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太行山区传统村落时空分布及演变特征研究 被引量:15

SPATIO-TEMPORAL DISTRIBUTION AND EVOLUTIONARY CHARACTERISTICS OF TRADITIONAL VILLAGES IN TAIHANG MOUNTAINS AREA
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摘要 以太行山区列入中国传统村落名录的675个传统村落为研究对象,在对其地理属性、村落成因、成村朝代等基础数据分类统计基础上,构建地理信息系统(GIS)数据库,并借助GIS的最邻近指数法、核密度估算法等方法,对太行山区传统村落的时空分布及其演变特征进行研究,发现:(1)太行山区传统村落空间分布形成三大集聚区和四大过渡扩散区,在各历史时期呈聚集分布,且主要为山地型;(2)太行山区各历史时期新增传统村落呈增长趋势,并有显著的圈层扩展和点-轴扩展趋势;(3)不同成因类型传统村落空间分布差异性大,成因为军事战乱、外来移民、宗教文化型数量变化明显。以期为太行山区传统村落的文脉谱系研究、分级保护、区域联动发展研究等提供新思路。 This paper takes 675 traditional villages in Taihang Mountains area which are listed in the Traditional Chinese Villages Catalog as the research object,and sets up a spatial distribution database on the basis of the basic data classification statistics of their geographical attributes,causes of village formation,social attributes,the dynasty of village formation,etc.Then,the paper analyzes the spatio-temporal distribution of traditional villages in the Taihang Mountains area and their evolutionary characteristics by means of the nearest neighbor index and kernel density estimation of GIS.It finds that:first,the spatial distribution of traditional villages in Taihang Mountains area forms three agglomeration areas and four transitional diffusion areas,which are mainly clustered mountainous villages distributed in each historical period;second,the newly-added traditional villages in each historical period are increasing,and featured by conentric expansion and point-axis expansion;third,the spatial distribution of different genetic types of traditional villages is quite different owing to the number of military warfare,immigrants,and religious cultures.This paper aims to provide new ideas for research on context pedigree,hierarchical protection,and regional linkage development of traditional villages in Taihang Mountains area.
作者 张慧 蔡佳祺 肖少英 刘晶晶 岳小超 ZHANG Hui;CAI Jiaqi;XIAO Shaoying;LIU Jingjing;YUE Xiaochao
出处 《城市规划》 CSSCI CSCD 北大核心 2020年第8期90-97,共8页 City Planning Review
基金 河北省社会科学基金项目(HB15SH047)。
关键词 太行山区 传统村落 时空分布 GIS Taihang Mountains area traditional villages spatial and temporal distribution GIS
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