湖北农业科学 ›› 2025, Vol. 64 ›› Issue (5): 251-257.doi: 10.14088/j.cnki.issn0439-8114.2025.05.038

• 乡村振兴 • 上一篇    

陕西省传统村落空间格局及其影响因素

王科越, 刘辉   

  1. 宝鸡文理学院地理与环境学院,陕西 宝鸡 721000
  • 收稿日期:2023-09-27 出版日期:2025-05-25 发布日期:2025-06-11
  • 作者简介:王科越(1998-),女,陕西安康人,在读硕士研究生,研究方向为中国传统村落,(电话)17609254162(电子信箱)2987306515@qq.com。
  • 基金资助:
    陕西省重点智库研究项目(2023ZD615); 哲学社会科学专项课题(BJSKZX-202307)

Spatial pattern of traditional villages in Shaanxi Province and its influencing factors

WANG Ke-yue, LIU Hui   

  1. School of Geographic & #x00026;Environmental Sciences, Baoji University of Arts and Sciences, Baoji 721000, Shaanxi, China
  • Received:2023-09-27 Published:2025-05-25 Online:2025-06-11

摘要: 选取了陕西省113个传统村落作为研究对象,采用最邻近距离、核密度估计值、地理集中指数、基尼系数、不平衡指数等方法探索陕西省传统村落的空间分布特征及其影响因素。结果表明,陕西省传统村落的平均最邻近距离为0.676 9,传统村落空间分布类型为集聚型;陕西省传统村落的不平衡指数为0.758,表明传统村落在10个市的分布不均衡;榆林市、渭南市、安康市的传统村落数量占比超过70%,其他市的传统村落数量较少。榆林市、渭南市和安康市的传统村落在空间分布上高度集中,形成了高密度核心区域;而延安市、咸阳市和汉中市的传统村落在空间分布上呈分散状态,其核密度明显低于高密度核心区。陕西省传统村落的空间格局分布受到自然地理因素(地形地貌、气候条件、河流水系)和社会人文因素(交通条件、距离城市行政中心距离、历史文化)的综合影响。

关键词: 传统村落, 最邻近距离, 空间格局, 影响因素, 陕西省

Abstract: A total of 113 traditional villages in Shaanxi Province were selected as research objects. The nearest neighbor distance, kernel density estimation, geographical concentration index, Gini coefficient, and imbalance index were adopted to explore the spatial distribution characteristics and influencing factors of traditional villages. The results indicated that the average nearest neighbor distance of traditional villages in Shaanxi Province was 0.676 9, suggesting a clustered spatial distribution pattern. The imbalance index of traditional villages was 0.758, reflecting an uneven distribution across 10 prefecture-level cities. Over 70% of traditional villages were concentrated in Yulin City, Weinan City, and Ankang City, while other cities had significantly fewer traditional villages. The traditional villages in Yulin City, Weinan City, and Ankang City exhibited high spatial concentration, forming high-density core areas. In contrast, the villages in Yan’an City, Xianyang City, and Hanzhong City showed dispersed spatial patterns, with significantly lower kernel density values compared to the core areas. The spatial pattern of traditional villages was comprehensively influenced by natural geographic factors (topography, climate conditions, river systems) and socio-cultural factors (transportation accessibility, distance to administrative centers, historical and cultural heritage).

Key words: traditional villages, the nearest neighbor distance, spatial pattern, influencing factors, Shaanxi province

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