Scholarlink

<p>In mountainous cities, mountain landscapes are a crucial component of urban nature, offering rich perceptual layers and angles due to their complex topography, and serving as a vital embodiment of urban culture and place identity. Studying the visual perception patterns of these landscapes from a public perspective provides new dimensions for landscape value assessment. This study, taking Chongqing, China as a case study, aims to construct a multi-dimensional mountain perception analysis framework that integrates multi-source data and advanced technologies. We extracted spatial information and element proportions from geo-tagged images and used a Geographically Weighted Regression (GWR) model to quantitatively analyze the correlation between various factors and mountain proportionate density. The results show that public visual perception of mountain landscapes exhibits two spatial characteristics: a high frequency in mid-to-short distance riverside areas and a high perceptual intensity in high-elevation locations. Building Proportion (BP), Green View Index (GVI), and Sky View Factor (SVF) are highly correlated with mountain perception and demonstrate significant spatial heterogeneity. Furthermore, the Shannon–Wiener Index (SWI) shows a weak negative correlation with mountain perception. This study reveals the spatial patterns and influencing mechanisms of mountain landscape perception to better formulate urban planning and landscape renewal strategies, thereby fostering a harmonious relationship between humans and nature.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Understanding Landscape Perception in Mountainous Cities: Mapping its Patterns and Influencing Factors

  • 期刊论文

  • 发表日期：

    2026年5月18日

查看全文
  • Changyu Zhang,
  • Yu Cheng,
  • Lingna Zhu,
  • Huasong Mao,
  • Yizhao Du,
  • Xinrui Yu

摘要

In mountainous cities, mountain landscapes are a crucial component of urban nature, offering rich perceptual layers and angles due to their complex topography, and serving as a vital embodiment of urban culture and place identity. Studying the visual perception patterns of these landscapes from a public perspective provides new dimensions for landscape value assessment. This study, taking Chongqing, China as a case study, aims to construct a multi-dimensional mountain perception analysis framework that integrates multi-source data and advanced technologies. We extracted spatial information and element proportions from geo-tagged images and used a Geographically Weighted Regression (GWR) model to quantitatively analyze the correlation between various factors and mountain proportionate density. The results show that public visual perception of mountain landscapes exhibits two spatial characteristics: a high frequency in mid-to-short distance riverside areas and a high perceptual intensity in high-elevation locations. Building Proportion (BP), Green View Index (GVI), and Sky View Factor (SVF) are highly correlated with mountain perception and demonstrate significant spatial heterogeneity. Furthermore, the Shannon–Wiener Index (SWI) shows a weak negative correlation with mountain perception. This study reveals the spatial patterns and influencing mechanisms of mountain landscape perception to better formulate urban planning and landscape renewal strategies, thereby fostering a harmonious relationship between humans and nature.