[1]吴奇霖,张 捷,王 攀,等.数字赋能省域传统村落整体保护利用的技术路径研究——以山西省为例[J].中国名城,2026,40(6):85-92.[doi:10.19924/j.cnki.1674-4144.2026.006.010]
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数字赋能省域传统村落整体保护利用的技术路径研究——以山西省为例()

中国名城[ISSN:1674-4144/CN:32-1793/GO]

卷:
40
期数:
2026年6期
页码:
85-92
栏目:
出版日期:
2025-06-05

文章信息/Info

Title:
Research on the Digital-Enabled Technical Path for Holistic Conservation and Utilization of Provincial-Level Traditional Villages: A Case Study of Shanxi Province
文章编号:
1674-4144（2026）006-0085-08
作者:
吴奇霖; 张 捷; 王 攀; 张晓俊
吴奇霖，北京清华同衡规划设计研究院有限公司文化与自然资源研究所项目经理，规划师；张 捷，北京清华同衡规划设计研究院有限公司文化与自然资源研究所所长，高级工程师，注册城乡规划师；王 攀，北京清华同衡规划设计研究院有限公司文化与自然资源研究所高级工程师，注册城乡规划师；张晓俊，北京清华同衡规划设计研究院有限公司文化与自然资源研究所助理研究员。
Author(s):
WU Qilin; ZHANG Jie; WANG Pan; ZHANG Xiaojun
关键词:
传统村落; 地理空间信息; 深度学习; 历史文化; 山西
Keywords:
traditional villages; geospatial information; deep learning; historical culture; Shanxi Province
分类号:
TU984
DOI:
10.19924/j.cnki.1674-4144.2026.006.010
文献标志码:
A
摘要:
在中共中央办公厅、国务院办公厅《关于在城乡建设中加强历史文化保护传承的意见》、乡村振兴战略以及新一轮国土空间乡村规划的政策背景下，传统村落保护向复苏振兴、内涵式发展转型，保护利用潜力评估成为关键。山西省作为北方汉民族地区乡村历史文化资源最丰富的省份，虽拥有619处中国传统村落（全国第5位），但仍面临空间分布未厘清、规模特征待精准识别、多元保护模式缺失三大问题。基于山西历史地理背景与传统村落价值特征，构建“地理空间分析＋深度学习肌理识别＋自组织映射（SOM）聚类潜力评估”一体化数字技术路径，嵌入历史文化价值维度，形成“现状诊断—特征识别—潜力评估”闭环，旨在解决保护与发展矛盾，为省域传统村落可持续传承提供理论与实践支撑，也为北方地区提供可复制的数字技术应用范式。
Abstract:
Under the policy context of the Opinions on Strengthening the Conservation and Inheritance of Historical Culture in Urban and Rural Construction issued by the General Office of the Central Committee of the Communist Party of China and the State Council, the rural revitalization strategy, the new round of territorial spatial rural planning, and the conservation of traditional villages is transitioning toward revitalization and connotative development, making the assessment of conservation and utilization potential a critical priority. As the province with the richest rural historical and cultural resources among Han Chinese settlements in northern China, Shanxi possesses 619 Chinese Traditional Villages (ranking 5th nationally), yet still faces three major challenges: unclear spatial distribution patterns, imprecise identification of scale characteristics, and a lack of diversified conservation models. Based on Shanxi’s historical geographical context and the value characteristics of its traditional villages, this study constructs an integrated digital technical framework of "spatial geographic analysis + deep learning texture identification + SOM clustering potential assessment," embedding the dimension of historical and cultural value to form a closed loop of "status diagnosis—characteristic identification—potential assessment." The aim is to resolve the contradiction between conservation and development, provide theoretical and practical support for the sustainable inheritance of traditional villages at the provincial level, and offer a replicable paradigm of digital technology application for northern China.

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更新日期/Last Update: 2026-06-15