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基于搬迁距离约束的农村居民点整理潜力测算 被引量:29

Estimation of land consolidation potential of rural residential areas based on constraint of relocation distance
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摘要 农村居民点整理潜力分析是土地整治规划的重要环节。为了合理测算农村居民点整理潜力,该文提出了现实潜力测算新思路。通过农户搬迁意愿调查,以搬迁距离为约束条件,该文构建了农村居民点人均建设用地指标法改进模型,并以广西壮族自治区宾阳县为例,定量分析了基于农户搬迁意愿的农村居民点整理现实潜力。测算结果表明在考虑农户搬迁距离情况下的测算潜力仅为传统人均建设用地指标法测算潜力的69.67%,说明搬迁距离对农村居民点整理潜力具有显著影响。研究认为通过农户搬迁意愿调查,在ArcGIS平台辅助下选择适宜搬迁居民点测算的潜力,在整理实施过程中能得到农户积极支持,并减少搬迁面积和资金投入,因此具有较好的可行性。 Estimation of rural residential land consolidation potential is important for land consolidation planning. In order to get the reasonable estimation of the consolidation potential of rural residential areas, a new acculation method of the realistic potential was discussed in this paper. Taking Binyang County, Guangxi Autonomous Region as a case, an improved model of Method of Constructive Land Standard per capita (MCLS) was established in this paper, which used the relocation distance as a constraint. Based on the questionnaires of relocation willingness, the consolidation potential of rural residential areas in Bingyang County in 2020 was calculated by this model. The results showed that: compared with the traditional MCLS, the calculated potential reduced 30.33% while considering the relocation distance, which indicated the significant influences of relocation distance on the land consolidation potential of rural residential areas. Considering the constraint of relocation distance, the relocation areas could be reduced effectively, so as to reduce the compensation of relocation households under the ArcGIS platform. Besides, for the consideration of their behalf, the consolidation was reliable to get support from the local residents. Thus the new model was feasible and promising.
出处 《农业工程学报》 EI CAS CSCD 北大核心 2011年第12期337-342,共6页 Transactions of the Chinese Society of Agricultural Engineering
基金 教育部博士学科点专项科研基金(200804860051)
关键词 土地利用 农村地区 模型 土地整理 区域规划 农户意愿 人均建设用地指标法 land use rural areas models land consolidation regional planning households’ willingness method of constructive land standard per capita
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