Optimization of Rural Residential Areas in Flood Detention Basins Based on Dual Minimum Accumulation Resistance Model: A Case Study of Xun County in Central China

Optimizing rural residential areas (RRAs) in environmentally fragile areas such as flood detention basins is of great significance for improving the human–land relationship and achieving sustainable rural development. This study took Xun County in central China as a case study, established a dual minimum cumulative resistance model (DMCR) that considered the dual factors of natural attributes and policy regulations to evaluate the optimization resistance of RRAs and determined the optimization directions and strategies accordingly. The main results are: (1) RRAs are relatively small and scattered, and there are spatial conflicts with policy regulations such as flood detention basin and urban development boundaries. (2) The spatial difference in optimization resistance of RRAS is higher in the central and northern towns and lower in the western and eastern towns. The factors with significant effects include policy resistance, location resistance, and production resistance. (3) The optimization of RRAs is divided into three directions: annexation or evacuation, consolidation and improvement, and clustering and upgrading, with their respective area proportions of 31.17%, 48.12%, and 20.72%. (4) RRAs in the direction of clustering and upgrading allow for moderate expansion; RRAs in the direction of consolidation and improvement achieve smart reduction through the renovation of homesteads; RRAs in the direction of annexation or evacuation are gradually integrated into the urban area in the suburbs and completely demolished in the outer suburbs.

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Publication Details

Journal
Land
Published
2024-12-18
DOI
https://doi.org/10.3390/land13122217
Citations
1
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.28

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article

Optimization of Rural Residential Areas in Flood Detention Basins Based on Dual Minimum Accumulation Resistance Model: A Case Study of Xun County in Central China

Lei Ge, Enxiang Cai, Luo Ying, Long Sun et al.
1 citations
Land
Land Use and Ecosystem Services
0.28
article

Optimization of Rural Residential Areas in Flood Detention Basins Based on Dual Minimum Accumulation Resistance Model: A Case Study of Xun County in Central China

Lei Ge, Enxiang Cai, Luo Ying, Long Sun, Ling Li, Weiqiang Chen, Guoquan Li
article en
1 citations

Abstract

Optimizing rural residential areas (RRAs) in environmentally fragile areas such as flood detention basins is of great significance for improving the human–land relationship and achieving sustainable rural development. This study took Xun County in central China as a case study, established a dual minimum cumulative resistance model (DMCR) that considered the dual factors of natural attributes and policy regulations to evaluate the optimization resistance of RRAs and determined the optimization directions and strategies accordingly. The main results are: (1) RRAs are relatively small and scattered, and there are spatial conflicts with policy regulations such as flood detention basin and urban development boundaries. (2) The spatial difference in optimization resistance of RRAS is higher in the central and northern towns and lower in the western and eastern towns. The factors with significant effects include policy resistance, location resistance, and production resistance. (3) The optimization of RRAs is divided into three directions: annexation or evacuation, consolidation and improvement, and clustering and upgrading, with their respective area proportions of 31.17%, 48.12%, and 20.72%. (4) RRAs in the direction of clustering and upgrading allow for moderate expansion; RRAs in the direction of consolidation and improvement achieve smart reduction through the renovation of homesteads; RRAs in the direction of annexation or evacuation are gradually integrated into the urban area in the suburbs and completely demolished in the outer suburbs.

LandVol. 13(12)
Henan Agricultural University (CN), Henan University of Economic and Law (CN)
National Key Research and Development Program of China
Sustainable cities and communities
Openalex Percentile: Top 39%
Land Use and Ecosystem Services
0.28
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