Developing of rural settlement landscape gene research system based on content analysis
Developing of rural settlement landscape gene research system based on content analysis
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基于内容分析的乡村聚落景观基因研究体系构建
DOI：
10.1080/13467581.2022.2160638
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发表时间：
2022-12
影响因子：
1.3
通讯作者：
Huan Xu;Tian-Tian Zhang-Tian;Beichen Ge;Yuhong Song
中科院分区：
文献类型：
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作者：
Huan Xu;Tian-Tian Zhang-Tian;Beichen Ge;Yuhong Song
基于乡土景观特征在乡村发展过程中的保护问题，通过内容分析，构建了一套识别乡土景观外在特征和内在价值的创新研究体系。景观基因是隐含在乡村景观中的价值观、知识、文化习俗和思维方式。乡村景观基因研究体系包括景观要素与特征研究、景观构成规律研究和景观基因研究三个方面；以及两个阶段：提取景观基因和探索景观基因的适应性。随后，通过对182篇论文的内容提取和统计分析，分别从乡村环境尺度、乡村内部空间尺度和乡土建筑尺度中选择71个景观基因研究描述性指标。基于该指标体系，绘制了五里村和巴雅中村两个传统村落景观要素特征及构成规律的对比图。本研究构建的研究框架对于推荐农村发展和管理政策，增强当地社区特别是少数民族社区的认同感和归属感具有重要意义。
ABSTRACT Based on the issue of how to preserve vernacular landscape characters in the process of rural development, an innovative research system for identifying the extrinsic characters and the intrinsic value of village landscapes was developed through content analysis. Landscape genes are values, knowledge, cultural practices, and modes of thought implicit in the rural landscapes. The village landscape gene research system includes three aspects: landscape element and trait research, landscape composition regularity research, and landscape genes research; as well as two stages: extracting landscape genes and exploring the adaptability of landscape genes. Afterwards, through the content extraction and statistical analysis of 182 theses, 71 descriptive indices for landscape gene research were selected from the scales of rural environment, internal space of the village and vernacular architecture respectively. A comparative map of the landscape element traits and composition regularities of the two traditional villages, Wuli village and Baya Middle village, was drawn based on the index system. The research framework developed in this study has great significance for recommending rural development and management policies as well as enhancing the identification and belonging of local communities, especially for ethnic minority people.