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山东省非物质文化遗产的时空分异及其影响因素研究

Study on the spatial and temporal differentiation of intangible cultural heritage and its influencing factors in Shandong province.

作者信息

Zou Linliang, Tai Pengfei, Wang Xinchun, Jiao Junjie, Wang Yingtian

机构信息

School of Sports Science, Qufu Normal University, Jining, 273165, China.

Shandong Rural Revitalization Sports Research Institute, Qufu Normal University, Jining, 273165, China.

出版信息

Sci Rep. 2025 Jul 10;15(1):24792. doi: 10.1038/s41598-025-09368-2.

DOI:10.1038/s41598-025-09368-2
PMID:40634543
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12241318/
Abstract

This study examines 357 sports-related intangible cultural heritage (ICH) items in Shandong Province, employing an integrated methodology combining GIS spatial analysis, geodetector modeling, and comparative approaches to investigate their multi-tiered spatial distribution patterns. Through six analytical dimensions-natural ecological environment, sociodemographic conditions, economic development level, regional cultural foundations, transportation accessibility, and policy frameworks-the research systematically evaluates differential influences on spatial configuration. Key findings reveal: (1) Shandong possesses a substantial concentration of sports-related ICH resources with widespread municipal distribution. Among them, a series of results such as the geographic concentration index G = 28.56, Moran's I 0.94, and Nearest neighbor ratio 0.1 indicate significant clustering characteristics; (2) Macroscale clustering occurs predominantly along the Yellow River Basin and Jiaodong Peninsula coastal zones. (3) Regional high-density clusters emerge in Jinan(1.48-2.03 cores/km), Heze(1.06-1.31 cores/km), Zibo(1.18-1.54 cores/km), and Tsingtao(1.07-1.48 cells/km), with medium-density clusters spanning Liaocheng, Jining, and Tai'an. (4) Multivariate analysis identifies economic development and sociodemographic factors as primary spatial determinants, with transportation networks and cultural foundations serving as significant contributors. Natural environmental factors and policy interventions exhibit comparatively limited explanatory power. The study proposes targeted recommendations for optimizing spatial distribution patterns and advancing preservation strategies for both Yellow River civilization and regional sports traditions.

摘要

本研究对山东省357项与体育相关的非物质文化遗产项目进行了考察,采用地理信息系统(GIS)空间分析、地理探测器建模和比较研究方法相结合的综合方法,以探究其多层次的空间分布模式。通过自然生态环境、社会人口状况、经济发展水平、区域文化基础、交通可达性和政策框架这六个分析维度,该研究系统地评估了对空间格局的差异影响。主要研究结果表明:(1)山东拥有大量与体育相关的非物质文化遗产资源,在各市分布广泛。其中,地理集中指数G = 28.56、莫兰指数I为0.94以及最近邻比率为0.1等一系列结果表明存在显著的集聚特征;(2)宏观尺度上的集聚主要发生在黄河流域和胶东半岛沿海地区;(3)区域高密度集群出现在济南(1.48 - 2.03个核心/平方公里)、菏泽(1.06 - 1.31个核心/平方公里)、淄博(1.18 - 1.54个核心/平方公里)和青岛(1.07 - 1.48个单元/平方公里),中等密度集群分布在聊城、济宁和泰安;(4)多变量分析确定经济发展和社会人口因素为主要空间决定因素,交通网络和文化基础也起到了重要作用。自然环境因素和政策干预的解释力相对有限。该研究针对优化空间分布模式以及推进黄河文明和区域体育传统的保护策略提出了针对性建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88f/12241318/f2530e9f5423/41598_2025_9368_Fig8_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88f/12241318/6e028781f7b9/41598_2025_9368_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88f/12241318/22524915aa26/41598_2025_9368_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88f/12241318/5794832f06b0/41598_2025_9368_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88f/12241318/f2530e9f5423/41598_2025_9368_Fig8_HTML.jpg

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