Xue1(), JIA Ningfeng1(), QIAO Luyin2, ZHANG Yuhuai3   

  1. 1 Institute of Loess Plateau, Shanxi University, Taiyuan 030006
    2 Research Center for Urban-Rural Development, Shanxi University, Taiyuan 030006
    3 College of Environment & Resource Science, Shanxi University, Taiyuan 030006
  • Received:2022-05-19 Revised:2022-09-30 Online:2023-06-05 Published:2023-05-22

Abstract:

To alleviate the contradiction between supply and demand of urban and rural construction land, and effectively and reasonably promote the comprehensive improvement of rural settlements, we selected Pingyao County of Shanxi Province as the research area to analyze the spatial distribution characteristics of rural settlements in the county and their influencing mechanism. We used the minimal cumulative resistance (MCR) model to construct the suitability evaluation index system of rural residential areas, and established a database of natural and socioeconomic factors taking the administrative village as the unit. The research shows that: (1) the rural settlements in the county are affected by natural location conditions, and the overall distribution pattern of clusters is “dense in the north and middle, and sparse in the southeast”; (2) the spatial layout suitability of rural settlements in Pingyao County is relatively good, mainly high suitability and relative suitability, showing the distribution characteristics of “low suitability in the northwest, high suitability in the southeast, and good suitability close to the central urban area”; (3) according to the logical thinking of natural factors - comprehensive evaluation - development potential - resource advantage, the settlements are classified into four categories: urban-suburban integration, agglomeration expansion, guidance and control, and relocation and merger, and the development directions are pointed out by this study.

Key words: rural settlements, minimal cumulative resistance model, layout optimization, Pingyao County