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伊洛河流域近水型传统乡村聚落形态演变研究 被引量:6

Research on Pattern Evolution of Traditionally Rural Settlements Adjacent to Waters in Yiluo River Basin
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摘要 以伊洛河流域内传统乡村聚落为研究对象,探究聚落的近水性特征和形态演变规律。运用地理信息系统(GIS)的最邻近指数、核密度分析等空间分析方法和长宽比、形状指数等聚落形态测度方法,同时介入时空分析的手段,研究伊洛河流域传统乡村聚落空间格局分异特征。结果表明:伊洛河流域传统乡村聚落呈现“大集聚、小分散”的空间分布特征,传统乡村聚落具有明显的趋水分布特征;近水型乡村聚落形态特征显著,其空间形态多经历由“临河—沿河—跨河”发展阶段。借助量化分析,可有效识别乡村聚落形态特征;聚落应发挥自身特色优势,推动聚落良性的发展。 Taking the traditional rural settlements in the Yiluo River basin as research objects, the characteristics adjacent to waters and pattern evolution of the settlements were explored. Aiming at the traditional rural settlement in the Yiluo River basin, the different characteristics of spatial patterns for traditional rural settlements in the Yiluo River basin were studied by the spatial analysis methods such as the nearest index of GIS, the core density analysis and the measurement methods of settlement patterns involving aspect ratios and shape indexes, and simultaneously, by means of space-time analysis. The results showed that traditionally rural settlements in the Yiluo River basin appeared the spatial distribution characteristics of “large concentration and small dispersion”, and the traditionally rural settlements had obvious characteristics of tendency to waters;the pattern characteristics of rural settlements adjacent to waters were evident, and the spatial patterns experienced the evolution of different stages from “adjacent to waters-along rivers-crossing rivers”. By quantitative analysis, the pattern characteristics of rural settlements could be effectively identified and settlements should give full play to their own characteristic advantages to promote their benign development.
作者 李林汝 张东 石春华 LI Linru;ZHANG Dong;SHI Chunhua(School of Land Engineering,Chang’an University,Xi’an 710064,China;College of Architecture,Zhengzhou University,Zhengzhou 450001,China)
出处 《工业建筑》 CSCD 北大核心 2022年第11期104-110,共7页 Industrial Construction
基金 河南兴文化工程文化研究专项项目(182400410379)。
关键词 传统乡村聚落 空间分布 空间形态 长宽比 形状指数 traditional rural settlement spatial distribution spatial form aspect ratio shape index
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