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

Enxiang Cai, Shihong Long, Ling Li, Ying Luo, Liling Ge, Weiqiang Chen and Guoquan Li ()
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Enxiang Cai: College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China
Shihong Long: College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China
Ling Li: College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China
Ying Luo: School of Tourism Management and Exhibition, Henan University of Economics and Law, Zhengzhou 450016, China
Liling Ge: Henan Provincial Institute of Land and Space Survey and Planning, Zhengzhou 450012, China
Weiqiang Chen: College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China
Guoquan Li: College of Plant Protection, Henan Agricultural University, Zhengzhou 450002, China

Land, 2024, vol. 13, issue 12, 1-21

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.

Keywords: rural residential areas; optimization; minimum cumulative resistance; policy regulation; flood detention basin (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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