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Quality Evaluation of Public Spaces in Traditional Villages: A Study Using Deep Learning and Panoramic Images

文献类型：期刊论文

作者Meng, Shiyu2; Liu, Chenhui2; Zeng, Yuxi1; Xu, Rongfang2; Zhang, Chaoyu2; Chen, Yuke2; Wang, Kechen2; Zhang, Yunlu2
刊名LAND
出版日期2024-10-01
卷号13期号:10页码:24
关键词traditional villages public spaces quality evaluation system deep learning panoramic images
DOI10.3390/land13101584
通讯作者Zhang, Yunlu(zhangyunlu@bjfu.edu.cn)
英文摘要In the context of rapid urbanization, public spaces in traditional villages face challenges such as material ageing, loss of characteristics, and functional decline. The scientific and objective assessment of the quality of these public spaces is crucial for the sustainable development of traditional villages. Panoramic images, as an important source of spatial data, combined with deep learning technology, can objectively quantify the characteristics of public spaces in traditional villages. However, existing research has paid insufficient attention to the evaluation of the quality of public spaces in traditional villages at the micro-scale, often relying on questionnaires and interviews, which makes it difficult to meet the needs of planning and construction. This study constructs an evaluation system for the quality of public spaces in traditional villages, taking national-level traditional villages in the Fangshan District of Beijing as an example, based on traditional field research, using deep learning and panoramic images to automatically extract the features of public spaces in traditional villages, using a combination of the Analytic Hierarchy Process (AHP) and Criteria Importance Through Intercriteria Correlation (CRITIC) methods to determine the weights of the indicators and applying the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to evaluate the quality of public spaces in traditional villages. The study found that the quality of public spaces in Nanjiao Village is Grade I; Shuiyu Village and Liulinshui Village, Grade III; and Heilongguan Village, Grade IV and that there is still much room for improvement in general. The evaluation results match well with the public's subjective perceptions, with an R2 value of 0.832, proving that the constructed evaluation system has a high degree of accuracy. This study provides a scientific basis and an effective tool for the planning, design, and management of public spaces in traditional villages, which helps decision-makers better protect and utilize them.
WOS关键词RURAL TOURISM ; LANDSCAPE ; HERITAGE
资助项目General Project of Humanities and Social Sciences Research of the Ministry of Education of China ; Key Project of the State Forestry and Grassland Administration of China[2023132050] ; Fundamental Research Funds of the Central Universities[PTYX202440] ; [23YJA760118]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001343037100001
出版者MDPI
资助机构General Project of Humanities and Social Sciences Research of the Ministry of Education of China ; Key Project of the State Forestry and Grassland Administration of China ; Fundamental Research Funds of the Central Universities
源URL[http://ir.igsnrr.ac.cn/handle/311030/209848]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Yunlu
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Beijing Forestry Univ, Sch Landscape Architecture, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714		 Meng, Shiyu,Liu, Chenhui,Zeng, Yuxi,et al. Quality Evaluation of Public Spaces in Traditional Villages: A Study Using Deep Learning and Panoramic Images[J]. LAND,2024,13(10):24.
APA Meng, Shiyu.,Liu, Chenhui.,Zeng, Yuxi.,Xu, Rongfang.,Zhang, Chaoyu.,...&Zhang, Yunlu.(2024).Quality Evaluation of Public Spaces in Traditional Villages: A Study Using Deep Learning and Panoramic Images.LAND,13(10),24.
MLA Meng, Shiyu,et al."Quality Evaluation of Public Spaces in Traditional Villages: A Study Using Deep Learning and Panoramic Images".LAND 13.10(2024):24.

入库方式： OAI收割

来源：地理科学与资源研究所

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