测绘通报 ›› 2026, Vol. 0 ›› Issue (8): 103-111.doi: 10.13474/j.cnki.11-2246.2026.0815

• 学术研究 • 上一篇    

视觉感知驱动下传统村落景观空间质量评价

姚绪辉1, 李瑞君2, 侯笑宇3   

  1. 1. 河北北方学院, 河北 张家口 075000;
    2. 北京服装学院, 北京 100029;
    3. 中国地图出版社集团有限公司, 北京 100054
  • 收稿日期:2026-06-05 发布日期:2026-09-12
  • 通讯作者: 侯笑宇。E-mail:houxiaoyu@sinomaps.com
  • 作者简介:姚绪辉(1984—),男,博士,副教授,研究方向为数字赋能乡村文化景观保护与感知研究。E-mail:yyxh2006@126.com
  • 基金资助:
    河北省社会科学基金项目(HB25YS013)

Evaluation of landscape spatial quality in traditional villages driven by visual perception

Yao Xuhui1, Li Ruijun2, Hou Xiaoyu3   

  1. 1. Hebei North University, Zhangjiakou 075000, China;
    2. Beijing Institute of Fashion Technology, Beijing 100029, China;
    3. SinoMaps Press Group Co., Ltd., Beijing 100054, China
  • Received:2026-06-05 Published:2026-09-12

摘要: [目的] 景观视觉质量评价对传统村落的景观空间质量及风貌保护与发展具有重要意义,本文旨在研究如何建立公众景观偏好与景观特征之间的关联。[方法] 通过眼动追踪获取生理数据,并结合问卷获取主观偏好评分;采用图像分割与CatBoost-SHAP模型,分析各景观要素对视觉偏好的贡献度。[结果] 结果表明,历史文化景观偏好评分最高,注视热点集中于人工要素,其中建筑要素最受喜爱;眼跳频率和平均瞳孔直径对偏好呈极显著影响(P<0.001),注视频率呈显著影响(P<0.01);建筑与生土风貌肌理为核心要素,人工与自然比值也是重要因子;建筑促进偏好,而非固有特征存在阈值,突破后产生抑制。[结论] 基于眼动分析、主观偏好评分与CatBoost-SHAP模型可有效揭示公众偏好与景观特征的关联机制,为传统村落适应性保护与开发提供决策参考。

关键词: 传统村落, 视觉感知, 景观特征, 文化景观, 空间质量评价

Abstract: [Purposes] Landscape visual quality evaluation is of great significance for the protection and development of traditional villages' landscape spatial quality and features.How to establish the association between public landscape preference and landscape characteristics has become research focuses. [Methods] This study proposes to acquire physiological data through eye-tracking,combined with questionnaire surveys to obtain subjective preference scores.Image segmentation and the CatBoost-SHAP model were employed to analyze the contribution of each landscape element to visual preference. [Findings] Historical and cultural landscapes received the highest preference scores.Fixation hotspots were concentrated on artificial elements,among which architectural elements were the most favored.Saccade frequency and average pupil diameter showed a highly significant effect on preference (P<0.001),while fixation frequency showed a significant effect (P<0.01).Architectural features and the textural characteristics of raw-soil features were identified as core elements,and the artificial-to-natural ratio was also an important factor.Architecture promoted landscape preference,whereas non-intrinsic features exhibited a nonlinear effect with a certain threshold range,beyond which an inhibitory effect occurred. [Conclusions] The combination of eye-tracking analysis,subjective preference scores,and the CatBoost-SHAP model can effectively reveal the association mechanism between public preference and landscape characteristics,providing decision-making references for the adaptive protection and development of traditional villages.

Key words: traditional village, visual perception, landscape characteristics, cultural landscape, spatial quality assessment

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